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Web Data Mining

2011-06-25 Computers
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Release : 2011-06-25
Genre : Computers
Kind : eBook
Book Rating : 605/5 ( reviews)

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Book Synopsis Web Data Mining by : Bing Liu

Download or read book Web Data Mining written by Bing Liu. This book was released on 2011-06-25. Available in PDF, EPUB and Kindle. Book excerpt: 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

2007-04-06 Computers
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Release : 2007-04-06
Genre : Computers
Kind : eBook
Book Rating : 088/5 ( reviews)

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Book Synopsis Data Mining the Web by : Zdravko Markov

Download or read book Data Mining the Web written by Zdravko Markov. This book was released on 2007-04-06. Available in PDF, EPUB and Kindle. Book excerpt: 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

2003-06-26 Business & Economics
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Release : 2003-06-26
Genre : Business & Economics
Kind : eBook
Book Rating : 514/5 ( reviews)

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Book Synopsis Web Data Mining and Applications in Business Intelligence and Counter-Terrorism by : Bhavani Thuraisingham

Download or read book Web Data Mining and Applications in Business Intelligence and Counter-Terrorism written by Bhavani Thuraisingham. This book was released on 2003-06-26. Available in PDF, EPUB and Kindle. Book excerpt: 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

2002-10-09 Computers
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Release : 2002-10-09
Genre : Computers
Kind : eBook
Book Rating : 544/5 ( reviews)

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Book Synopsis Mining the Web by : Soumen Chakrabarti

Download or read book Mining the Web written by Soumen Chakrabarti. This book was released on 2002-10-09. Available in PDF, EPUB and Kindle. Book excerpt: The definitive book on mining the Web from the preeminent authority.

Exploiting Semantic Web Knowledge Graphs in Data Mining

2019-06-28 Computers
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Release : 2019-06-28
Genre : Computers
Kind : eBook
Book Rating : 813/5 ( reviews)

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Book Synopsis Exploiting Semantic Web Knowledge Graphs in Data Mining by : P. Ristoski

Download or read book Exploiting Semantic Web Knowledge Graphs in Data Mining written by P. Ristoski. This book was released on 2019-06-28. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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