Handbook Of Research On Text And Web Mining Technologies
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Author | : Song, Min |
Publisher | : IGI Global |
Total Pages | : 901 |
Release | : 2008-09-30 |
Genre | : Computers |
ISBN | : 1599049910 |
Examines recent advances and surveys of applications in text and web mining which should be of interest to researchers and end-users alike.
Author | : Bing Liu |
Publisher | : Springer Science & Business Media |
Total Pages | : 544 |
Release | : 2007-05-30 |
Genre | : Computers |
ISBN | : 3540378820 |
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.
Author | : Gabe Ignatow |
Publisher | : SAGE Publications |
Total Pages | : 189 |
Release | : 2016-04-20 |
Genre | : Social Science |
ISBN | : 1483369323 |
Online communities generate massive volumes of natural language data and the social sciences continue to learn how to best make use of this new information and the technology available for analyzing it. Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections. This accessible book, written by a sociologist and a computer scientist, surveys the fast-changing landscape of data sources, programming languages, software packages, and methods of analysis available today. Suitable for novice and experienced researchers alike, the book will help readers use text mining techniques more efficiently and productively.
Author | : Min Song |
Publisher | : |
Total Pages | : 475 |
Release | : 2009 |
Genre | : |
ISBN | : |
Author | : Ronen Feldman |
Publisher | : Cambridge University Press |
Total Pages | : 423 |
Release | : 2007 |
Genre | : Computers |
ISBN | : 0521836573 |
Author | : Charu C. Aggarwal |
Publisher | : Springer |
Total Pages | : 746 |
Release | : 2015-04-13 |
Genre | : Computers |
ISBN | : 3319141422 |
This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way. The chapters of this book fall into one of three categories: Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a wide variety of methods for these problems. Domain chapters: These chapters discuss the specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data. Application chapters: These chapters study important applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. The domain chapters also have an applied flavor. Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook balances mathematical details and intuition. It contains the necessary mathematical details for professors and researchers, but it is presented in a simple and intuitive style to improve accessibility for students and industrial practitioners (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples. Praise for Data Mining: The Textbook - “As I read through this book, I have already decided to use it in my classes. This is a book written by an outstanding researcher who has made fundamental contributions to data mining, in a way that is both accessible and up to date. The book is complete with theory and practical use cases. It’s a must-have for students and professors alike!" -- Qiang Yang, Chair of Computer Science and Engineering at Hong Kong University of Science and Technology "This is the most amazing and comprehensive text book on data mining. It covers not only the fundamental problems, such as clustering, classification, outliers and frequent patterns, and different data types, including text, time series, sequences, spatial data and graphs, but also various applications, such as recommenders, Web, social network and privacy. It is a great book for graduate students and researchers as well as practitioners." -- Philip S. Yu, UIC Distinguished Professor and Wexler Chair in Information Technology at University of Illinois at Chicago
Author | : Anthony Scime |
Publisher | : IGI Global |
Total Pages | : 454 |
Release | : 2005-01-01 |
Genre | : Computers |
ISBN | : 9781591404149 |
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.
Author | : Min Song |
Publisher | : |
Total Pages | : 444 |
Release | : 2009 |
Genre | : Data mining |
ISBN | : 9781599049908 |
Author | : George Chang |
Publisher | : Springer Science & Business Media |
Total Pages | : 192 |
Release | : 2001-07-31 |
Genre | : Computers |
ISBN | : 9780792373490 |
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.
Author | : Zhang, Qingyu |
Publisher | : IGI Global |
Total Pages | : 362 |
Release | : 2010-10-31 |
Genre | : Computers |
ISBN | : 1609601041 |
"This book is a comprehensive reference on concepts, algorithms, theories, applications, software, and visualization of data mining, text mining, Web mining and computing/supercomputing, covering state-of-the-art of the theory and applications of mining"--