Book DescriptionThe growth of the web can be seen as an expanding public digital library collection Online digital information extends far beyond the web and its publicly available information Huge amounts of information are private and are of interestto local communities, such as the records of customers of a business This information is overwhelmingly оеэнб text and has its record-keeping purpose, but an automated analysis might be desirable to find patterns in the stored records Analogous to this datamining is text mining, which also finds patterns and trends in information samples but which does so with far less structured--though with greater immediate utility for users--ingredients This book focuses on the concepts and methods needed to expand horizons beyond structured, numeric data to automated mining of text samples It introduces the new world of text mining and examines proven methods for various critical text-mining tasks, such as automated document indexing and information retrieval and search New research areas are explored, such as information extraction and document summarization, that rely on evolving text-mining techniques.  Фаркоп -2004 г 236 стр ISBN 0387954333.