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Advances in natural computation, fuzzy systems and knowledge discovery / / editors, Hongying Meng [and five others]
Advances in natural computation, fuzzy systems and knowledge discovery / / editors, Hongying Meng [and five others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (1951 pages)
Disciplina 006.38
Collana Lecture Notes on Data Engineering and Communications Technologies
Soggetto topico Natural computation
Fuzzy systems
Sistemes borrosos
Mineria de dades
Soggetto genere / forma Llibres electrònics
ISBN 3-030-70665-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- General Chairs -- Program Chairs -- Organizing Chairs -- Finance Chairs -- Tutorial Chairs -- Registration Chairs -- Publication Chairs -- Publicity Chairs -- Contents -- Derivation of Multitemporal Kauth-Thoms Transformation for GF-2 mIHS Pansharpening Digital Number Data -- 1 Introduction -- 2 Data and Methods -- 2.1 Data -- 2.2 Kauth-Thomas Transformation -- 3 Results and Discussions -- 4 Conclusions -- References -- Quasi-circular Vegetation Patch Mapping with Multitemporal Kauth-Thomas Transformation of the mIHS Pansharpened GF-2 Images -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Site -- 2.2 Gaofen-2 Data -- 2.3 Multitemporal Kauth-Thomas Transformation -- 3 Results and Discussions -- 4 Conclusions -- References -- Prediction of Hot Events Forwarding Based on Variable-Order SEIR Infectious Disease Model -- 1 Introduction -- 2 Modeling of Event Forwarding Prediction -- 2.1 Traditional Integer-Order SEIR Model -- 2.2 The Variable-Order SEIR Model -- 3 Results and Discussion -- 3.1 The Effect of Changing Probability , on the SEIR Epidemic Model -- 3.2 Comparison Between the Variable-Order and Traditional SEIR Model -- 3.3 Comparison of the Variable-Order SEIR Model and BP Neural Network Prediction -- 4 Conclusion -- References -- Research on Innovation of Chinese Medicine Prescriptions Based on Fuzzy Clustering and Fuzzy Pattern Recognition -- 1 Introduction -- 2 Fuzzy Membership Degree and Fuzzy Quantification Method -- 2.1 Fuzzy Clustering Analysis -- 3 Experiment of Clustering Analysis -- 4 Fuzzy Pattern Recognition -- 5 Experiment of Fuzzy Pattern Recognition -- 6 Conclusion -- References -- A Conceptual Professional Assessment Model Based RDF Data Crowdsourcing -- 1 Introduction -- 2 Related Work -- 3 Worker Concept Professional Assessment Model -- 3.1 Related Definitions.
3.2 Conceptual Professional Assessment Model Architecture -- 3.3 Conceptual Alignment Strategy Based on Standard Knowledge Base -- 3.4 Test Task Extraction -- 3.5 Option Build -- 4 Experimental Design and Experimental Analysis -- 4.1 Experimental Dataset -- 4.2 Experiment Design and Result Analysis -- 5 Conclusion -- References -- MAHS: A System for Mining and Analysing Hot-Spots from Bike-Sharing Data -- 1 Introduction -- 2 System Overview -- 3 Demonstration Scenario -- 4 Conclusion -- References -- The Construction of Integrated Product Development Framework in Aviation Manufacturing Enterprise -- 1 Introduce -- 2 IPD System Construction and Practice -- 2.1 Development Activity Structure -- 2.2 Project Team Organization -- 2.3 Decision Making -- 2.4 Development Tools and Techniques -- 2.5 Product Strategy Process -- 2.6 Technology Management -- 2.7 Pipeline Management -- 2.8 IT Environment -- 3 Conclusion -- References -- Multi-label Learning with Missing Labels Based on Instance-Wise and Label-Wise Correlations for Image Classification -- 1 Introduction -- 2 Related Works -- 3 The Proposed Method -- 3.1 Label Consistency -- 3.2 Instance-Wise Correlation -- 3.3 Label-Wise Correlation -- 3.4 The Objective Function -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimenting Settings -- 4.3 Results and Analyses -- 5 Conclusion -- References -- Policy System and Market Mechanism Suggestion of Energy Storage Industry in China -- 1 Introduction -- 2 Domestic and Overseas Energy Storage Related Policies and Market Mechanisms -- 3 Domestic Policies Status -- 4 Policy Suggestions on Energy Storage Development in China -- 4.1 Improving Market Operating of Energy Storage Participating in Auxiliary Service -- 4.2 Accelerating the Power Demand Side Management for Promoting the Construction of Energy Storage on Power User Side.
4.3 Setting Priorities for Scheduling Process of Energy Storage System -- 4.4 Promoting Market-Oriented Development of Energy Storage by Increasing Related Tax Preference -- 4.5 Promoting the Power Capacity System Reform -- 5 Conclusion -- References -- Insights into Markets for Technology in China: Evidence from Patent Trades -- 1 Introduction -- 2 Literature Review -- 3 Data Source and Methodology -- 3.1 Data Source -- 3.2 Methodology -- 4 Results -- 4.1 General Trend of Patent Trades -- 4.2 Ingredients of Markets for Technology -- 5 Discussions and Conclusions -- References -- Cloud Task Prediction Model Based on Singular Spectrum Analysis, Empirical Mode Decomposition and Temporal Convolutional Network -- 1 Introduction -- 2 Proposed Mode and Related Methods and Model -- 2.1 Singular Spectrum Analysis -- 2.2 Empirical Mode Decomposition -- 2.3 Temporal Convolution Network -- 3 Experiments Results and Analysis -- 3.1 Data Processing -- 3.2 Compared with Other Algorithms and Analysis -- 4 Conclusions and Future Work -- References -- Mining High Utility Itemsets Using Ant Colony Optimization -- 1 Introduction -- 2 Preliminaries -- 2.1 Problem of HUIM -- 2.2 Ant Colony Optimization -- 3 Modeling HUIM Using ACO -- 3.1 Pheromone Matrix -- 3.2 Initialization of Search Path -- 3.3 State Transition Rule -- 4 Mining HUIs Using ACO -- 4.1 Bitmap Item Information Representation -- 4.2 Proposed Algorithm -- 5 Performance Evaluation -- 5.1 Test Environment and Datasets -- 5.2 Runtime -- 5.3 Number of Discovered HUIs -- 6 Conclusions -- References -- A Hierarchical Scene Text Detector Concerning Hard Examples -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Network Design -- 3.2 Label Generation -- 3.3 Multi-level Prediction with FPN -- 3.4 Edge Inhibition Branch -- 3.5 Loss Function -- 4 Experiments -- 4.1 Datasets.
4.2 Determination of Loss Function Parameters -- 4.3 Comparison with State-of-art Detectors -- 5 Conclusion and Future Work -- References -- Edge Guided Loss in Image Inpainting -- 1 Introduction -- 2 Related Work -- 2.1 Partial Convolution Layer -- 2.2 Perceptual Loss and Style Loss -- 3 Proposed Method -- 3.1 Edge Guided Loss Term -- 3.2 Weighted Perceptual Loss -- 3.3 Total Loss Function -- 4 Experiments -- 4.1 Training -- 4.2 The Learning Curve of Sobel Loss Function -- 4.3 Experimental Results -- 5 Conclusion -- References -- Speech Enhancement Based on Deep Neural Network and Recurrent Neural Network -- 1 Introduction -- 2 Speech Enhancement Based on DNN and RNN -- 2.1 DNN-Based Speech Enhancement -- 2.2 RNN Model and Model Fusion -- 3 Experiments -- 3.1 Experimental Configurations -- 3.2 Results and Analysis -- 4 Conclusion -- References -- Collaborative Filtering Recommendation Combining Adversarial Network and Attention Mechanism -- 1 Introduction -- 2 Related Work -- 2.1 Generate Adversarial Network Module -- 2.2 Attention Mechanism Model -- 2.3 ACFGAN -- 3 Experiment and Analysis -- 3.1 Data Set Introduction and Preprocessing -- 3.2 Experimental Parameters -- 3.3 Experimental Results and Analysis -- 4 Conclusions and Expectations -- References -- Fractional STIR Epidemic Model for Opinion Dissemination in Social Networks -- 1 Introduction -- 2 Related Work -- 3 The Model Establishment -- 3.1 The Traditional SIR Model -- 3.2 The Fractional STIR Model -- 4 Simulation Results and Analysis -- 5 Conclusion -- References -- Heterogeneous-Aware Online Cloud Task Scheduler Based on Clustering and Deep Reinforcement Learning Ensemble -- 1 Introduction -- 2 Related Work -- 3 Scheduling Algorithm -- 3.1 Problem Formulation -- 3.2 Task Scheduling Algorithm -- 4 Experiments -- 5 Conclusion -- References.
High-Low Spatial Frequency Feature for Siamese Network Visual Tracking -- 1 Introduction -- 2 Related Work -- 2.1 Siamese Network Trace -- 2.2 High Performance Feature Extractors -- 3 Method -- 3.1 Siamese Framework Trackers -- 3.2 Combine High- and Low-Frequency Feature Maps -- 3.3 Change the ResNet with New Convolution -- 4 Experiment -- 4.1 Implementation Details -- 4.2 Value of Low-Frequency Channels -- 4.3 Compare Siamese-Res and Our Siamese Trackers -- 4.4 Result and Analyses -- 5 Conclusion -- References -- Chinese License Plate Character Recognition Algorithm Based on Perceptron and Deep Neural Network -- 1 Introduction -- 2 Algorithm Framework -- 2.1 Design of Superposition Operation and Similarity Operation Based on Perceptron -- 2.2 Design of Difference Operation Based on DNN -- 3 Design of the Character Templates -- 4 Character Recognition -- 5 Experimental Simulation and Analysis -- 6 Conclusion -- References -- Research on Emergency Mission Planning Model and Algorithm of Networking Autonomous Imaging Satellite -- 1 Introduction -- 2 Model Research -- 2.1 Research Hypothesis -- 2.2 Symbol Definition -- 2.3 Constraint Design -- 2.4 Multi-objective Function Design -- 2.5 Optimize Multiple Objectives -- 3 Algorithm Research -- 4 Algorithm Effect Analysis -- 5 Conclusion -- References -- New Global Membership Scaling Fuzzy C-Means Clustering Algorithm -- 1 Introduction -- 2 Review and Some New Findings of FCM -- 3 The Global Membership Degrees Scaling Scheme -- 3.1 New Interpretation About the Membership Degree -- 3.2 How to Filter Efficiently -- 3.3 How to Choose the Increment/Decrement of Membership Degree -- 4 Experimental Results -- 4.1 Experiments on Synthetic Data Sets -- 4.2 Experiments on Real World Data Sets -- 5 Conclusion -- References -- Mining Similar Words with Similarity Ranking -- 1 Introduction.
2 Mining Similar Word Based on Word2vec.
Record Nr. UNINA-9910488710903321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Agents and multi-agent systems : technologies and applications 2021 : proceedings of 15th KES International Conference, KES-AMSTA 2021, June 2021 / / edited by G. Jezic [and five others]
Agents and multi-agent systems : technologies and applications 2021 : proceedings of 15th KES International Conference, KES-AMSTA 2021, June 2021 / / edited by G. Jezic [and five others]
Pubbl/distr/stampa Singapore : , : Springer, , [2021]
Descrizione fisica 1 online resource (509 pages)
Disciplina 006.3
Collana Smart Innovation, Systems and Technologies
Soggetto topico Computational intelligence
Data mining
Knowledge representation (Information theory)
Intel·ligència computacional
Mineria de dades
Representació del coneixement (Teoria de la informació)
Soggetto genere / forma Llibres electrònics
ISBN 981-16-2994-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910484963503321
Singapore : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Analysis of Images, Social Networks and Texts : 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina
Analysis of Images, Social Networks and Texts : 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (480 pages)
Disciplina 006.31
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Data mining
Machine learning
Natural language processing (Computer science)
Database management
Algorithms
Data Mining and Knowledge Discovery
Machine Learning
Natural Language Processing (NLP)
Database Management
Design and Analysis of Algorithms
Mineria de dades
Processament d'imatges
Processament digital d'imatges
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-030-72610-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- Making ML Models Fairer through Explanations: the Case of LimeOut -- RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain -- On Interpretability and Similarity in Concept-Based Machine Learning -- Natural Language Processing -- DaNetQA: a yes/no Question Answering Dataset for the Russian Language -- Do Topics Make a Metaphor? Topic Modeling for Metaphor Identification and Analysis in Russian -- Metagraph-Based Approach for Neural Text Question Generation -- Abstractive Summarization of Russian News Learning on Quality Media -- RST Discourse Parser for Russian: an Experimental Study of Deep Learning Models -- A Comparative Study of Feature Types for Age-Based Text Classification -- Emotion Classification in Russian: Feature Engineering and Analysis -- Generating Sport Summaries: A Case Study for Russian -- Automatic Generation of Annotated Collection for Recognition of Sentiment Frames -- ELMo and BERT in Semantic Change Detection for Russian -- BERT for Sequence-to-Sequence Multi-Label Text Classification -- Computer Vision -- Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans -- Identifying User Interests and Habits Using Object Detection and Semantic Segmentation Models -- Semi-Automatic Manga Colorization Using Conditional Adversarial Networks -- Automated Image and Video Quality Assessment for Computational Video Editing -- An Ensemble-based Classifier of Photographs of Commercial Buildings Facades -- Social Network Analysis -- Linking Friends in Social Networks using HashTag Attributes -- Emotional Analysis of Russian Texts Using Emojis in Social Networks -- Community Detection Based on the Nodes Role in a Network: the Telegram Platform Case -- Study Of Strategies For Disseminating Information In Social Networks Using Simulation Tools -- Data Analysis and Machine Learning -- Advanced Data Recognition Technique for Real-Time and Monitoring Systems -- Human Action Recognition for Boxing Training Simulator -- Bayesian Filtering in a Latent Space to Predict Bank Net Income from Acquiring -- Gradient-Based Adversarial Attacks on Categorical Sequence Models via Traversing an Embedded World -- Russia on the Global Artificial Intelligence Scene -- New Properties Of The Data Distillation Method When Working With Tabular Data -- Unsupervised Anomaly Detection for Semi-Structured Sequence Healthcare Data -- Theoretical Machine Learning and Optimization -- Lower Bound Polynomial Fast Procedure for the Resource-Constrained Project Scheduling Problem Tested on PSPLIB Instances -- Fast Approximation Algorithms for Stabbing Special Families of Line Segments with Equal Disks -- Process Mining -- Checking Conformance between Colored Petri Nets and Event Logs -- Data and Reference Semantic-Based Simulator of DB-nets with the Use of Renew Tool. .
Record Nr. UNINA-9910484903503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence and Natural Language : 8th Conference, AINL 2019, Tartu, Estonia, November 20–22, 2019, Proceedings / / edited by Dmitry Ustalov, Andrey Filchenkov, Lidia Pivovarova
Artificial Intelligence and Natural Language : 8th Conference, AINL 2019, Tartu, Estonia, November 20–22, 2019, Proceedings / / edited by Dmitry Ustalov, Andrey Filchenkov, Lidia Pivovarova
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (X, 173 p. 125 illus., 37 illus. in color.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Data mining
Information storage and retrieval
Database management
Application software
Optical data processing
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Database Management
Computer Appl. in Social and Behavioral Sciences
Computer Imaging, Vision, Pattern Recognition and Graphics
Intel·ligència artificial
Mineria de dades
Sistemes d'informació
Gestió de bases de dades
Soggetto genere / forma Llibres electrònics
ISBN 3-030-34518-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Acquisition and Annotation -- Human-Computer Interaction -- Statistical Natural Language Processing -- Neural Language Models.
Record Nr. UNINA-9910357850103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The beginner's guide to data science / / Robert Ball and Brian Rague
The beginner's guide to data science / / Robert Ball and Brian Rague
Autore Ball Robert
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (251 pages)
Disciplina 005.7
Soggetto topico Big data
Data mining
Dades massives
Mineria de dades
Soggetto genere / forma Llibres electrònics
ISBN 3-031-07865-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910631100303321
Ball Robert  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The beginner's guide to data science / / Robert Ball and Brian Rague
The beginner's guide to data science / / Robert Ball and Brian Rague
Autore Ball Robert
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (251 pages)
Disciplina 005.7
Soggetto topico Big data
Data mining
Dades massives
Mineria de dades
Soggetto genere / forma Llibres electrònics
ISBN 3-031-07865-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996499869603316
Ball Robert  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Big data and social media analytics : trending applications / / Mehmet Çakırtaş, Mehmet Kemal Ozdemir, editors
Big data and social media analytics : trending applications / / Mehmet Çakırtaş, Mehmet Kemal Ozdemir, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (246 pages)
Disciplina 005.7
Collana Lecture notes in social networks
Soggetto topico Dades massives
Mineria de dades
Comunitats virtuals
Big data
Soggetto genere / forma Llibres electrònics
ISBN 3-030-67044-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Contents -- Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis -- 1 Introduction -- 2 Scholarly Networks Analysis -- 3 Preliminaries and Data -- 3.1 Co-authorship Network of Network Scientists -- 3.2 Glossary -- 3.3 Data Collection and Preparation -- 4 Analysis of Network Science Papers -- 5 Analysis of the Co-authorship Network -- 6 Conclusion -- References -- Impact of Locational Factors on Business Ratings/Reviews: A Yelp and TripAdvisor Study -- 1 Introduction -- 2 Related Work -- 3 Methodology and Datasets -- 3.1 Methodology -- 3.2 Restaurant Success Metric -- 3.3 Restaurant Dataset -- 3.3.1 Yelp-2019 Dataset -- 3.3.2 TripAdvisor Dataset -- 3.4 Location Dataset -- 4 Effect of Location Parameters on Restaurant Success -- 4.1 Location Characteristic Parameters -- 4.1.1 Living Standard -- 4.1.2 Tourism Significance -- 4.1.3 Business Convenience -- 4.1.4 Combined Parameters -- 4.2 Correlation Metrics -- 4.2.1 Spearman's Correlation -- 4.2.2 Kendall's Correlation -- 4.3 Correlation Results -- 4.3.1 State-Wise Correlation Using All Restaurants -- 4.3.2 Cluster-Wise Correlation Using All Restaurants -- 5 Conclusion -- References -- Identifying Reliable Recommenders in Users' Collaborating Filtering and Social Neighbourhoods -- 1 Introduction -- 2 Related Work -- 3 SN CF Prediction Formulation Foundations -- 4 The Proposed Algorithm and the Partial Prediction Combination Alternatives -- 4.1 The Proposed Algorithm -- 4.2 Alternatives for Combining the CF and SN Partial Predictions -- 4.3 Complexity Analysis -- 5 Experimental Evaluation -- 5.1 Prediction Accuracy Experiments Using the PCC as the Similarity Metric -- 5.2 Prediction Accuracy Experiments Using the CS as the Similarity Metric -- 6 Conclusions and Future Work -- References.
Safe Travelling Period Recommendation to High Attack Risk European Destinations Based on Past Attack Information -- 1 Introduction -- 2 Related Work -- 3 Algorithm Prerequisites -- 4 Prediction Algorithm -- 5 Experimental Results -- 5.1 Number of Attacks as the Evaluation Parameter -- 5.2 Number of Fatalities as the Evaluation Parameter -- 6 Conclusion and Future Work -- References -- Analyzing Cyber Influence Campaigns on YouTube Using YouTubeTracker -- 1 Introduction -- 2 State of the Art in YouTube Analysis -- 3 YouTubeTracker -- 3.1 Tracker Feature -- 3.2 Posting Frequency -- 3.3 Content Analysis -- 3.4 Content Engagement -- 4 Case Study: 2018 Trident Juncture Exercise -- 5 Extended Work -- 5.1 Elasticsearch -- 5.2 2019 Canadian Elections Use-Case -- 5.3 Video Characterization Using T-SNE and Barcode Visualization -- 6 Conclusion and Future Works -- References -- Blog Data Analytics Using Blogtrackers -- 1 Introduction -- 2 State of the Art in Blog Monitoring and Analysis -- 3 Blogtrackers: Analytical Capabilities -- 4 Analysis of Asia-Pacific Blogs: A Case Study -- 5 Conclusion and Future Works -- References -- Using Social Media Surveillance in Order to Enhance the Effectiveness of Crew Members in Search and Rescue Missions -- 1 Introduction -- 2 Related Work -- 2.1 Search and Rescue Missions (SARs) -- 2.2 Social Media in Crisis Situations -- 2.3 Visual Search Principles & -- Patterns -- 3 Problem Statement -- 4 Methodology -- 4.1 Description -- 4.2 Simulation Platform -- 4.3 Scenario -- 5 Experimental Analysis -- 5.1 Experimental Description -- 5.2 Results -- 6 Conclusions -- References -- Visual Exploration and Debugging of Machine Learning Classification over Social Media Data -- 1 Introduction -- 2 Related Work -- 3 SAVIZ: Brief Overview -- 3.1 User Experience -- 4 Conclusion -- References.
Efficient and Flexible Compression of Very Sparse Networksof Big Data -- 1 Introduction -- 2 Background and Related Work -- 3 Our Efficient and Flexible Compression Model -- 3.1 Graph Representation of a Social Network -- 3.2 Matrix Representation of a Social Network -- 3.3 Bit Vector Representation of a Follower in a Social Network -- 3.4 Word-Aligned Hybrid (WAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.4.1 An Example of WAH Compressed Bitmap -- 3.5 Improved Position List Word-Aligned Hybrid (IPLWAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.5.1 An Example of IPLWAH(1) Compressed Bitmap -- 3.5.2 An Example of IPLWAH(2) Compressed Bitmap -- 3.6 Multi-group Position List Word-Aligned Hybrid (MPLWAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.6.1 An Example of MPLWAH(2) Compressed Bitmap -- 3.6.2 An Example of MPLWAH(3) Compressed Bitmap -- 3.6.3 Other Examples of MPLWAH(3) Compressed Bitmaps -- 4 Our Data Science Solution for Social Network Mining on MPLWAH Compressed Bitmaps -- 4.1 An Example of Discovering Frequently Followed Groups of Followees from a Social Network Represented by a Collection of MPLWAH(3) Compressed Bitmaps -- 5 Evaluation -- 5.1 Evaluation on Memory Consumption -- 5.2 Evaluation on Runtime -- 5.3 Evaluation on Scalability -- 6 Conclusion -- References -- Weather Big Data Analytics: Seeking Motifs in Multivariate Weather Data -- 1 Introduction -- 2 Related Work -- 3 Temperatures Time Series Analysis and Clustering -- 3.1 Data Acquisition -- 3.2 Data Preparation and Curation -- 3.3 Discretization -- 3.4 LERP-RSA Construction -- 3.5 ARPaD Pattern Discovery -- 3.6 Similarity Meta-analysis -- 4 Experimental Analysis -- 5 Conclusions -- References -- Analysis of Link Prediction Algorithms in Hashtag Graphs -- 1 Introduction.
2 Background and Motivation -- 3 Foundation of the Hashtag Graph -- 3.1 Unweighted Heuristic Link Prediction Methods -- 3.2 Edge-Weighted Heuristic Link Prediction Methods -- 3.3 Graph Neural Network Link Prediction with SEAL -- 3.3.1 SEAL -- 3.3.2 Node Labelling -- 3.4 Other Heuristic Link Prediction Methods -- 3.4.1 Katz Index -- 3.4.2 SimRank -- 3.4.3 Rooted PageRank -- 4 Methodology: Vertex-and-Edge-Weighted Heuristic Link Prediction Methods -- 5 Experimental Setup -- 5.1 Data Collection -- 5.2 Data Pre-processing -- 6 Results -- 6.1 Heuristic Link Prediction Methods -- 6.2 SEAL -- 7 Conclusions and Future Research -- References.
Record Nr. UNISA-996466404703316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Big data and social media analytics : trending applications / / Mehmet Çakırtaş, Mehmet Kemal Ozdemir, editors
Big data and social media analytics : trending applications / / Mehmet Çakırtaş, Mehmet Kemal Ozdemir, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (246 pages)
Disciplina 005.7
Collana Lecture notes in social networks
Soggetto topico Dades massives
Mineria de dades
Comunitats virtuals
Big data
Soggetto genere / forma Llibres electrònics
ISBN 3-030-67044-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Contents -- Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis -- 1 Introduction -- 2 Scholarly Networks Analysis -- 3 Preliminaries and Data -- 3.1 Co-authorship Network of Network Scientists -- 3.2 Glossary -- 3.3 Data Collection and Preparation -- 4 Analysis of Network Science Papers -- 5 Analysis of the Co-authorship Network -- 6 Conclusion -- References -- Impact of Locational Factors on Business Ratings/Reviews: A Yelp and TripAdvisor Study -- 1 Introduction -- 2 Related Work -- 3 Methodology and Datasets -- 3.1 Methodology -- 3.2 Restaurant Success Metric -- 3.3 Restaurant Dataset -- 3.3.1 Yelp-2019 Dataset -- 3.3.2 TripAdvisor Dataset -- 3.4 Location Dataset -- 4 Effect of Location Parameters on Restaurant Success -- 4.1 Location Characteristic Parameters -- 4.1.1 Living Standard -- 4.1.2 Tourism Significance -- 4.1.3 Business Convenience -- 4.1.4 Combined Parameters -- 4.2 Correlation Metrics -- 4.2.1 Spearman's Correlation -- 4.2.2 Kendall's Correlation -- 4.3 Correlation Results -- 4.3.1 State-Wise Correlation Using All Restaurants -- 4.3.2 Cluster-Wise Correlation Using All Restaurants -- 5 Conclusion -- References -- Identifying Reliable Recommenders in Users' Collaborating Filtering and Social Neighbourhoods -- 1 Introduction -- 2 Related Work -- 3 SN CF Prediction Formulation Foundations -- 4 The Proposed Algorithm and the Partial Prediction Combination Alternatives -- 4.1 The Proposed Algorithm -- 4.2 Alternatives for Combining the CF and SN Partial Predictions -- 4.3 Complexity Analysis -- 5 Experimental Evaluation -- 5.1 Prediction Accuracy Experiments Using the PCC as the Similarity Metric -- 5.2 Prediction Accuracy Experiments Using the CS as the Similarity Metric -- 6 Conclusions and Future Work -- References.
Safe Travelling Period Recommendation to High Attack Risk European Destinations Based on Past Attack Information -- 1 Introduction -- 2 Related Work -- 3 Algorithm Prerequisites -- 4 Prediction Algorithm -- 5 Experimental Results -- 5.1 Number of Attacks as the Evaluation Parameter -- 5.2 Number of Fatalities as the Evaluation Parameter -- 6 Conclusion and Future Work -- References -- Analyzing Cyber Influence Campaigns on YouTube Using YouTubeTracker -- 1 Introduction -- 2 State of the Art in YouTube Analysis -- 3 YouTubeTracker -- 3.1 Tracker Feature -- 3.2 Posting Frequency -- 3.3 Content Analysis -- 3.4 Content Engagement -- 4 Case Study: 2018 Trident Juncture Exercise -- 5 Extended Work -- 5.1 Elasticsearch -- 5.2 2019 Canadian Elections Use-Case -- 5.3 Video Characterization Using T-SNE and Barcode Visualization -- 6 Conclusion and Future Works -- References -- Blog Data Analytics Using Blogtrackers -- 1 Introduction -- 2 State of the Art in Blog Monitoring and Analysis -- 3 Blogtrackers: Analytical Capabilities -- 4 Analysis of Asia-Pacific Blogs: A Case Study -- 5 Conclusion and Future Works -- References -- Using Social Media Surveillance in Order to Enhance the Effectiveness of Crew Members in Search and Rescue Missions -- 1 Introduction -- 2 Related Work -- 2.1 Search and Rescue Missions (SARs) -- 2.2 Social Media in Crisis Situations -- 2.3 Visual Search Principles & -- Patterns -- 3 Problem Statement -- 4 Methodology -- 4.1 Description -- 4.2 Simulation Platform -- 4.3 Scenario -- 5 Experimental Analysis -- 5.1 Experimental Description -- 5.2 Results -- 6 Conclusions -- References -- Visual Exploration and Debugging of Machine Learning Classification over Social Media Data -- 1 Introduction -- 2 Related Work -- 3 SAVIZ: Brief Overview -- 3.1 User Experience -- 4 Conclusion -- References.
Efficient and Flexible Compression of Very Sparse Networksof Big Data -- 1 Introduction -- 2 Background and Related Work -- 3 Our Efficient and Flexible Compression Model -- 3.1 Graph Representation of a Social Network -- 3.2 Matrix Representation of a Social Network -- 3.3 Bit Vector Representation of a Follower in a Social Network -- 3.4 Word-Aligned Hybrid (WAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.4.1 An Example of WAH Compressed Bitmap -- 3.5 Improved Position List Word-Aligned Hybrid (IPLWAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.5.1 An Example of IPLWAH(1) Compressed Bitmap -- 3.5.2 An Example of IPLWAH(2) Compressed Bitmap -- 3.6 Multi-group Position List Word-Aligned Hybrid (MPLWAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.6.1 An Example of MPLWAH(2) Compressed Bitmap -- 3.6.2 An Example of MPLWAH(3) Compressed Bitmap -- 3.6.3 Other Examples of MPLWAH(3) Compressed Bitmaps -- 4 Our Data Science Solution for Social Network Mining on MPLWAH Compressed Bitmaps -- 4.1 An Example of Discovering Frequently Followed Groups of Followees from a Social Network Represented by a Collection of MPLWAH(3) Compressed Bitmaps -- 5 Evaluation -- 5.1 Evaluation on Memory Consumption -- 5.2 Evaluation on Runtime -- 5.3 Evaluation on Scalability -- 6 Conclusion -- References -- Weather Big Data Analytics: Seeking Motifs in Multivariate Weather Data -- 1 Introduction -- 2 Related Work -- 3 Temperatures Time Series Analysis and Clustering -- 3.1 Data Acquisition -- 3.2 Data Preparation and Curation -- 3.3 Discretization -- 3.4 LERP-RSA Construction -- 3.5 ARPaD Pattern Discovery -- 3.6 Similarity Meta-analysis -- 4 Experimental Analysis -- 5 Conclusions -- References -- Analysis of Link Prediction Algorithms in Hashtag Graphs -- 1 Introduction.
2 Background and Motivation -- 3 Foundation of the Hashtag Graph -- 3.1 Unweighted Heuristic Link Prediction Methods -- 3.2 Edge-Weighted Heuristic Link Prediction Methods -- 3.3 Graph Neural Network Link Prediction with SEAL -- 3.3.1 SEAL -- 3.3.2 Node Labelling -- 3.4 Other Heuristic Link Prediction Methods -- 3.4.1 Katz Index -- 3.4.2 SimRank -- 3.4.3 Rooted PageRank -- 4 Methodology: Vertex-and-Edge-Weighted Heuristic Link Prediction Methods -- 5 Experimental Setup -- 5.1 Data Collection -- 5.2 Data Pre-processing -- 6 Results -- 6.1 Heuristic Link Prediction Methods -- 6.2 SEAL -- 7 Conclusions and Future Research -- References.
Record Nr. UNINA-9910490024903321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Classification and Data Science in the Digital Age / / edited by Paula Brito, José G. Dias, Berthold Lausen, Angela Montanari, Rebecca Nugent
Classification and Data Science in the Digital Age / / edited by Paula Brito, José G. Dias, Berthold Lausen, Angela Montanari, Rebecca Nugent
Autore Brito Paula
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (393 pages)
Disciplina 005.7
Altri autori (Persone) DiasJosé G
LausenBerthold
MontanariAngela
NugentRebecca
Collana Studies in Classification, Data Analysis, and Knowledge Organization
Soggetto topico Artificial intelligence - Data processing
Machine learning
Data mining
Multivariate analysis
Statistics - Computer programs
Data Science
Statistical Learning
Machine Learning
Data Mining and Knowledge Discovery
Multivariate Analysis
Statistical Software
Intel·ligència artificial
Aprenentatge automàtic
Mineria de dades
Anàlisi multivariable
Soggetto genere / forma Llibres electrònics
ISBN 3-031-09034-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- R. Abdesselam: A Topological Clustering of Individuals -- C. Anton and I. Smith: Model Based Clustering of Functional Data with Mild Outliers -- F. Antonazzo and S. Ingrassia: A Trivariate Geometric Classification of Decision Boundaries for Mixtures of Regressions -- E. Arnone, E. Cunial, and L. M. Sangalli: Generalized Spatio-temporal Regression with PDE Penalization -- R. Ascari and S. Migliorati: A New Regression Model for the Analysis of Microbiome Data -- R. Aschenbruck, G. Szepannek, and A. F. X. Wilhelm: Stability of Mixed-type Cluster Partitions for Determination of the Number of Clusters -- A. Ashofteh and P. Campos: A Review on Official Survey Item Classification for Mixed-Mode Effects Adjustment -- V. Batagelj: Clustering and Blockmodeling Temporal Networks – Two Indirect Approaches -- R. Boutalbi, L. Labiod, and M. Nadif: Latent Block Regression Model -- N. Chabane, M. Achraf Bouaoune, R. Amir Sofiane Tighilt, B. Mazoure, N. Tahiri, and V. Makarenkov: Using Clustering and Machine Learning Methods to Provide Intelligent Grocery Shopping Recommendations -- T. Chadjipadelis and S. Magopoulou: COVID-19 Pandemic: a Methodological Model for the Analysis of Government’s Preventing Measures and Health Data Records -- J. Champagne Gareau, É. Beaudry, and V. Makarenkov: pcTVI: Parallel MDP Solver Using a Decomposition into Independent Chains -- C. Di Nuzzo and S. Ingrassia: Three-way Spectral Clustering -- J. Dobša and H. A. L. Kiers: Improving Classification of Documents by Semi-supervised Clustering in a Semantic Space -- J. Gama: Trends in Data Stream Mining -- L. A. García-Escudero, A. Mayo-Iscar, G. Morelli, and M. Riani: Old and New Constraints in Model Based Clustering -- V. G Genova, G. Giordano, G . Ragozini, and M. Prosperina Vitale: Clustering Student Mobility Data in 3-way Networks -- R. Giubilei: Clustering Brain Connectomes Through a Density-peak Approach -- T. Górecki, M. Šuczak, and P. Piasecki: Similarity Forest for Time Series Classification -- K. Hayashi, E. Hoshino, M. Suzuki, E. Nakanishi, K. Sakai, and M. Obatake: Detection of the Biliary Atresia Using Deep Convolutional Neural Networks Based on Statistical Learning Weights via Optimal Similarity and Resampling Methods -- Ch. Hennig: Some Issues in Robust Clustering -- J. Kalina and P. Janá£ek: Robustness Aspects of Optimized Centroids -- L. Labiod and M. Nadif: Data Clustering and Representation Learning Based on Networked Data -- Lazhar Labiod and Mohamed Nadif: Towards a Bi-stochastic Matrix Approximation of k-means and Some Variants -- A. LaLonde, T. Love, D. R. Young, and T. Wu: Clustering Adolescent Female Physical Activity Levels with an Infinite Mixture Model on Random Effects -- Á. López-Oriona, J. A. Vilar, and P. D’Urso: Unsupervised Classification of Categorical Time Series Through Innovative Distances -- D. Masís, E. Segura, J. Trejos, and A. Xavier: Fuzzy Clustering by Hyperbolic Smoothing -- R. Meng, H. K. H. Lee, and K. Bouchard: Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Networks -- H. Duy Nguyen, F. Forbes, G. Fort, and O. Cappé: An Online Minorization-Maximization Algorithm -- L. Palazzo and R. Ievoli: Detecting Differences in Italian Regional Health Services During Two Covid-19 Waves -- G. Panagiotidou and T. Chadjipadelis: Political and Religion Attitudes in Greece: Behavioral Discourses -- K. Pawlasová, I. Karafiátová, and J. Dvořák: Supervised Classification via Neural Networks for Replicated Point Patterns -- G. Perrone and G. Soffritti: Parsimonious Mixtures of Seemingly Unrelated Contaminated Normal Regression Models -- N. Pronello, R. Ignaccolo, L. Ippoliti, and S. Fontanella: Penalized Model-based Functional Clustering: a Regularization Approach via Shrinkage Methods -- D. Rodrigues, L. P. Reis, and B. M. Faria: Emotion Classification Based on Single Electrode Brain Data: Applications for Assistive Technology -- R. Scimone, A. Menafoglio, L. M. Sangalli, and P. Secchi: The Death Process in Italy Before and During the Covid-19 Pandemic: a Functional Compositional Approach -- O. Silva, Á. Sousa, and H. Bacelar-Nicolau: Clustering Validation in the Context of Hierarchical Cluster Analysis: an Empirical Study -- C. Silvestre, M. G. M. S. Cardoso, and M. Figueiredo: An MML Embedded Approach for Estimating the Number of Clusters -- Á. Sousa, O. Silva, M. Graça Batista, S. Cabral, and H. Bacelar-Nicolau: Typology of Motivation Factors for Employees in the Banking Sector: An Empirical Study Using Multivariate Data Analysis Methods -- J. Michael Spoor, J. Weber, and J. Ovtcharova: A Proposal for Formalization and Definition of Anomalies in Dynamical Systems -- N. Tahiri and A. Koshkarov: New Metrics for Classifying Phylogenetic Trees Using -means and the Symmetric Difference Metric -- S. D. Tomarchio: On Parsimonious Modelling via Matrix-variate t Mixtures -- G. Zammarchi, M. Romano, and C. Conversano: Evolution of Media Coverage on Climate Change and Environmental Awareness: an Analysis of Tweets from UK and US Newspapers.
Record Nr. UNINA-9910768481303321
Brito Paula  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational life sciences : data engineering and data mining for life sciences / / edited by Jens Dörpinghaus [and three others]
Computational life sciences : data engineering and data mining for life sciences / / edited by Jens Dörpinghaus [and three others]
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica 1 online resource (593 pages)
Disciplina 005.7
Collana Studies in Big Data
Soggetto topico Big data
Ciències de la vida
Processament de dades
Gestió de bases de dades
Mineria de dades
Soggetto genere / forma Llibres electrònics
ISBN 3-031-08411-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Interesting Programming Languages used in Life Sciences -- Introduction to Java -- Basic Data Processing -- Algorithm Design -- Data and Knowledge Management -- Databases and Knowledge Graphs -- Knowledge Discovery and AI approaches for the Life Sciences -- Longitudinal Data.
Record Nr. UNINA-9910678263603321
Cham, Switzerland : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui