Web Data Mining

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Web Data Mining

Bing Liu
Web Data Mining Book PDF

Author : Bing Liu
Publisher : Springer Science & Business Media
Page : 637 pages
File Size : 51,7 Mb
Release : 2011-06-25
Category : Computers
ISBN : 9783642194603

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Web Data Mining by Bing Liu Pdf

Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.

Data Mining the Web

Zdravko Markov,Daniel T. Larose
Data Mining the Web Book PDF

Author : Zdravko Markov,Daniel T. Larose
Publisher : John Wiley & Sons
Page : 236 pages
File Size : 51,8 Mb
Release : 2007-04-06
Category : Computers
ISBN : 9780470108086

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Data Mining the Web by Zdravko Markov,Daniel T. Larose Pdf

This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance).

Web Data Mining and Applications in Business Intelligence and Counter-Terrorism

Bhavani Thuraisingham
Web Data Mining and Applications in Business Intelligence and Counter Terrorism Book PDF

Author : Bhavani Thuraisingham
Publisher : CRC Press
Page : 542 pages
File Size : 42,9 Mb
Release : 2003-06-26
Category : Business & Economics
ISBN : 9780203499511

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Web Data Mining and Applications in Business Intelligence and Counter-Terrorism by Bhavani Thuraisingham Pdf

The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obta

Mining the Web

Soumen Chakrabarti
Mining the Web Book PDF

Author : Soumen Chakrabarti
Publisher : Morgan Kaufmann
Page : 366 pages
File Size : 53,5 Mb
Release : 2002-10-09
Category : Computers
ISBN : 9781558607545

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Mining the Web by Soumen Chakrabarti Pdf

The definitive book on mining the Web from the preeminent authority.

Mining the World Wide Web

George Chang,Marcus Healey,James A. M. McHugh,T.L. Wang
Mining the World Wide Web Book PDF

Author : George Chang,Marcus Healey,James A. M. McHugh,T.L. Wang
Publisher : Springer Science & Business Media
Page : 180 pages
File Size : 43,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461516392

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Mining the World Wide Web by George Chang,Marcus Healey,James A. M. McHugh,T.L. Wang Pdf

Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer science research. Web mining is a multidisciplinary field, drawing on such areas as artificial intelligence, databases, data mining, data warehousing, data visualization, information retrieval, machine learning, markup languages, pattern recognition, statistics, and Web technology. Mining the World Wide Web presents the Web mining material from an information search perspective, focusing on issues relating to the efficiency, feasibility, scalability and usability of searching techniques for Web mining. Mining the World Wide Web is designed for researchers and developers of Web information systems and also serves as an excellent supplemental reference to advanced level courses in data mining, databases and information retrieval.

Exploiting Semantic Web Knowledge Graphs in Data Mining

P. Ristoski
Exploiting Semantic Web Knowledge Graphs in Data Mining Book PDF

Author : P. Ristoski
Publisher : IOS Press
Page : 246 pages
File Size : 47,7 Mb
Release : 2019-06-28
Category : Computers
ISBN : 9781614999812

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Exploiting Semantic Web Knowledge Graphs in Data Mining by P. Ristoski Pdf

Data Mining and Knowledge Discovery in Databases (KDD) is a research field concerned with deriving higher-level insights from data. The tasks performed in this field are knowledge intensive and can benefit from additional knowledge from various sources, so many approaches have been proposed that combine Semantic Web data with the data mining and knowledge discovery process. This book, Exploiting Semantic Web Knowledge Graphs in Data Mining, aims to show that Semantic Web knowledge graphs are useful for generating valuable data mining features that can be used in various data mining tasks. In Part I, Mining Semantic Web Knowledge Graphs, the author evaluates unsupervised feature generation strategies from types and relations in knowledge graphs used in different data mining tasks such as classification, regression, and outlier detection. Part II, Semantic Web Knowledge Graphs Embeddings, proposes an approach that circumvents the shortcomings introduced with the approaches in Part I, developing an approach that is able to embed complete Semantic Web knowledge graphs in a low dimensional feature space where each entity and relation in the knowledge graph is represented as a numerical vector. Finally, Part III, Applications of Semantic Web Knowledge Graphs, describes a list of applications that exploit Semantic Web knowledge graphs like classification and regression, showing that the approaches developed in Part I and Part II can be used in applications in various domains. The book will be of interest to all those working in the field of data mining and KDD.

Web Data Mining

Bing Liu
Web Data Mining Book PDF

Author : Bing Liu
Publisher : Springer
Page : 624 pages
File Size : 44,5 Mb
Release : 2013-08-03
Category : Computers
ISBN : 3642268919

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Web Data Mining by Bing Liu Pdf

Web mining aims to discover useful information and knowledge from Web hyperlinks, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semi-structured and unstructured nature of the Web data. The field has also developed many of its own algorithms and techniques. Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.

Advances in Network Security and Applications

David C. Wyld,Michal Wozniak,Nabendu Chaki,Natarajan Meghanathan,Dhinaharan Nagamalai
Advances in Network Security and Applications Book PDF

Author : David C. Wyld,Michal Wozniak,Nabendu Chaki,Natarajan Meghanathan,Dhinaharan Nagamalai
Publisher : Springer Science & Business Media
Page : 677 pages
File Size : 47,6 Mb
Release : 2011-06-30
Category : Computers
ISBN : 9783642225390

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Advances in Network Security and Applications by David C. Wyld,Michal Wozniak,Nabendu Chaki,Natarajan Meghanathan,Dhinaharan Nagamalai Pdf

This book constitutes the proceedings of the 4th International Conference on Network Security and Applications held in Chennai, India, in July 2011. The 63 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers address all technical and practical aspects of security and its applications for wired and wireless networks and are organized in topical sections on network security and applications, ad hoc, sensor and ubiquitous computing, as well as peer-to-peer networks and trust management.

Mining the Social Web

Matthew A. Russell,Mikhail Klassen
Mining the Social Web Book PDF

Author : Matthew A. Russell,Mikhail Klassen
Publisher : O'Reilly Media
Page : 425 pages
File Size : 42,9 Mb
Release : 2018-12-04
Category : Computers
ISBN : 9781491973523

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Mining the Social Web by Matthew A. Russell,Mikhail Klassen Pdf

Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re talking about, and where they’re located—using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. Get a straightforward synopsis of the social web landscape Use Docker to easily run each chapter’s example code, packaged as a Jupyter notebook Adapt and contribute to the code’s open source GitHub repository Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits

Dark Web

Hsinchun Chen
Dark Web Book PDF

Author : Hsinchun Chen
Publisher : Springer Science & Business Media
Page : 460 pages
File Size : 51,7 Mb
Release : 2011-12-16
Category : Computers
ISBN : 9781461415565

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Dark Web by Hsinchun Chen Pdf

The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect "ALL" web content generated by international terrorist groups, including web sites, forums, chat rooms, blogs, social networking sites, videos, virtual world, etc. We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research. The approaches and methods developed in this project contribute to advancing the field of Intelligence and Security Informatics (ISI). Such advances will help related stakeholders to perform terrorism research and facilitate international security and peace. This monograph aims to provide an overview of the Dark Web landscape, suggest a systematic, computational approach to understanding the problems, and illustrate with selected techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team members. This work aims to provide an interdisciplinary and understandable monograph about Dark Web research along three dimensions: methodological issues in Dark Web research; database and computational techniques to support information collection and data mining; and legal, social, privacy, and data confidentiality challenges and approaches. It will bring useful knowledge to scientists, security professionals, counterterrorism experts, and policy makers. The monograph can also serve as a reference material or textbook in graduate level courses related to information security, information policy, information assurance, information systems, terrorism, and public policy.

Mining the Social Web

Matthew Russell
Mining the Social Web Book PDF

Author : Matthew Russell
Publisher : "O'Reilly Media, Inc."
Page : 356 pages
File Size : 49,6 Mb
Release : 2011-01-21
Category : Computers
ISBN : 9781449388348

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Mining the Social Web by Matthew Russell Pdf

Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. Get a straightforward synopsis of the social web landscape Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn Learn how to employ easy-to-use Python tools to slice and dice the data you collect Explore social connections in microformats with the XHTML Friends Network Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits "Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera "A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google

Data Mining Your Website

Jesus Mena
Data Mining Your Website Book PDF

Author : Jesus Mena
Publisher : Digital Press
Page : 388 pages
File Size : 49,9 Mb
Release : 1999-07-15
Category : Business & Economics
ISBN : 1555582222

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Data Mining Your Website by Jesus Mena Pdf

Turn Web data into knowledge about your customers. This exciting book will help companies create, capture, enhance, and analyze one of their most valuable new sources of marketing information-usage and transactional data from a website. A company's website is a primary point of contact with its customers and a medium in which visitor's actions are messages about who they are and what they want. Data Mining Your Website will teach you the tools, techniques, and technologies you'll need to profile current and potential customers and predict on-line interests and behavior. You'll learn how to extract from the huge pools of information your website generates, insights into on-line buying patterns, and how to apply this knowledge to design a website that better attracts, engages, and retains on-line customers. Data Mining Your Website explains how data mining is a foundation for the new field of web-based, interactive retailing, marketing, and advertising. This innovative book will help web developers and marketers, webmasters, and data management professionals harness powerful new tools and processes. The first book to apply data mining specifically to e-commerce Learn effective methods for gathering, managing, and mining Web customer information Use data mining to profile customers and create personalized e-commerce programs

Web Mining

V.S. Kumbhar,K. S. Oza,R.K. Kamat
Web Mining Book PDF

Author : V.S. Kumbhar,K. S. Oza,R.K. Kamat
Publisher : CRC Press
Page : 142 pages
File Size : 52,6 Mb
Release : 2022-09-01
Category : Science
ISBN : 9781000792676

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Web Mining by V.S. Kumbhar,K. S. Oza,R.K. Kamat Pdf

Web mining is the application of data mining strategies to excerpt learning from web information, i.e. web content, web structure, and web usage data. With the emergence of the web as the predominant and converging platform for communication, business and scholastic information dissemination, especially in the last five years, there are ever increasing research groups working on different aspects of web mining mainly in three directions. These are: mining of web content, web structure and web usage. In this context there are good number of frameworks and benchmarks related to the metrics of the websites which is certainly weighty for B2B, B2C and in general in any e-commerce paradigm. Owing to the popularity of this topic there are few books in the market, dealing more on such performance metrics and other related issues. This book, however, omits all such routine topics and lays more emphasis on the classification and clustering aspects of the websites in order to come out with the true perception of the websites in light of its usability.In nutshell, Web Mining: A Synergic Approach Resorting to Classifications and Clustering showcases an effective methodology for classification and clustering of web sites from their usability point of view. While the clustering and classification is accomplished by using an open source tool WEKA, the basic dataset for the selected websites has been emanated by using a free tool site-analyzer. As a case study, several commercial websites have been analyzed. The dataset preparation using site-analyzer and classification through WEKA by embedding different algorithms is one of the unique selling points of this book. This text projects a complete spectrum of web mining from its very inception through data mining and takes the reader up to the application level. Salient features of the book include: Literature review of research work in the area of web miningBusiness websites domain researched, and data collected using site-analyzer toolAccessibility, design, text, multimedia, and networking are assessedDatasets are filtered further by selecting vital attributes which are Search Engine Optimized for processing using the Weka attributed toolDataset with labels have been classified using J48, RBFNetwork, NaïveBayes, and SMO techniques using WekaA comparative analysis of all classifiers is reportedCommercial applications for improving website performance based on SEO is given

Web Usage Mining Techniques and Applications Across Industries

Kumar, A.V. Senthil
Web Usage Mining Techniques and Applications Across Industries Book PDF

Author : Kumar, A.V. Senthil
Publisher : IGI Global
Page : 424 pages
File Size : 52,5 Mb
Release : 2016-08-12
Category : Computers
ISBN : 9781522506140

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Web Usage Mining Techniques and Applications Across Industries by Kumar, A.V. Senthil Pdf

Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications. Because the internet has become a central component in information sharing and commerce, having the ability to analyze user behavior on the web has become a critical component to a variety of industries. Web Usage Mining Techniques and Applications Across Industries addresses the systems and methodologies that enable organizations to predict web user behavior as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students interested in learning more about the latest concepts related to web-based information retrieval and mining.

Advanced Practical Approaches to Web Mining Techniques and Application

Obaid, Ahmed J.,Polkowski, Zdzislaw,Bhushan, Bharat
Advanced Practical Approaches to Web Mining Techniques and Application Book PDF

Author : Obaid, Ahmed J.,Polkowski, Zdzislaw,Bhushan, Bharat
Publisher : IGI Global
Page : 357 pages
File Size : 47,8 Mb
Release : 2022-03-18
Category : Computers
ISBN : 9781799894285

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Advanced Practical Approaches to Web Mining Techniques and Application by Obaid, Ahmed J.,Polkowski, Zdzislaw,Bhushan, Bharat Pdf

The rapid increase of web pages has introduced new challenges for many organizations as they attempt to extract information from a massive corpus of web pages. Finding relevant information, eliminating irregular content, and retrieving accurate results has become extremely difficult in today’s world where there is a surplus of information available. It is crucial to further understand and study web mining in order to discover the best ways to connect users with appropriate information in a timely manner. Advanced Practical Approaches to Web Mining Techniques and Application aims to illustrate all the concepts of web mining and fosters transformative, multidisciplinary, and novel approaches that introduce the practical method of analyzing various web data sources and extracting knowledge by taking into consideration the unique challenges present in the environment. Covering a range of topics such as data science and security threats, this reference work is ideal for industry professionals, researchers, academicians, practitioners, scholars, instructors, and students.