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Mining, Modeling, and Recommending 'Things' in Social Media

Author: Martin Atzmueller

Publisher: Springer

Published: 2014-12-24

Total Pages: 159

ISBN-13: 3319147234

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This book constitutes the thoroughly refereed joint post-workshop proceedings of the 4th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2013, held in Prague, Czech Republic, in September 2013, and the 4th International Workshop on Modeling Social Media, MSM 2013, held in Paris, France, in May 2013. The 8 full papers included in the book are revised and significantly extended versions of papers submitted to the workshops. The focus is on collective intelligence in ubiquitous and social environments. Issues tackled include personalization in social streams, recommendations exploiting social and ubiquitous data, and efficient information processing in social systems. Furthermore, this book presents work dealing with the problem of mining patterns from ubiquitous social data, including mobility mining and exploratory methods for ubiquitous data analysis.

Book Synopsis Mining, Modeling, and Recommending 'Things' in Social Media by : Martin Atzmueller

Download or read book Mining, Modeling, and Recommending 'Things' in Social Media written by Martin Atzmueller and published by Springer. This book was released on 2014-12-24 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed joint post-workshop proceedings of the 4th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2013, held in Prague, Czech Republic, in September 2013, and the 4th International Workshop on Modeling Social Media, MSM 2013, held in Paris, France, in May 2013. The 8 full papers included in the book are revised and significantly extended versions of papers submitted to the workshops. The focus is on collective intelligence in ubiquitous and social environments. Issues tackled include personalization in social streams, recommendations exploiting social and ubiquitous data, and efficient information processing in social systems. Furthermore, this book presents work dealing with the problem of mining patterns from ubiquitous social data, including mobility mining and exploratory methods for ubiquitous data analysis.

Social Media Mining

Author: Reza Zafarani

Publisher: Cambridge University Press

Published: 2014-04-28

Total Pages: 337

ISBN-13: 1107018854

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Integrates social media, social network analysis, and data mining to provide an understanding of the potentials of social media mining.

Book Synopsis Social Media Mining by : Reza Zafarani

Download or read book Social Media Mining written by Reza Zafarani and published by Cambridge University Press. This book was released on 2014-04-28 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrates social media, social network analysis, and data mining to provide an understanding of the potentials of social media mining.

MSM'13

Author: Association for Computing Machinery

Publisher:

Published: 2013

Total Pages: 40

ISBN-13:

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Book Synopsis MSM'13 by : Association for Computing Machinery

Download or read book MSM'13 written by Association for Computing Machinery and published by . This book was released on 2013 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Formal Concept Analysis of Social Networks

Author: Rokia Missaoui

Publisher: Springer

Published: 2017-11-03

Total Pages: 195

ISBN-13: 3319641670

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The book studies the existing and potential connections between Social Network Analysis (SNA) and Formal Concept Analysis (FCA) by showing how standard SNA techniques, usually based on graph theory, can be supplemented by FCA methods, which rely on lattice theory. The book presents contributions to the following areas: acquisition of terminological knowledge from social networks, knowledge communities, individuality computation, other types of FCA-based analysis of bipartite graphs (two-mode networks), multimodal clustering, community detection and description in one-mode and multi-mode networks, adaptation of the dual-projection approach to weighted bipartite graphs, extensions to the Kleinberg's HITS algorithm as well as attributed graph analysis.

Book Synopsis Formal Concept Analysis of Social Networks by : Rokia Missaoui

Download or read book Formal Concept Analysis of Social Networks written by Rokia Missaoui and published by Springer. This book was released on 2017-11-03 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book studies the existing and potential connections between Social Network Analysis (SNA) and Formal Concept Analysis (FCA) by showing how standard SNA techniques, usually based on graph theory, can be supplemented by FCA methods, which rely on lattice theory. The book presents contributions to the following areas: acquisition of terminological knowledge from social networks, knowledge communities, individuality computation, other types of FCA-based analysis of bipartite graphs (two-mode networks), multimodal clustering, community detection and description in one-mode and multi-mode networks, adaptation of the dual-projection approach to weighted bipartite graphs, extensions to the Kleinberg's HITS algorithm as well as attributed graph analysis.

Social Media Analytics for User Behavior Modeling

Author: Arun Reddy Nelakurthi

Publisher: CRC Press

Published: 2020-01-21

Total Pages: 81

ISBN-13: 1000025403

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In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated content provides an excellent scenario for applying the metaphor of mining any information. Transfer learning is a research problem in machine learning that focuses on leveraging the knowledge gained while solving one problem and applying it to a different, but related problem. Features: Offers novel frameworks to study user behavior and for addressing and explaining task heterogeneity Presents a detailed study of existing research Provides convergence and complexity analysis of the frameworks Includes algorithms to implement the proposed research work Covers extensive empirical analysis Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective is a guide to user behavior modeling in heterogeneous settings and is of great use to the machine learning community.

Book Synopsis Social Media Analytics for User Behavior Modeling by : Arun Reddy Nelakurthi

Download or read book Social Media Analytics for User Behavior Modeling written by Arun Reddy Nelakurthi and published by CRC Press. This book was released on 2020-01-21 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated content provides an excellent scenario for applying the metaphor of mining any information. Transfer learning is a research problem in machine learning that focuses on leveraging the knowledge gained while solving one problem and applying it to a different, but related problem. Features: Offers novel frameworks to study user behavior and for addressing and explaining task heterogeneity Presents a detailed study of existing research Provides convergence and complexity analysis of the frameworks Includes algorithms to implement the proposed research work Covers extensive empirical analysis Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective is a guide to user behavior modeling in heterogeneous settings and is of great use to the machine learning community.

Advanced Data Mining and Applications

Author: Jie Tang

Publisher: Springer

Published: 2011-12-15

Total Pages: 434

ISBN-13: 3642258565

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The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011. The 35 revised full papers and 29 short papers presented together with 3 keynote speeches were carefully reviewed and selected from 191 submissions. The papers cover a wide range of topics presenting original research findings in data mining, spanning applications, algorithms, software and systems, and applied disciplines.

Book Synopsis Advanced Data Mining and Applications by : Jie Tang

Download or read book Advanced Data Mining and Applications written by Jie Tang and published by Springer. This book was released on 2011-12-15 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011. The 35 revised full papers and 29 short papers presented together with 3 keynote speeches were carefully reviewed and selected from 191 submissions. The papers cover a wide range of topics presenting original research findings in data mining, spanning applications, algorithms, software and systems, and applied disciplines.

Data-Driven Mathematical and Statistical Models of Online Social Networks

Author: Shudong Li

Publisher: Frontiers Media SA

Published: 2022-03-07

Total Pages: 194

ISBN-13: 2889745961

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Book Synopsis Data-Driven Mathematical and Statistical Models of Online Social Networks by : Shudong Li

Download or read book Data-Driven Mathematical and Statistical Models of Online Social Networks written by Shudong Li and published by Frontiers Media SA. This book was released on 2022-03-07 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Memoirs of the Institute of Scientific and Industrial Research, Osaka University

Author: Ōsaka Daigaku. Sangyō Kagaku Kenkyūjo

Publisher:

Published: 2015

Total Pages: 258

ISBN-13:

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Book Synopsis Memoirs of the Institute of Scientific and Industrial Research, Osaka University by : Ōsaka Daigaku. Sangyō Kagaku Kenkyūjo

Download or read book Memoirs of the Institute of Scientific and Industrial Research, Osaka University written by Ōsaka Daigaku. Sangyō Kagaku Kenkyūjo and published by . This book was released on 2015 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Human-Centered Perspective of Intelligent Personalized Environments and Systems

Author: Bruce Ferwerda

Publisher: Springer Nature

Published:

Total Pages: 302

ISBN-13: 3031551095

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Book Synopsis A Human-Centered Perspective of Intelligent Personalized Environments and Systems by : Bruce Ferwerda

Download or read book A Human-Centered Perspective of Intelligent Personalized Environments and Systems written by Bruce Ferwerda and published by Springer Nature. This book was released on with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Spatio-Temporal Recommendation in Social Media

Author: Hongzhi Yin

Publisher: Springer

Published: 2016-05-19

Total Pages: 122

ISBN-13: 9811007489

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This book covers the major fundamentals of and the latest research on next-generation spatio-temporal recommendation systems in social media. It begins by describing the emerging characteristics of social media in the era of mobile internet, and explores the limitations to be found in current recommender techniques. The book subsequently presents a series of latent-class user models to simulate users’ behaviors in decision-making processes, which effectively overcome the challenges arising from temporal dynamics of users’ behaviors, user interest drift over geographical regions, data sparsity and cold start. Based on these well designed user models, the book develops effective multi-dimensional index structures such as Metric-Tree, and proposes efficient top-k retrieval algorithms to accelerate the process of online recommendation and support real-time recommendation. In addition, it offers methodologies and techniques for evaluating both the effectiveness and efficiency of spatio-temporal recommendation systems in social media. The book will appeal to a broad readership, from researchers and developers to undergraduate and graduate students.

Book Synopsis Spatio-Temporal Recommendation in Social Media by : Hongzhi Yin

Download or read book Spatio-Temporal Recommendation in Social Media written by Hongzhi Yin and published by Springer. This book was released on 2016-05-19 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the major fundamentals of and the latest research on next-generation spatio-temporal recommendation systems in social media. It begins by describing the emerging characteristics of social media in the era of mobile internet, and explores the limitations to be found in current recommender techniques. The book subsequently presents a series of latent-class user models to simulate users’ behaviors in decision-making processes, which effectively overcome the challenges arising from temporal dynamics of users’ behaviors, user interest drift over geographical regions, data sparsity and cold start. Based on these well designed user models, the book develops effective multi-dimensional index structures such as Metric-Tree, and proposes efficient top-k retrieval algorithms to accelerate the process of online recommendation and support real-time recommendation. In addition, it offers methodologies and techniques for evaluating both the effectiveness and efficiency of spatio-temporal recommendation systems in social media. The book will appeal to a broad readership, from researchers and developers to undergraduate and graduate students.