The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and 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.
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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.
- SME eBooks.
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Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online. Covers all key tasks and techniques of Web search and Web mining, i.
Includes major algorithms from data mining, machine learning, information retrieval and text processing, which are crucial for many Web mining tasks. Contains a rich blend of theory and practice, addressing seminal research ideas and also looking at the technology from a practical point of view.
Exploring Hyperlinks, Contents, and Usage Data
Ideally suited for classes on data mining, Web mining, Web search, and knowledge discovery in data bases. His current research interests include opinion mining and sentiment analysis, text and Web mining, data mining, and machine learning. He has published extensively in top journals and conferences in these fields.
Several of his publications are considered seminal papers of the fields and are highly cited. Furthermore, the book enables the reader to appreciate the ramifications of airline e-commerce in certain corporate areas and to take effective action for a successful e-commerce strategy. Search all titles.
Web Data Mining
Search all titles Search all collections. Your Account Logout. Airline e-Commerce. By Michael Hanke. Linked open data remains. Peppered with data and case studies on current practice from large and small cultural heritage. Bringing together chapters written by.
It is designed for anyone with responsibility for a cultural collection and covers. Drawing on international.
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- Mobile Computing, Applications, and Services: Third International Conference, MobiCASE 2011, Los Angeles, CA, USA, October 24-27, 2011. Revised Selected Papers.
- Infromation Gathering and Research on the Net?
Likewise, the archival community has leveraged these new technologies, aiming. The internet as a platform.
Preface - Mining the Social Web, 3rd Edition [Book]
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