Mining the Digital Information Networks
Mining the Digital Information Networks

Author: N. Lavesson

Publisher: IOS Press

Published: 2013-07-10

Total Pages: 116

ISBN-13: 1614992703

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Electronic publishing is continuously changing; new technologies open new ways for individuals, scholars, communities and networks to establish contacts, exchange data, produce information and share knowledge on a variety of devices, from personal computers to mobile media. There is an urgent need to rethink electronic publishing in order to develop and use new communication paradigms and technologies, and to devise a truly digital format for the future. This book presents the conference proceedings of the ELPUB 2013 conference, held in Karlskrona, Sweden, in June 2013. The main theme of the conference is extracting and processing data from the vast wealth of digital publishing, and the ways to use and reuse this information in innovative social contexts in a sustainable way. The conference brings together researchers and practitioners to discuss data mining, digital publishing and social networks, along with their implications for scholarly communication, information services, e-learning, e-businesses, the cultural heritage sector and other areas where electronic publishing is imperative. The book is divided into three sections: full research articles, full professional articles and extended abstracts. Each section is further subdivided into Data Mining and Intelligent Computing, Publishing and Access and Social Computing and Practices. Focusing on key issues surrounding the development of methods for gathering and processing information, and on the means for making these data useful and accessible, this book will be of interest to the whole digital community.

Mining the Digital Information Networks
Mining the Digital Information Networks

Author: Niklas Lavesson

Publisher:

Published: 2013

Total Pages: 0

ISBN-13: 9781614992691

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Electronic publishing is continuously changing; new technologies open new ways for individuals, scholars, communities and networks to establish contacts, exchange data, produce information and share knowledge on a variety of devices, from personal computers to mobile media. There is an urgent need to rethink electronic publishing in order to develop and use new communication paradigms and technologies, and to devise a truly digital format for the future. This book presents the conference proceedings of the ELPUB 2013 conference, held in Karlskrona, Sweden, in June 2013. The main theme of the conference is extracting and processing data from the vast wealth of digital publishing, and the ways to use and reuse this information in innovative social contexts in a sustainable way. The conference brings together researchers and practitioners to discuss data mining, digital publishing and social networks, along with their implications for scholarly communication, information services, e-learning, e-businesses, the cultural heritage sector and other areas where electronic publishing is imperative. The book is divided into three sections: full research articles, full professional articles and extended abstracts. Each section is further subdivided into Data Mining and Intelligent Computing, Publishing and Access and Social Computing and Practices. Focusing on key issues surrounding the development of methods for gathering and processing information, and on the means for making these data useful and accessible, this book will be of interest to the whole digital community.

Social Media Mining and Social Network Analysis: Emerging Research
Social Media Mining and Social Network Analysis: Emerging Research

Author: Xu, Guandong

Publisher: IGI Global

Published: 2013-01-31

Total Pages: 272

ISBN-13: 1466628073

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Social Media Mining and Social Network Analysis: Emerging Research highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organization science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.

Applications of Data Mining in Computer Security
Applications of Data Mining in Computer Security

Author: Daniel Barbará

Publisher: Springer Science & Business Media

Published: 2002-05-31

Total Pages: 286

ISBN-13: 9781402070549

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Data mining is becoming a pervasive technology in activities as diverse as using historical data to predict the success of a marketing campaign, looking for patterns in financial transactions to discover illegal activities or analyzing genome sequences. From this perspective, it was just a matter of time for the discipline to reach the important area of computer security. Applications Of Data Mining In Computer Security presents a collection of research efforts on the use of data mining in computer security. Applications Of Data Mining In Computer Security concentrates heavily on the use of data mining in the area of intrusion detection. The reason for this is twofold. First, the volume of data dealing with both network and host activity is so large that it makes it an ideal candidate for using data mining techniques. Second, intrusion detection is an extremely critical activity. This book also addresses the application of data mining to computer forensics. This is a crucial area that seeks to address the needs of law enforcement in analyzing the digital evidence.

Data Mining for Social Network Data
Data Mining for Social Network Data

Author: Nasrullah Memon

Publisher: Springer Science & Business Media

Published: 2010-06-10

Total Pages: 217

ISBN-13: 1441962875

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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.

Mining Heterogeneous Information Networks
Mining Heterogeneous Information Networks

Author: Yizhou Sun

Publisher: Morgan & Claypool Publishers

Published: 2012

Total Pages: 162

ISBN-13: 1608458806

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Investigates the principles and methodologies of mining heterogeneous information networks. Departing from many existing network models that view interconnected data as homogeneous graphs or networks, the semi-structured heterogeneous information network model leverages the rich semantics of typed nodes and links in a network and uncovers surprisingly rich knowledge from the network.

Let’s Put Data to Use: Digital Scholarship for the Next Generation
Let’s Put Data to Use: Digital Scholarship for the Next Generation

Author: P. Polydoratou

Publisher: IOS Press

Published: 2014-06-05

Total Pages: 152

ISBN-13: 1614994099

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The ways in which research data is used and handled continue to capture public attention and are the focus of increasing interest. Electronic publishing is intrinsic to digital data management, and relevant to the fields of data mining, digital publishing and social networks, with their implications for scholarly communication, information services, e-learning, e-business and the cultural heritage sector._x000D_ This book presents the proceedings of the 18th International Conference on Electronic Publishing (ELPUB), held in Thessaloniki, Greece, in June 2014. The conference brings together researchers and practitioners to discuss the many aspects of electronic publishing, and the theme this year is 'Let's put data to use: digital scholarship for the next generation'. As well as examining the role of cultural heritage and service organisations in the creation, accessibility, duration and long-term preservation of data, it provides a discussion forum for the appraisal, citation and licensing of research data and the new developments in reviewing, publishing and editorial technology._x000D_ The book is divided into sections covering the following topics: open access and open data; knowing the users better; researchers and their needs; specialized content for researchers; publishing and access; and practical aspects of electronic publishing._x000D_ Providing an overview of all that is current in the electronic publishing world, this book will be of interest to practitioners, researchers and students in information science, as well as users of electronic publishing.

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

Author: Brij Gupta

Publisher:

Published: 2021

Total Pages: 336

ISBN-13: 9781799884132

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"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"--

Mining Social Media
Mining Social Media

Author: Lam Thuy Vo

Publisher: No Starch Press

Published: 2019-11-25

Total Pages: 210

ISBN-13: 1593279167

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BuzzFeed News Senior Reporter Lam Thuy Vo explains how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language. Did fake Twitter accounts help sway a presidential election? What can Facebook and Reddit archives tell us about human behavior? In Mining Social Media, senior BuzzFeed reporter Lam Thuy Vo shows you how to use Python and key data analysis tools to find the stories buried in social media. Whether you're a professional journalist, an academic researcher, or a citizen investigator, you'll learn how to use technical tools to collect and analyze data from social media sources to build compelling, data-driven stories. Learn how to: Write Python scripts and use APIs to gather data from the social web Download data archives and dig through them for insights Inspect HTML downloaded from websites for useful content Format, aggregate, sort, and filter your collected data using Google Sheets Create data visualizations to illustrate your discoveries Perform advanced data analysis using Python, Jupyter Notebooks, and the pandas library Apply what you've learned to research topics on your own Social media is filled with thousands of hidden stories just waiting to be told. Learn to use the data-sleuthing tools that professionals use to write your own data-driven stories.

Information Retrieval and Social Media Mining
Information Retrieval and Social Media Mining

Author: María N. Moreno García

Publisher: MDPI

Published: 2021-03-09

Total Pages: 144

ISBN-13: 3036502467

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This book presents diverse contributions related to some of the latest advances in the field of personalization and recommender systems, as well as social media and sentiment analysis. The work comprises several articles that address different problems in these areas by means of recent techniques such as deep learning, methods to analyze the structure and the dynamics of social networks, and modern language processing approaches for sentiment analysis, among others. The proposals included in the book are representative of some highly topical research directions and cover different application domains where they have been validated. These go from the recommendation of hotels, movies, music, documents, or pharmacy cross-selling to sentiment analysis in the field of telemedicine and opinion mining on news, also including the study of social capital on social media and dynamics aspects of the Twitter social network.