Network Data Mining And Analysis

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Data Mining for Social Network Data

Nasrullah Memon,Jennifer Jie Xu,David L. Hicks,Hsinchun Chen
Data Mining for Social Network Data Book PDF

Author : Nasrullah Memon,Jennifer Jie Xu,David L. Hicks,Hsinchun Chen
Publisher : Springer Science & Business Media
Page : 217 pages
File Size : 40,6 Mb
Release : 2010-06-10
Category : Business & Economics
ISBN : 9781441962874

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Data Mining for Social Network Data by Nasrullah Memon,Jennifer Jie Xu,David L. Hicks,Hsinchun Chen Pdf

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science. This proposed Special Issue on Data Mining for Social Network Data will present a broad range of recent studies in social networking analysis. It will focus on emerging trends and needs in discovery and analysis of communities, solitary and social activities, activities in open for a and commercial sites as well. It will also look at network modeling, infrastructure construction, dynamic growth and evolution pattern discovery using machine learning approaches and multi-agent based simulations. Editors are three rising stars in world of data mining, knowledge discovery, social network analysis, and information infrastructures, and are anchored by Springer author/editor Hsinchun Chen (Terrorism Informatics; Medical Informatics; Digital Government), who is one of the most prominent intelligence analysis and data mining experts in the world.

Data Mining and Analysis

Mohammed J. Zaki,Wagner Meira
Data Mining and Analysis Book PDF

Author : Mohammed J. Zaki,Wagner Meira
Publisher : Cambridge University Press
Page : 607 pages
File Size : 45,8 Mb
Release : 2014-05-12
Category : Computers
ISBN : 9780521766333

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Data Mining and Analysis by Mohammed J. Zaki,Wagner Meira Pdf

A comprehensive overview of data mining from an algorithmic perspective, integrating related concepts from machine learning and statistics.

Network Data Mining And Analysis

Gao Ming,Lim Ee-peng,Lo David
Network Data Mining And Analysis Book PDF

Author : Gao Ming,Lim Ee-peng,Lo David
Publisher : World Scientific
Page : 204 pages
File Size : 44,8 Mb
Release : 2018-09-27
Category : Computers
ISBN : 9789813274976

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Network Data Mining And Analysis by Gao Ming,Lim Ee-peng,Lo David Pdf

Online social networking sites like Facebook, LinkedIn, and Twitter, offer millions of members the opportunity to befriend one another, send messages to each other, and post content on the site — actions which generate mind-boggling amounts of data every day.To make sense of the massive data from these sites, we resort to social media mining to answer questions like the following:Social media shatters the boundaries between the real world and the virtual world. We can now integrate social theories with computational methods to study how individuals interact with each other and how social communities form in bipartite and signed networks. The uniqueness of social media data calls for novel data mining techniques that can effectively handle user generated content with rich social relations. The study and development of these new techniques are under the purview of social media mining, an emerging discipline under the umbrella of data mining. Social Media Mining is the process of representing, analyzing, and extracting actionable patterns from social media data.

Social Media Data Mining and Analytics

Gabor Szabo,Gungor Polatkan,P. Oscar Boykin,Antonios Chalkiopoulos
Social Media Data Mining and Analytics Book PDF

Author : Gabor Szabo,Gungor Polatkan,P. Oscar Boykin,Antonios Chalkiopoulos
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 55,7 Mb
Release : 2018-10-23
Category : Computers
ISBN : 9781118824856

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Social Media Data Mining and Analytics by Gabor Szabo,Gungor Polatkan,P. Oscar Boykin,Antonios Chalkiopoulos Pdf

Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Social Media Data Mining and Analytics shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses. Social Media Data Mining and Analytics isn't just another book on the business case for social media. Rather, this book provides hands-on examples for applying state-of-the-art tools and technologies to mine social media - examples include Twitter, Wikipedia, Stack Exchange, LiveJournal, movie reviews, and other rich data sources. In it, you will learn: The four key characteristics of online services-users, social networks, actions, and content The full data discovery lifecycle-data extraction, storage, analysis, and visualization How to work with code and extract data to create solutions How to use Big Data to make accurate customer predictions How to personalize the social media experience using machine learning Using the techniques the authors detail will provide organizations the competitive advantage they need to harness the rich data available from social media platforms.

Social Network Data Analytics

Charu C. Aggarwal
Social Network Data Analytics Book PDF

Author : Charu C. Aggarwal
Publisher : Springer Science & Business Media
Page : 508 pages
File Size : 49,7 Mb
Release : 2011-03-18
Category : Computers
ISBN : 9781441984623

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Social Network Data Analytics by Charu C. Aggarwal Pdf

Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.

Social Networking

Mrutyunjaya Panda,Satchidananda Dehuri,Gi-Nam Wang
Social Networking Book PDF

Author : Mrutyunjaya Panda,Satchidananda Dehuri,Gi-Nam Wang
Publisher : Springer
Page : 297 pages
File Size : 52,7 Mb
Release : 2014-07-08
Category : Technology & Engineering
ISBN : 9783319051642

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Social Networking by Mrutyunjaya Panda,Satchidananda Dehuri,Gi-Nam Wang Pdf

With the proliferation of social media and on-line communities in networked world a large gamut of data has been collected and stored in databases. The rate at which such data is stored is growing at a phenomenal rate and pushing the classical methods of data analysis to their limits. This book presents an integrated framework of recent empirical and theoretical research on social network analysis based on a wide range of techniques from various disciplines like data mining, social sciences, mathematics, statistics, physics, network science, machine learning with visualization techniques and security. The book illustrates the potential of multi-disciplinary techniques in various real life problems and intends to motivate researchers in social network analysis to design more effective tools by integrating swarm intelligence and data mining.

Mining of Massive Datasets

Jure Leskovec,Jurij Leskovec,Anand Rajaraman,Jeffrey David Ullman
Mining of Massive Datasets Book PDF

Author : Jure Leskovec,Jurij Leskovec,Anand Rajaraman,Jeffrey David Ullman
Publisher : Cambridge University Press
Page : 480 pages
File Size : 40,7 Mb
Release : 2014-11-13
Category : Computers
ISBN : 9781107077232

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Mining of Massive Datasets by Jure Leskovec,Jurij Leskovec,Anand Rajaraman,Jeffrey David Ullman Pdf

Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.

From Social Data Mining and Analysis to Prediction and Community Detection

Mehmet Kaya,Özcan Erdoǧan,Jon Rokne
From Social Data Mining and Analysis to Prediction and Community Detection Book PDF

Author : Mehmet Kaya,Özcan Erdoǧan,Jon Rokne
Publisher : Springer
Page : 245 pages
File Size : 50,6 Mb
Release : 2017-03-21
Category : Computers
ISBN : 9783319513676

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From Social Data Mining and Analysis to Prediction and Community Detection by Mehmet Kaya,Özcan Erdoǧan,Jon Rokne Pdf

This book presents the state-of-the-art in various aspects of analysis and mining of online social networks. Within the broader context of online social networks, it focuses on important and upcoming topics of social network analysis and mining such as the latest in sentiment trends research and a variety of techniques for community detection and analysis. The book collects chapters that are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2015), which was held in Paris, France in August 2015. All papers have been peer reviewed and checked carefully for overlap with the literature. The book will appeal to students and researchers in social network analysis/mining and machine learning.

Algorithms and Models for Network Data and Link Analysis

François Fouss,Marco Saerens,Masashi Shimbo
Algorithms and Models for Network Data and Link Analysis Book PDF

Author : François Fouss,Marco Saerens,Masashi Shimbo
Publisher : Cambridge University Press
Page : 549 pages
File Size : 51,6 Mb
Release : 2016-07-12
Category : Computers
ISBN : 9781107125773

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Algorithms and Models for Network Data and Link Analysis by François Fouss,Marco Saerens,Masashi Shimbo Pdf

A hands-on, entry-level guide to algorithms for extracting information about social and economic behavior from network data.

Heterogeneous Information Network Analysis and Applications

Chuan Shi,Philip S. Yu
Heterogeneous Information Network Analysis and Applications Book PDF

Author : Chuan Shi,Philip S. Yu
Publisher : Springer
Page : 227 pages
File Size : 44,6 Mb
Release : 2017-05-25
Category : Computers
ISBN : 9783319562124

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Heterogeneous Information Network Analysis and Applications by Chuan Shi,Philip S. Yu Pdf

This book offers researchers an understanding of the fundamental issues and a good starting point to work on this rapidly expanding field. It provides a comprehensive survey of current developments of heterogeneous information network. It also presents the newest research in applications of heterogeneous information networks to similarity search, ranking, clustering, recommendation. This information will help researchers to understand how to analyze networked data with heterogeneous information networks. Common data mining tasks are explored, including similarity search, ranking, and recommendation. The book illustrates some prototypes which analyze networked data. Professionals and academics working in data analytics, networks, machine learning, and data mining will find this content valuable. It is also suitable for advanced-level students in computer science who are interested in networking or pattern recognition.

State of the Art Applications of Social Network Analysis

Fazli Can,Tansel Özyer,Faruk Polat
State of the Art Applications of Social Network Analysis Book PDF

Author : Fazli Can,Tansel Özyer,Faruk Polat
Publisher : Springer
Page : 375 pages
File Size : 44,6 Mb
Release : 2014-05-14
Category : Computers
ISBN : 9783319059129

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State of the Art Applications of Social Network Analysis by Fazli Can,Tansel Özyer,Faruk Polat Pdf

Social network analysis increasingly bridges the discovery of patterns in diverse areas of study as more data becomes available and complex. Yet the construction of huge networks from large data often requires entirely different approaches for analysis including; graph theory, statistics, machine learning and data mining. This work covers frontier studies on social network analysis and mining from different perspectives such as social network sites, financial data, e-mails, forums, academic research funds, XML technology, blog content, community detection and clique finding, prediction of user’s- behavior, privacy in social network analysis, mobility from spatio-temporal point of view, agent technology and political parties in parliament. These topics will be of interest to researchers and practitioners from different disciplines including, but not limited to, social sciences and engineering.

Mining and Analyzing Social Networks

I-Hsien Ting,Hui-Ju Wu,Tien-Hwa Ho
Mining and Analyzing Social Networks Book PDF

Author : I-Hsien Ting,Hui-Ju Wu,Tien-Hwa Ho
Publisher : Springer Science & Business Media
Page : 187 pages
File Size : 43,9 Mb
Release : 2010-05-29
Category : Computers
ISBN : 9783642134210

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Mining and Analyzing Social Networks by I-Hsien Ting,Hui-Ju Wu,Tien-Hwa Ho Pdf

Mining social networks has now becoming a very popular research area not only for data mining and web mining but also social network analysis. Data mining is a technique that has the ability to process and analyze large amount of data and by this to discover valuable information from the data. In recent year, due to the growth of social communications and social networking websites, data mining becomes a very important and powerful technique to process and analyze such large amount of data. Thus, this book will focus upon Mining and Analyzing social network. Some chapters in this book are extended from the papers that presented in MSNDS2009 (the First International Workshop on Mining Social Networks for Decision Support) and SNMABA2009 ((The International Workshop on Social Networks Mining and Analysis for Business Applications)). In addition, we also sent invitations to researchers that are famous in this research area to contribute for this book. The chapters of this book are introduced as follows: In chapter 1-Graph Model for Pattern Recognition in Text, Qin Wu et al. present a novel approach that uses a weighted directed multigraph for text pattern recognition. In the proposed methodology, a weighted directed multigraph model has been set up by using the distances between the keywords as the weights of arcs as well a keyword-frequency distance based algorithm has also been introduced. Case studies are also included in this chapter to show the performance is better than traditional means.

Network Algorithms, Data Mining, and Applications

Ilya Bychkov,Valery A. Kalyagin,Panos M. Pardalos,Oleg Prokopyev
Network Algorithms Data Mining and Applications Book PDF

Author : Ilya Bychkov,Valery A. Kalyagin,Panos M. Pardalos,Oleg Prokopyev
Publisher : Springer Nature
Page : 251 pages
File Size : 46,8 Mb
Release : 2020-02-22
Category : Mathematics
ISBN : 9783030371579

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Network Algorithms, Data Mining, and Applications by Ilya Bychkov,Valery A. Kalyagin,Panos M. Pardalos,Oleg Prokopyev Pdf

This proceedings presents the result of the 8th International Conference in Network Analysis, held at the Higher School of Economics, Moscow, in May 2018. The conference brought together scientists, engineers, and researchers from academia, industry, and government. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics, economics, statistics, computer science, and engineering find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks. Machine learning techniques in network settings including community detection, clustering, and biclustering algorithms are presented with applications to social network analysis.

Data Mining and Machine Learning

Mohammed J. Zaki,Wagner Meira, Jr
Data Mining and Machine Learning Book PDF

Author : Mohammed J. Zaki,Wagner Meira, Jr
Publisher : Cambridge University Press
Page : 779 pages
File Size : 50,5 Mb
Release : 2020-01-30
Category : Business & Economics
ISBN : 9781108473989

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Data Mining and Machine Learning by Mohammed J. Zaki,Wagner Meira, Jr Pdf

New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media

Brij Gupta,Ahmed A. Abd El-Latif,Dragan Perakovic
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media Book PDF

Author : Brij Gupta,Ahmed A. Abd El-Latif,Dragan Perakovic
Publisher : Unknown
Page : 336 pages
File Size : 46,9 Mb
Release : 2021
Category : Big data
ISBN : 1799884147

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Data Mining Approaches for Big Data and Sentiment Analysis in Social Media by Brij Gupta,Ahmed A. Abd El-Latif,Dragan Perakovic Pdf

"This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches for big data and sentiment analysis in online social media and covering many important security and other aspects and current trends"--