Data Mining the Web

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, ...

Data Mining the Web

Author: Zdravko Markov

Publisher: John Wiley & Sons

ISBN: 0470108088

Page: 319

View: 609

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).

Mining the Web

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

Mining the Web

Author: Soumen Chakrabarti

Publisher: Morgan Kaufmann

ISBN: 9781558607545

Page: 345

View: 474

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

Mining the Web

Coauthored by two bestselling data mining authors, Mining the Web explains, for corporate decision makers, IT managers, and database marketers, how data mining principles and techniques can be applied to various types of Web sites.

Mining the Web

Author: Gordon S. Linoff

Publisher: John Wiley & Sons

ISBN:

Page: 348

View: 108

Introduces business and technical managers to the exciting new frontier in database technology Web sites gather a lot of detailed information about customers. Unfortunately, most companies lack the means to use that information to improve their marketing and customer support functions. Considered by most experts to be the new frontier in the database and data warehousing fields, Web mining solves that problem. Coauthored by two bestselling data mining authors, Mining the Web explains, for corporate decision makers, IT managers, and database marketers, how data mining principles and techniques can be applied to various types of Web sites. More importantly, they describe techniques for using the resulting goldmine of business data to develop more effective advertising campaigns and better customer service.

Web Data Mining

purely an application of traditional data mining due to the heterogeneity and semi
-structured or unstructured nature of the Web data. Many new mining tasks and
algorithms were invented in the past decade. Based on the primary kinds of data
 ...

Web Data Mining

Author: Bing Liu

Publisher: Springer Science & Business Media

ISBN: 3540378820

Page: 532

View: 121

This book provides a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered. The book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing 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. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Internet support with lecture slides and project problems is available online.

Mining the Social Web

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 ...

Mining the Social Web

Author: Matthew A. Russell

Publisher: O'Reilly Media

ISBN: 1491973528

Page: 432

View: 616

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

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 ...

Dark Web

Author: Hsinchun Chen

Publisher: Springer Science & Business Media

ISBN: 1461415578

Page: 454

View: 371

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.

Advances in Web Mining and Web Usage Analysis

This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Mining Web Data, WEBKDD 2005, held in Chicago, IL, USA in August 2005 in conjunction with the 11th ACM SIGKDD International Conference on ...

Advances in Web Mining and Web Usage Analysis

Author: Olfa Nasraoui

Publisher: Springer

ISBN: 3540463488

Page: 182

View: 146

This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Mining Web Data, WEBKDD 2005, held in Chicago, IL, USA in August 2005 in conjunction with the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2005. The nine revised full papers presented together with a detailed preface went through two rounds of reviewing and improvement and were carefully selected for inclusion in the book.

WEBKDD 2002 Mining Web Data for Discovering Usage Patterns and Profiles

This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Mining Web Data, WEBKDD 2002, held in Edmonton, Canada, in July 2002.

WEBKDD 2002   Mining Web Data for Discovering Usage Patterns and Profiles

Author: Osmar Za?ane

Publisher: Springer Science & Business Media

ISBN: 3540203044

Page: 179

View: 478

This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Mining Web Data, WEBKDD 2002, held in Edmonton, Canada, in July 2002. The 10 revised full papers presented together with a detailed preface went through two rounds of reviewing and improvement and were selected from 23 submissions. The papers are organized in topical sections on categorization of users and usage, prediction and recommendation, and evaluation of algorithms.

Web Data Mining and Applications in Business Intelligence and Counter Terrorism

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.

Web Data Mining and Applications in Business Intelligence and Counter Terrorism

Author: Bhavani Thuraisingham

Publisher: CRC Press

ISBN: 9780203499511

Page: 544

View: 210

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

Web Mining and Social Networking

This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems ...

Web Mining and Social Networking

Author: Guandong Xu

Publisher: Springer Science & Business Media

ISBN: 9781441977359

Page: 210

View: 103

This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web mining, and the issue of how to incorporate web mining into web personalization and recommendation systems are also reviewed. Additionally, the volume explores web community mining and analysis to find the structural, organizational and temporal developments of web communities and reveal the societal sense of individuals or communities. The volume will benefit both academic and industry communities interested in the techniques and applications of web search, web data management, web mining and web knowledge discovery, as well as web community and social network analysis.

Web Mining

Web Mining uses document content, hyperlink structure, and usage statistics to assist users in meeting their needed information. This book provides a record of current research and practical applications in Web searching.

Web Mining

Author: Anthony Scime

Publisher: IGI Global

ISBN: 9781591404149

Page: 427

View: 247

Web Mining is moving the World Wide Web toward a more useful environment in which users can quickly and easily find the information they need. Web Mining uses document content, hyperlink structure, and usage statistics to assist users in meeting their needed information. This book provides a record of current research and practical applications in Web searching. It includes techniques that will improve the utilization of the Web by the design of Web sites, as well as the design and application of search agents. This book presents research and related applications in a manner that encourages additional work toward improving the reduction of information overflow, which is so common today in Web search results.

Data Mining Techniques

This Book Addresses All The Major And Latest Techniques Of Data Mining And Data Warehousing.

Data Mining Techniques

Author: Arun K. Pujari

Publisher: Universities Press

ISBN: 9788173713804

Page: 288

View: 402

This Book Addresses All The Major And Latest Techniques Of Data Mining And Data Warehousing. It Deals With The Latest Algorithms For Discussing Association Rules, Decision Trees, Clustering, Neural Networks And Genetic Algorithms. The Book Also Discusses The Mining Of Web Data, Temporal And Text Data. It Can Serve As A Textbook For Students Of Compuer Science, Mathematical Science And Management Science, And Also Be An Excellent Handbook For Researchers In The Area Of Data Mining And Warehousing.

Data Mining Techniques

Packed with more than forty percent new and updated material,this edition shows business managers, marketing analysts, and datamining specialists how to harness fundamental data mining methodsand techniques to solve common types of business ...

Data Mining Techniques

Author: Michael J. A. Berry

Publisher: John Wiley & Sons

ISBN: 0764569074

Page: 660

View: 536

Packed with more than forty percent new and updated material,this edition shows business managers, marketing analysts, and datamining specialists how to harness fundamental data mining methodsand techniques to solve common types of business problems Each chapter covers a new data mining technique, and then showsreaders how to apply the technique for improved marketing, sales,and customer support The authors build on their reputation for concise, clear, andpractical explanations of complex concepts, making this book theperfect introduction to data mining More advanced chapters cover such topics as how to prepare datafor analysis and how to create the necessary infrastructure fordata mining Covers core data mining techniques, including decision trees,neural networks, collaborative filtering, association rules, linkanalysis, clustering, and survival analysis

Data Mining in E learning

As one of the first of its kind, this book presents an introduction to e-learning systems, data mining concepts and the interaction between both areas.

Data Mining in E learning

Author: Cristobal Romero

Publisher: WIT Press

ISBN: 1845641523

Page: 300

View: 414

The development of e-learning systems, particularly, web-based education systems, has increased exponentially in recent years. Following this line, one of the most promising areas is the application of knowledge extraction. As one of the first of its kind, this book presents an introduction to e-learning systems, data mining concepts and the interaction between both areas.

WEBKDD 2001 Mining Web Log Data Across All Customers Touch Points

This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Mining Web Data, WEBKDD 2001 held in San Francisco, CA, USA in August 2001.

WEBKDD 2001   Mining Web Log Data Across All Customers Touch Points

Author: Ron Kohavi

Publisher: Springer Science & Business Media

ISBN: 3540439692

Page: 166

View: 220

This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Mining Web Data, WEBKDD 2001 held in San Francisco, CA, USA in August 2001. The seven revised full papers went through two rounds of reviewing an improvement. The book addresses key issues in mining Web log data for e-commerce. The papers are devoted to predicting user access, recommender systems and access modeling, and acquiring and modeling data and patterns.

Soft Computing for Data Mining Applications

Web mining is applying data mining techniques to automatically discover and
extract useful information from www documents and services. Data mining holds
the key to uncover the authoritative links, traversal patterns and semantic
structures ...

Soft Computing for Data Mining Applications

Author: K. R. Venugopal

Publisher: Springer Science & Business Media

ISBN: 3642001920

Page: 341

View: 707

The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the ?elds of Data Mining in combination with Soft Computing methodologies. In these days, the data continues to grow - ponentially. Much of the data is implicitly or explicitly imprecise. Database discovery seeks to discover noteworthy, unrecognized associations between the data items in the existing database. The potential of discovery comes from the realization that alternate contexts may reveal additional valuable information. The rate at which the data is storedis growing at a phenomenal rate. Asaresult,traditionaladhocmixturesofstatisticaltechniquesanddata managementtools are no longer adequate for analyzing this vast collection of data. Severaldomainswherelargevolumesofdataarestoredincentralizedor distributeddatabasesincludesapplicationslikeinelectroniccommerce,bio- formatics, computer security, Web intelligence, intelligent learning database systems,?nance,marketing,healthcare,telecommunications,andother?elds. E?cient tools and algorithms for knowledge discovery in large data sets have been devised during the recent years. These methods exploit the ca- bility of computers to search huge amounts of data in a fast and e?ective manner. However,the data to be analyzed is imprecise and a?icted with - certainty. In the case of heterogeneous data sources such as text and video, the data might moreover be ambiguous and partly con?icting. Besides, p- terns and relationships of interest are usually approximate. Thus, in order to make the information mining process more robust it requires tolerance toward imprecision, uncertainty and exceptions.

Web Crawling and Data Mining with Apache Nutch

You will learn to deploy Apache Solr on server containing data crawled by Apache Nutch and perform Sharding with Apache Nutch using Apache Solr.You will integrate your application with databases such as MySQL, Hbase, and Accumulo, and also ...

Web Crawling and Data Mining with Apache Nutch

Author: Zakir Laliwala

Publisher: Packt Pub Limited

ISBN: 9781783286850

Page: 136

View: 453

Apache Nutch helps you to create your own search engine and customize it according to your needs. You can integrate Apache Nutch very easily with your existing application and get the maximum benefit from it. It can be easily integrated with different components like Apache Hadoop, Eclipse, and MySQL. 'Web Crawling and Data Mining with Apache Nutch' shows you all the necessary steps to help you in crawling webpages for your application and using them to make your application searching more efficient. You will create your own search engine and will be able to improve your application page rank in searching.

Introduction to Data Mining and Its Applications

Overall, the current Web log analysis tools are still limited in their performance,
the comprehensiveness and depth of their analyses, and the validity and
reliability of their results. The recent progress and development of data mining
and data ...

Introduction to Data Mining and Its Applications

Author: S. Sumathi

Publisher: Springer Science & Business Media

ISBN: 3540343504

Page: 828

View: 709

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining.