Survey of Text Mining

Clustering, Classification, and Retrieval

By: Michael W. Berry (Editor)

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Hardcover | 8 October 2003

At a Glance

Hardcover
268 Pages

Dimensions(cm)
23.39 x 15.6 x 1.6

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$176.90

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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.

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You Can Find This Book In

Non-Fiction Computing & I.T.Databases Data Mining Mathematics Probability & Statistics Computer Science Artificial Intelligence Applied Mathematics Library & Info Sciences Automation of Library & Information Services Data Capture & Analysis

Graphical & Digital Media Applications Digital Lifestyle & Online World: Consumer & User Guides Internet Guides & Online Services

Other Editions and Formats

Paperback

Published: 10th October 2011

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Clustering & Classification
Cluster-preserving dimension reduction methods for efficient classification of text data
Automatic discovery of similar words
Simultaneous clustering and dynamic keyword weighting for text documents
Feature selection and document clustering
Information Extraction & Retrieval
Vector space models for search and cluster mining
HotMiner--Discovering hot topics from dirty text
Combining families of information retrieval algorithms using meta-learning
Trend Detection
Trend and behavior detection from Web queries
A survey of emerging trend detection in textual data mining
Index
Table of Contents provided by Publisher. All Rights Reserved.

Survey of Text Mining

Clustering, Classification, and Retrieval

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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