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Add to basketGebunden. Condition: New. 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. This survey volume draws upon experts in both academia and industry to re.
Published by Springer, Berlin, Springer New York, Springer, 2003
ISBN 10: 0387955631 ISBN 13: 9780387955636
Language: English
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Add to basketBuch. Condition: Neu. Neuware - 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.
Published by Springer-Verlag New York Inc., 2003
ISBN 10: 0387955631 ISBN 13: 9780387955636
Language: English
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 583.