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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. | UNINA-9910484309003321 |
| Berlin, Germany ; ; New York, New York : , : Springer, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
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 |
Big data
Computational intelligence Data mining Sociophysics Econophysics Social sciences—Data processing Social sciences—Computer programs Big Data/Analytics Big Data Computational Intelligence Data Mining and Knowledge Discovery Data-driven Science, Modeling and Theory Building Computational Social Sciences |
| 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 for heavy 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 | ||
| Materiale a stampa | ||
| 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 Optical data processing Computers and civilization Application software Artificial Intelligence Data Mining and Knowledge Discovery Pattern Recognition Image Processing and Computer Vision Computers and Society Computer Applications |
| ISBN | 3-319-23868-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910299249803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| 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 Health 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 | ||
| Materiale a stampa | ||
| 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 | ||
| Materiale a stampa | ||
| 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 | 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. | UNINA-9910592987103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Emerging trends in intelligent and interactive systems and applications : proceedings of the 5th International Conference on Intelligent, Interactive Systems and Applications (IISA2020) / / Madjid Tavana, Nadia Nedjah and Reda Alhajj (editors)
| Emerging trends in intelligent and interactive systems and applications : proceedings of the 5th International Conference on Intelligent, Interactive Systems and Applications (IISA2020) / / Madjid Tavana, Nadia Nedjah and Reda Alhajj (editors) |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : 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 |
| ISBN | 3-030-63784-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483304103321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Encyclopedia of Social Network Analysis and Mining [[electronic resource] /] / edited by Reda Alhajj, Jon Rokne
| Encyclopedia of Social Network Analysis and Mining [[electronic resource] /] / edited by Reda Alhajj, Jon Rokne |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (2200 p. 500 illus., 250 illus. in color.) |
| Disciplina | 004.6 |
| Soggetto topico |
Computer communication systems
Sociology Sociophysics Econophysics Bioinformatics Computers and civilization System safety Computer Communication Networks Sociology, general Data-driven Science, Modeling and Theory Building Computers and Society Security Science and Technology |
| ISBN | 1-4614-7163-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applied Computational Geometry for Social Networks -- Basics of Social Network Model Construction and Evolution -- Current and Future Research Directions -- Data Collection, Data Extraction, and Data Preparation for Social Networks Analysis and Mining -- Data Management for Social Networks and Social Media -- Data Mining and Machine Learning Techniques for Social Networks -- Graph Theory for Social Networks (Sociograms) -- History of Social Networks: Past, Present and Future -- Internet, Web 2.0, Web Services and Semantic Web -- Linear Algebra and Statistics for Social Networks -- Online Social Networks, Social Networking Sites and Social Media -- Privacy and Security Issues in Social Networks -- Social Communities -- Social Network Analysis -- Social Network Applications in Business, Organizations, industry and Case studies -- Social Network Applications in Homeland Security, Terrorism, Fraud Detection, Public Sector, Politics and Case studies -- Social Network Applications in Scientific, Engineering, medical domain and Case studies -- Social Network Construction, Visualization and Analysis Tools -- Spatio-Temporal Aspects in Social Networks and Social Media -- Static Versus Dynamic Networks -- Technology for Online Social Networking and Human Computer Interact. |
| Record Nr. | UNISA-996465365803316 |
| New York, NY : , : Springer New York : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Encyclopedia of Social Network Analysis and Mining [[electronic resource] /] / edited by Reda Alhajj, Jon Rokne
| Encyclopedia of Social Network Analysis and Mining [[electronic resource] /] / edited by Reda Alhajj, Jon Rokne |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (2200 p. 500 illus., 250 illus. in color.) |
| Disciplina | 004.6 |
| Soggetto topico |
Computer communication systems
Sociology Sociophysics Econophysics Bioinformatics Computers and civilization System safety Computer Communication Networks Sociology, general Data-driven Science, Modeling and Theory Building Computers and Society Security Science and Technology |
| ISBN | 1-4614-7163-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applied Computational Geometry for Social Networks -- Basics of Social Network Model Construction and Evolution -- Current and Future Research Directions -- Data Collection, Data Extraction, and Data Preparation for Social Networks Analysis and Mining -- Data Management for Social Networks and Social Media -- Data Mining and Machine Learning Techniques for Social Networks -- Graph Theory for Social Networks (Sociograms) -- History of Social Networks: Past, Present and Future -- Internet, Web 2.0, Web Services and Semantic Web -- Linear Algebra and Statistics for Social Networks -- Online Social Networks, Social Networking Sites and Social Media -- Privacy and Security Issues in Social Networks -- Social Communities -- Social Network Analysis -- Social Network Applications in Business, Organizations, industry and Case studies -- Social Network Applications in Homeland Security, Terrorism, Fraud Detection, Public Sector, Politics and Case studies -- Social Network Applications in Scientific, Engineering, medical domain and Case studies -- Social Network Construction, Visualization and Analysis Tools -- Spatio-Temporal Aspects in Social Networks and Social Media -- Static Versus Dynamic Networks -- Technology for Online Social Networking and Human Computer Interact. |
| Record Nr. | UNINA-9910733709203321 |
| New York, NY : , : Springer New York : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
