Advanced data mining and applications : Third international conference, ADMA 2007, Harbin, China, August 6-8, 2007 : proceedings / / Reda Alhajj [and four others]
| Advanced data mining and applications : Third international conference, ADMA 2007, Harbin, China, August 6-8, 2007 : proceedings / / Reda Alhajj [and four others] |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer, , [2007] |
| Descrizione fisica | 1 online resource (XVI, 636 p. 201 illus.) |
| Disciplina | 005.74 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Computer science
Artificial intelligence Data mining |
| ISBN | 3-540-73871-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talk -- Mining Ambiguous Data with Multi-instance Multi-label Representation -- Regular Papers -- DELAY: A Lazy Approach for Mining Frequent Patterns over High Speed Data Streams -- Exploring Content and Linkage Structures for Searching Relevant Web Pages -- CLBCRA-Approach for Combination of Content-Based and Link-Based Ranking in Web Search -- Rough Sets in Hybrid Soft Computing Systems -- Discovering Novel Multistage Attack Strategies -- Privacy Preserving DBSCAN Algorithm for Clustering -- A New Multi-level Algorithm Based on Particle Swarm Optimization for Bisecting Graph -- A Supervised Subspace Learning Algorithm: Supervised Neighborhood Preserving Embedding -- A k-Anonymity Clustering Method for Effective Data Privacy Preservation -- LSSVM with Fuzzy Pre-processing Model Based Aero Engine Data Mining Technology -- A Coding Hierarchy Computing Based Clustering Algorithm -- Mining Both Positive and Negative Association Rules from Frequent and Infrequent Itemsets -- Survey of Improving Naive Bayes for Classification -- Privacy Preserving BIRCH Algorithm for Clustering over Arbitrarily Partitioned Databases -- Unsupervised Outlier Detection in Sensor Networks Using Aggregation Tree -- Separator: Sifting Hierarchical Heavy Hitters Accurately from Data Streams -- Spatial Fuzzy Clustering Using Varying Coefficients -- Collaborative Target Classification for Image Recognition in Wireless Sensor Networks -- Dimensionality Reduction for Mass Spectrometry Data -- The Study of Dynamic Aggregation of Relational Attributes on Relational Data Mining -- Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints -- Efficiently Monitoring Nearest Neighbors to a Moving Object -- A Novel Text Classification Approach Based on Enhanced Association Rule -- Applications of the Moving Average of n th -Order Difference Algorithm for Time Series Prediction -- Inference of Gene Regulatory Network by Bayesian Network Using Metropolis-Hastings Algorithm -- A Consensus Recommender for Web Users -- Constructing Classification Rules Based on SVR and Its Derivative Characteristics -- Hiding Sensitive Associative Classification Rule by Data Reduction -- AOG-ags Algorithms and Applications -- A Framework for Titled Document Categorization with Modified Multinomial Naivebayes Classifier -- Prediction of Protein Subcellular Locations by Combining K-Local Hyperplane Distance Nearest Neighbor -- A Similarity Retrieval Method in Brain Image Sequence Database -- A Criterion for Learning the Data-Dependent Kernel for Classification -- Topic Extraction with AGAPE -- Clustering Massive Text Data Streams by Semantic Smoothing Model -- GraSeq: A Novel Approximate Mining Approach of Sequential Patterns over Data Stream -- A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data -- Optimum Neural Network Construction Via Linear Programming Minimum Sphere Set Covering -- How Investigative Data Mining Can Help Intelligence Agencies to Discover Dependence of Nodes in Terrorist Networks -- Prediction of Enzyme Class by Using Reactive Motifs Generated from Binding and Catalytic Sites -- Bayesian Network Structure Ensemble Learning -- Fusion of Palmprint and Iris for Personal Authentication -- Enhanced Graph Based Genealogical Record Linkage -- A Fuzzy Comprehensive Clustering Method -- Short Papers -- CACS: A Novel Classification Algorithm Based on Concept Similarity -- Data Mining in Tourism Demand Analysis: A Retrospective Analysis -- Chinese Patent Mining Based on Sememe Statistics and Key-Phrase Extraction -- Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis -- Research on the Traffic Matrix Based on Sampling Model -- A Causal Analysis for the Expenditure Data of Business Travelers -- A Visual and Interactive Data Exploration Method for Large Data Sets and Clustering -- Explorative Data Mining on Stock Data – Experimental Results and Findings -- Graph Structural Mining in Terrorist Networks -- Characterizing Pseudobase and Predicting RNA Secondary Structure with Simple H-Type Pseudoknots Based on Dynamic Programming -- Locally Discriminant Projection with Kernels for Feature Extraction -- A GA-Based Feature Subset Selection and Parameter Optimization of Support Vector Machine for Content – Based Image Retrieval -- E-Stream: Evolution-Based Technique for Stream Clustering -- H-BayesClust: A New Hierarchical Clustering Based on Bayesian Networks -- An Improved AdaBoost Algorithm Based on Adaptive Weight Adjusting. |
| Record Nr. | UNISA-996465510503316 |
| Berlin, Germany ; ; New York, New York : , : Springer, , [2007] | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Data Mining and Applications : Third International Conference, ADMA 2007, Harbin, China, August 6-8, 2007 Proceedings / / edited by Reda Alhajj, Hong Gao, Xue Li, Jianzhong Li, Osmar R. Zaiane
| Advanced Data Mining and Applications : Third International Conference, ADMA 2007, Harbin, China, August 6-8, 2007 Proceedings / / edited by Reda Alhajj, Hong Gao, Xue Li, Jianzhong Li, Osmar R. Zaiane |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 |
| Descrizione fisica | 1 online resource (XVI, 636 p. 201 illus.) |
| Disciplina | 005.74 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Database management
Artificial intelligence Data mining Software engineering Information technology - Management Application software Database Management Artificial Intelligence Data Mining and Knowledge Discovery Software Engineering Computer Application in Administrative Data Processing Computer and Information Systems Applications |
| ISBN | 3-540-73871-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talk -- Mining Ambiguous Data with Multi-instance Multi-label Representation -- Regular Papers -- DELAY: A Lazy Approach for Mining Frequent Patterns over High Speed Data Streams -- Exploring Content and Linkage Structures for Searching Relevant Web Pages -- CLBCRA-Approach for Combination of Content-Based and Link-Based Ranking in Web Search -- Rough Sets in Hybrid Soft Computing Systems -- Discovering Novel Multistage Attack Strategies -- Privacy Preserving DBSCAN Algorithm for Clustering -- A New Multi-level Algorithm Based on Particle Swarm Optimization for Bisecting Graph -- A Supervised Subspace Learning Algorithm: Supervised Neighborhood Preserving Embedding -- A k-Anonymity Clustering Method for Effective Data Privacy Preservation -- LSSVM with Fuzzy Pre-processing Model Based Aero Engine Data Mining Technology -- A Coding Hierarchy Computing Based Clustering Algorithm -- Mining Both Positive and Negative Association Rules from Frequent and Infrequent Itemsets -- Survey of Improving Naive Bayes for Classification -- Privacy Preserving BIRCH Algorithm for Clustering over Arbitrarily Partitioned Databases -- Unsupervised Outlier Detection in Sensor Networks Using Aggregation Tree -- Separator: Sifting Hierarchical Heavy Hitters Accurately from Data Streams -- Spatial Fuzzy Clustering Using Varying Coefficients -- Collaborative Target Classification for Image Recognition in Wireless Sensor Networks -- Dimensionality Reduction for Mass Spectrometry Data -- The Study of Dynamic Aggregation of Relational Attributes on Relational Data Mining -- Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints -- Efficiently Monitoring Nearest Neighbors to a Moving Object -- A Novel Text Classification Approach Based onEnhanced Association Rule -- Applications of the Moving Average of n th -Order Difference Algorithm for Time Series Prediction -- Inference of Gene Regulatory Network by Bayesian Network Using Metropolis-Hastings Algorithm -- A Consensus Recommender for Web Users -- Constructing Classification Rules Based on SVR and Its Derivative Characteristics -- Hiding Sensitive Associative Classification Rule by Data Reduction -- AOG-ags Algorithms and Applications -- A Framework for Titled Document Categorization with Modified Multinomial Naivebayes Classifier -- Prediction of Protein Subcellular Locations by Combining K-Local Hyperplane Distance Nearest Neighbor -- A Similarity Retrieval Method in Brain Image Sequence Database -- A Criterion for Learning the Data-Dependent Kernel for Classification -- Topic Extraction with AGAPE -- Clustering Massive Text Data Streams by Semantic Smoothing Model -- GraSeq: A Novel Approximate Mining Approach of Sequential Patterns over Data Stream -- A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data -- Optimum Neural Network Construction Via Linear Programming Minimum Sphere Set Covering -- How Investigative Data Mining Can Help Intelligence Agencies to Discover Dependence of Nodes in Terrorist Networks -- Prediction of Enzyme Class by Using Reactive Motifs Generated from Binding and Catalytic Sites -- Bayesian Network Structure Ensemble Learning -- Fusion of Palmprint and Iris for Personal Authentication -- Enhanced Graph Based Genealogical Record Linkage -- A Fuzzy Comprehensive Clustering Method -- Short Papers -- CACS: A Novel Classification Algorithm Based on Concept Similarity -- Data Mining in Tourism Demand Analysis: A Retrospective Analysis -- Chinese Patent Mining Based on Sememe Statistics and Key-Phrase Extraction -- Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis -- Research on the Traffic Matrix Based on Sampling Model -- A Causal Analysis for the Expenditure Data of Business Travelers -- A Visual and Interactive Data Exploration Method for Large Data Sets and Clustering -- Explorative Data Mining on Stock Data – Experimental Results and Findings -- Graph Structural Mining in Terrorist Networks -- Characterizing Pseudobase and Predicting RNA Secondary Structure with Simple H-Type Pseudoknots Based on Dynamic Programming -- Locally Discriminant Projection with Kernels for Feature Extraction -- A GA-Based Feature Subset Selection and Parameter Optimization of Support Vector Machine for Content – Based Image Retrieval -- E-Stream: Evolution-Based Technique for Stream Clustering -- H-BayesClust: A New Hierarchical Clustering Based on Bayesian Networks -- An Improved AdaBoost Algorithm Based on Adaptive Weight Adjusting. |
| Record Nr. | UNINA-9910484309003321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Social Networks Analysis and Mining : Proceedings of the 16th International Conference on Advances in Social Networks Analysis and Mining - ASONAM 2024 Volume 1 / / edited by I-Hsien Ting, Panagiotis Karampelas, Min-Yuh Day, Reda Alhajj
| Advances in Social Networks Analysis and Mining : Proceedings of the 16th International Conference on Advances in Social Networks Analysis and Mining - ASONAM 2024 Volume 1 / / edited by I-Hsien Ting, Panagiotis Karampelas, Min-Yuh Day, Reda Alhajj |
| Autore | Ting I-Hsien |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (427 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
KarampelasPanagiotis
DayMin-Yuh AlhajjReda |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Application software
Quantitative research Machine learning Computer and Information Systems Applications Data Analysis and Big Data Machine Learning |
| ISBN | 3-031-85240-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Veracity Analysis in Social Medias – A review -- Route Recommendation for Healthcare by Reducing Approach Bias as a Food Desire -- Visual and Textual Analysis of the Online Anti-Feminicide Movement in Mexico: A Narrative Network Approach -- Using Social Network Analysis to Analyze Eye-tracking Behavior Data in the Area of Education Science -- Empirical study of the Sardex network -- A Novel Network Dataset Based on Football Players' Co-Appearances -- Predicting the Role of Temozolomide Drug in Glioma By integrating Available Genomic Databases and Computational Methods -- A Measure of the Robustness of Clusters in a Network with No Ground Truth - A Chronic Lower Back Pain Case Study -- Smart Human Resource Management System -- Searching Temporal Knowledge Graphs to Understand The Impacts of Disasters -- Multi-agent Analytics-Driven Content Discovery: A Narrative Contagion Approach -- Navigating the Anomalies: A Comprehensive Analysis of YouTube Channel Behavior -- ISAC: An Interactive Hierarchical Interface for Efficient Structural Analysis and Vertex Search in Complex Networks -- Russian Invaders on the Internet’s Front Page – A Survey of Behaviors in Ukraine-Related Subreddits -- Echoes of War: How Reddit Narratives Shape Sectarian Views of the Israel-Hamas War -- CantastorIA: Enhancing Audiobook Engagement through Adaptive Soundtracks and Voice Cloning -- Detecting Jailbreaking Prompts: an Anti-Persuation Filter Framework -- Geo-Localization Using Multimodal Large Language Models -- Popping the Social Bubble: Using AI to Increase Transparency in Harmful Content Moderation -- Beyond the Click: How YouTube Thumbnails Shape User Interaction and Algorithmic Recommendations -- A multi-aspect analysis of echo chambers on video-sharing social media -- Bangla Emotion Detection Dataset With An Extended Taxonomy And Its Evaluation -- Homophily Detection in Opinion Dynamics from Reddit Discussions -- Smile for the Camera, Act Green: Corporate Social Media's Deceptive Sustainability Charade -- SocialRec: User Activity Based Post Weighted Dynamic Personalized Post Recommendation System in Social Media -- FLASH: Federated Learning-Based LLMs for Advanced Query Processing in Social Networks through RAG -- Investigating Gender Bias in StackOverflow with LLMs -- 4WHContext: A Context Based Hate Speech Detection Framework From Social Media Posts -- Measuring the Sociolinguistic Patterns of Climate Debate Polarization in the Facebook Context -- Detecting and Measuring Anomalous Behaviors on YouTube -- Beyond Likes: Enhancing Social Media Engagement Metrics -- Claim Verification Leveraging In-Context Learning and Retrieval Augmented Generation -- Deepfake Media Forensics: State of the Art and Challenges Ahead -- A Router-based Parental Control Tool for Safe Social Network Usage, Bipartite Graph Modeling for the Analysis of Fake News Propagation -- Mining Likes and Transactions per User for Cross-Domain Product Recommendation in Social Network and E-Commerce -- Towards Systemic Risk Evaluation, Attribution, and Mitigation in Networked Systems: Work in Progress -- On Understanding the Dark Web through Graph Analytics -- A Deep Neural Framework for Fault Detection in IoT-based Sensor Networks -- Combining Knowledge graph and LLM to extract thesaural relationship and concepts on Cybersecurity -- A Thesaurus for the Cybersecurity domain to specialized knowledge management and indexing operations -- Sentiment Analysis for Early Warnings and Disaster Management: a Survey -- Community Detection in Complex Networks exploiting Spectral Graph Sparsification for Efficient Disaster Response -- HalpernSGD: Enhancing Neural Network Efficiency and Sustainability, Exploiting Halpern-Inspired Optimization [Extended Abstract] -- Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data -- Turning Multidimensional Big Data Analytics into Practice: Design and Implementation of ClustCube Big-Data Tools in Real-Life Scenarios -- Fifty Shapes of Reddit: Do Prolife Activists Have the Same Interaction Patterns of Gun Fanatics? -- Heuristics for the Influence Maximization Problem on Hypergraphs -- Blocking Social Contagions via Dominating Sets Using a Modified Linear Integer Programming Formulation -- Exploring Writing Style Consistency to Timely Identify Heterogeneous Social Bots -- Profit Maximization in Signed Social Networks -- Learning Effectiveness of Natural Science Education in the Context of Social Networks: A Case Study of Plant Identification Application -- Applying Opinion Mining and Social Volume Analysis for Enhanced Visitor Relationship Management in A Museum: An Empirical Study -- Generative AI in ESG Reporting: A Systematic Review -- Research on the Detection and Rephrasing of Toxic Text Based on Large-scale Pre-training Language Models -- Dynamic Stock Trading: Integrating Historical, Real-Time Stock Data and Sentiments for Recommendation and Price Prediction Trends -- A Successive Analysis of Online Networked Common Knowledge Experiments -- EVOLVE: Predicting User Evolution and Network Dynamics in Social Media Using Fine-Tuned GPT-like Model -- CAMERA: Context Based Emotion Detection Framework And Its Evaluation. |
| Record Nr. | UNINA-9911047799803321 |
Ting I-Hsien
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Social Networks Analysis and Mining : Proceedings of the 16th International Conference on Advances in Social Networks Analysis and Mining - ASONAM 2024 Volume 2 / / edited by I-Hsien Ting, Reda Alhajj, Panagiotis Karampelas, Min-Yuh Day
| Advances in Social Networks Analysis and Mining : Proceedings of the 16th International Conference on Advances in Social Networks Analysis and Mining - ASONAM 2024 Volume 2 / / edited by I-Hsien Ting, Reda Alhajj, Panagiotis Karampelas, Min-Yuh Day |
| Autore | Ting I-Hsien |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (584 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
AlhajjReda
KarampelasPanagiotis DayMin-Yuh |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Application software
Quantitative research Machine learning Computer and Information Systems Applications Data Analysis and Big Data Machine Learning |
| ISBN | 3-031-85386-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Veracity Analysis in Social Medias – A review -- Route Recommendation for Healthcare by Reducing Approach Bias as a Food Desire -- Visual and Textual Analysis of the Online Anti-Feminicide Movement in Mexico: A Narrative Network Approach -- Using Social Network Analysis to Analyze Eye-tracking Behavior Data in the Area of Education Science -- Empirical study of the Sardex network -- A Novel Network Dataset Based on Football Players' Co-Appearances -- Predicting the Role of Temozolomide Drug in Glioma By integrating Available Genomic Databases and Computational Methods -- A Measure of the Robustness of Clusters in a Network with No Ground Truth - A Chronic Lower Back Pain Case Study -- Smart Human Resource Management System -- Searching Temporal Knowledge Graphs to Understand The Impacts of Disasters -- Multi-agent Analytics-Driven Content Discovery: A Narrative Contagion Approach -- Navigating the Anomalies: A Comprehensive Analysis of YouTube Channel Behavior -- ISAC: An Interactive Hierarchical Interface for Efficient Structural Analysis and Vertex Search in Complex Networks -- Russian Invaders on the Internet’s Front Page – A Survey of Behaviors in Ukraine-Related Subreddits -- Echoes of War: How Reddit Narratives Shape Sectarian Views of the Israel-Hamas War -- CantastorIA: Enhancing Audiobook Engagement through Adaptive Soundtracks and Voice Cloning -- Detecting Jailbreaking Prompts: an Anti-Persuation Filter Framework -- Geo-Localization Using Multimodal Large Language Models -- Popping the Social Bubble: Using AI to Increase Transparency in Harmful Content Moderation -- Beyond the Click: How YouTube Thumbnails Shape User Interaction and Algorithmic Recommendations -- A multi-aspect analysis of echo chambers on video-sharing social media -- Bangla Emotion Detection Dataset With An Extended Taxonomy And Its Evaluation -- Homophily Detection in Opinion Dynamics from Reddit Discussions -- Smile for the Camera, Act Green: Corporate Social Media's Deceptive Sustainability Charade -- SocialRec: User Activity Based Post Weighted Dynamic Personalized Post Recommendation System in Social Media -- FLASH: Federated Learning-Based LLMs for Advanced Query Processing in Social Networks through RAG -- Investigating Gender Bias in StackOverflow with LLMs. 4WHContext: A Context Based Hate Speech Detection Framework From Social Media Posts -- Measuring the Sociolinguistic Patterns of Climate Debate Polarization in the Facebook Context -- Detecting and Measuring Anomalous Behaviors on YouTube -- Beyond Likes: Enhancing Social Media Engagement Metrics -- Claim Verification Leveraging In-Context Learning and Retrieval Augmented Generation -- Deepfake Media Forensics: State of the Art and Challenges Ahead -- A Router-based Parental Control Tool for Safe Social Network Usage -- Bipartite Graph Modeling for the Analysis of Fake News Propagation -- Mining Likes and Transactions per User for Cross-Domain Product Recommendation in Social Network and E-Commerce -- Towards Systemic Risk Evaluation, Attribution, and Mitigation in Networked Systems: Work in Progress -- On Understanding the Dark Web through Graph Analytics -- A Deep Neural Framework for Fault Detection in IoT-based Sensor Networks -- Combining Knowledge graph and LLM to extract thesaural relationship and concepts on Cybersecurity -- A Thesaurus for the Cybersecurity domain to specialized knowledge management and indexing operations -- Sentiment Analysis for Early Warnings and Disaster Management: a Survey -- Community Detection in Complex Networks exploiting Spectral Graph Sparsification for Efficient Disaster Response -- HalpernSGD: Enhancing Neural Network Efficiency and Sustainability, Exploiting Halpern-Inspired Optimization [Extended Abstract] -- Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data -- Turning Multidimensional Big Data Analytics into Practice: Design and Implementation of ClustCube Big-Data Tools in Real-Life Scenarios -- Fifty Shapes of Reddit: Do Prolife Activists Have the Same Interaction Patterns of Gun Fanatics? -- Heuristics for the Influence Maximization Problem on Hypergraphs -- Blocking Social Contagions via Dominating Sets Using a Modified Linear Integer Programming Formulation -- Exploring Writing Style Consistency to Timely Identify Heterogeneous Social Bots -- Profit Maximization in Signed Social Networks -- Learning Effectiveness of Natural Science Education in the Context of Social Networks: A Case Study of Plant Identification Application -- Applying Opinion Mining and Social Volume Analysis for Enhanced Visitor Relationship Management in A Museum: An Empirical Study -- Generative AI in ESG Reporting: A Systematic Review -- Research on the Detection and Rephrasing of Toxic Text Based on Large-scale Pre-training Language Models -- Dynamic Stock Trading: Integrating Historical, Real-Time Stock Data and Sentiments for Recommendation and Price Prediction Trends -- A Successive Analysis of Online Networked Common Knowledge Experiments -- EVOLVE: Predicting User Evolution and Network Dynamics in Social Media Using Fine-Tuned GPT-like Model -- CAMERA: Context Based Emotion Detection Framework And Its Evaluation. |
| Record Nr. | UNINA-9911009342503321 |
Ting I-Hsien
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of Data Management and Analysis : Case Studies in Social Networks and Beyond / / edited by Mohammad Moshirpour, Behrouz H. Far, Reda Alhajj
| Applications of Data Management and Analysis : Case Studies in Social Networks and Beyond / / edited by Mohammad Moshirpour, Behrouz H. Far, Reda Alhajj |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (viii, 217 pages) : illustrations (chiefly color) |
| Disciplina | 302.3 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Quantitative research
Big data Computational intelligence Data mining System theory Sociology - Methodology Data Analysis and Big Data Big Data Computational Intelligence Data Mining and Knowledge Discovery Complex Systems Sociological Methods |
| ISBN | 3-319-95810-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter1: Predicting Implicit Negative Relations in Online Social Networks -- Chapter2: Automobile insurance fraud detection using social network analysis -- Chapter3: Improving circular layout algorithm for social network visualization using genetic algorithm -- Chapter4: Live Twitter Sentiment Analysis -- Chapter5: Artificial Neural Network Modeling and Forecasting of Oil Reservoir Performance -- Chapter6: A Sliding-Window Algorithm Implementation in MapReduce -- Chapter7: A Fuzzy Dynamic Model for Customer Churn Prediction in Retail Banking Industry -- Chapter8: Temporal Dependency between Evolution of Features and Dynamic Social Networks -- Chapter9: Recommender System for Product Avoidance -- Chapter10: A new 3D value model for customer segmentation:Complex Network Approach -- Chapter11: Finding Influential Factors for Different Types of Cancer: A Data Mining Approach -- Chapter 12: Enhanced load balancer with multi-layer processing architecture forheavy load over cloud network -- Chapter13: Market Basket Analysis Using Community Detection Approach: A Real Case -- Chapter14: Predicting Future with Social Media based on Sentiment and Quantitative Analysis. |
| Record Nr. | UNINA-9910298208903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence Applications and Innovations : 11th IFIP WG 12.5 International Conference, AIAI 2015, Bayonne, France, September 14-17, 2015, Proceedings / / edited by Richard Chbeir, Yannis Manolopoulos, Ilias Maglogiannis, Reda Alhajj
| Artificial Intelligence Applications and Innovations : 11th IFIP WG 12.5 International Conference, AIAI 2015, Bayonne, France, September 14-17, 2015, Proceedings / / edited by Richard Chbeir, Yannis Manolopoulos, Ilias Maglogiannis, Reda Alhajj |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVI, 496 p. 239 illus. in color.) |
| Disciplina | 006.3 |
| Collana | IFIP Advances in Information and Communication Technology |
| Soggetto topico |
Artificial intelligence
Data mining Pattern recognition systems Computer vision Computers and civilization Application software Artificial Intelligence Data Mining and Knowledge Discovery Automated Pattern Recognition Computer Vision Computers and Society Computer and Information Systems Applications |
| ISBN |
9783319238685
331923868X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910299249803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Management and Analysis : Case Studies in Education, Healthcare and Beyond / / edited by Reda Alhajj, Mohammad Moshirpour, Behrouz Far
| Data Management and Analysis : Case Studies in Education, Healthcare and Beyond / / edited by Reda Alhajj, Mohammad Moshirpour, Behrouz Far |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (261 pages) |
| Disciplina | 005.7 |
| Collana | Studies in Big Data |
| Soggetto topico |
Big data
Engineering—Data processing Medical informatics Educational technology Social sciences—Data processing Social sciences—Computer programs Big Data Data Engineering Health Informatics Technology and Digital Education Big Data/Analytics Computational Social Sciences |
| ISBN | 3-030-32587-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter1: Leveraging protection and efficiency of query answering in heterogenous RDF data by a view layer -- Chapter2: Big Data Analytics of Healthcare Tweets for Opinion Mining on Physician Assistants -- Chapter3: An Introductory Multidisciplinary Data Science Course Incorporating Experiential Learning -- Chapter4: Homogenous Vs. Heterogeneous Distributed Data Clustering: A Taxonomy -- Chapter5: Order acceptance policy for make-to-order supply chain -- Chapter6: Importance of Data Analytics for Improving Teaching and Learning Methods -- Chapter7: Prediction Model for Prevalence of Type-2 Diabetes Mellitus Complications Using Machine Learning Approach -- Chapter8: Face Reconstruction from profile to frontal evaluation of face recognition -- Chapter9: A Data Management Scheme for Micro-Level Modular Computation-intensive Programs in Big Data Platforms -- Chapter10: A Vertical Breadth-First Multilevel Path Algorithm to Find All Paths in a Graph -- Chapter11: Workflow Provenance for Big Data: From Modelling to Reporting -- Chapter12: A Perspective on “Working with Data” Curriculum Development -- Chapter13: Approaches for Early Detection of Glaucoma using Retinal Images: A Performance Analysis -- Chapter14: Binary Thermal Exchange Optimization for Feature Selection. |
| Record Nr. | UNINA-9910366609703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Disease Control Through Social Network Surveillance [[electronic resource] /] / edited by Thirimachos Bourlai, Panagiotis Karampelas, Reda Alhajj
| Disease Control Through Social Network Surveillance [[electronic resource] /] / edited by Thirimachos Bourlai, Panagiotis Karampelas, Reda Alhajj |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (237 pages) |
| Disciplina | 302.30285 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Artificial intelligence - Data processing
Medical informatics Public health Epidemiology Data Science Health Informatics Public Health |
| ISBN | 3-031-07869-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Analysis of public perceptions towards the COVID-19 vaccination drive: A case study of Tweets with Machine Learning classifiers (Kaushal Kumar) -- Chapter 2. Spreader-centric Fake News Mitigation framework based on Epidemiology (Bhavtosh Rath) -- Chapter 3. Understanding How Readers Determine the Legitimacy of Online Medical News Articles in the Era of Fake News (Srihaasa Pidikiti) -- Chapter 4. Trends, Politics, Sentiments, and Misinformation: Understanding People’s Reactions to COVID-19 During its Early Stages (Omar Abdel) -- Chapter 5. Citation Graph Analysis and Alignment between Citation Adjacency and Themes or Topics of Publications in the Area of Disease Control through Social Network Surveillance (Moses Boudourides) -- Chapter 6. Privacy in Online Social Networks: A Systematic Mapping Study and a Classification Framework (Sarah Bouraga) -- Chapter 7. Beyond Influence Maximization: Volume Maximization in Social Networks (Abhinav Choudhury) -- Chapter 8. Concerns of Indian Population on Covid-19 Vaccine Shortage amidst second wave infection rate spikes: A Social Media Opinion Analysis (Remya Lathabhavan) -- Chapter 9. Effects of Face Masks on the performance of Modern Face Detectors (Victor Philippe) -- Chapter 10. Multispectral Face Mask Compliance Classification During a Pandemic (Jacob Rose) -- Chapter 11. On the Effectiveness of Periocular-Based Human Authentication when Wearing Face Masks to Slow the Spread of COVID-19 (Ananya Zabin). |
| Record Nr. | UNISA-996490365503316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Disease Control Through Social Network Surveillance / / edited by Thirimachos Bourlai, Panagiotis Karampelas, Reda Alhajj
| Disease Control Through Social Network Surveillance / / edited by Thirimachos Bourlai, Panagiotis Karampelas, Reda Alhajj |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (237 pages) |
| Disciplina |
302.30285
614.4 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Artificial intelligence - Data processing
Medical informatics Public health Epidemiology Data Science Health Informatics Public Health |
| ISBN |
9783031078699
3031078691 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Analysis of public perceptions towards the COVID-19 vaccination drive: A case study of Tweets with Machine Learning classifiers (Kaushal Kumar) -- Chapter 2. Spreader-centric Fake News Mitigation framework based on Epidemiology (Bhavtosh Rath) -- Chapter 3. Understanding How Readers Determine the Legitimacy of Online Medical News Articles in the Era of Fake News (Srihaasa Pidikiti) -- Chapter 4. Trends, Politics, Sentiments, and Misinformation: Understanding People’s Reactions to COVID-19 During its Early Stages (Omar Abdel) -- Chapter 5. Citation Graph Analysis and Alignment between Citation Adjacency and Themes or Topics of Publications in the Area of Disease Control through Social Network Surveillance (Moses Boudourides) -- Chapter 6. Privacy in Online Social Networks: A Systematic Mapping Study and a Classification Framework (Sarah Bouraga) -- Chapter 7. Beyond Influence Maximization: Volume Maximization in Social Networks (Abhinav Choudhury) -- Chapter 8. Concerns of IndianPopulation on Covid-19 Vaccine Shortage amidst second wave infection rate spikes: A Social Media Opinion Analysis (Remya Lathabhavan) -- Chapter 9. Effects of Face Masks on the performance of Modern Face Detectors (Victor Philippe) -- Chapter 10. Multispectral Face Mask Compliance Classification During a Pandemic (Jacob Rose) -- Chapter 11. On the Effectiveness of Periocular-Based Human Authentication when Wearing Face Masks to Slow the Spread of COVID-19 (Ananya Zabin). |
| Record Nr. | UNINA-9910592987103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Emerging Trends in Intelligent and Interactive Systems and Applications : Proceedings of the 5th International Conference on Intelligent, Interactive Systems and Applications (IISA2020) / / edited by Madjid Tavana, Nadia Nedjah, Reda Alhajj
| Emerging Trends in Intelligent and Interactive Systems and Applications : Proceedings of the 5th International Conference on Intelligent, Interactive Systems and Applications (IISA2020) / / edited by Madjid Tavana, Nadia Nedjah, Reda Alhajj |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XIX, 1001 p. 515 illus., 332 illus. in color.) |
| Disciplina | 004.6 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-030-63784-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483304103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||