Emerging Technologies of Text Mining: Techniques and Applications
Emerging Technologies of Text Mining: Techniques and Applications

Author: do Prado, Hercules Antonio

Publisher: IGI Global

Published: 2007-10-31

Total Pages: 376

ISBN-13: 1599043750

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"This book provides the most recent technical information related to the computational models of the text mining process, discussing techniques within the realms of classification, association analysis, information extraction, and clustering. Offering an innovative approach to the utilization of textual information mining to maximize competitive advantage, it will provide libraries with the defining reference on this topic"--Provided by publisher.

Web Mining and Social Networking
Web Mining and Social Networking

Author: Guandong Xu

Publisher: Springer Science & Business Media

Published: 2010-10-20

Total Pages: 218

ISBN-13: 144197735X

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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.

Survey of Text Mining
Survey of Text Mining

Author: Michael W. Berry

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 251

ISBN-13: 147574305X

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Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory. As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowledge extraction or creation from text requires systematic yet reliable processing that can be codified and adapted for changing needs and environments. This book will draw upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. It will address document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text.

Advances in Spatio-Temporal Analysis
Advances in Spatio-Temporal Analysis

Author: Xinming Tang

Publisher: CRC Press

Published: 2007-08-23

Total Pages: 1321

ISBN-13: 1466575123

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Developments in Geographic Information Technology have raised the expectations of users. A static map is no longer enough; there is now demand for a dynamic representation. Time is of great importance when operating on real world geographical phenomena, especially when these are dynamic. Researchers in the field of Temporal Geographical Information Systems (TGIS) have been developing methods of incorporating time into geographical information systems. Spatio-temporal analysis embodies spatial modelling, spatio-temporal modelling and spatial reasoning and data mining. Advances in Spatio-Temporal Analysis contributes to the field of spatio-temporal analysis, presenting innovative ideas and examples that reflect current progress and achievements.