Text mining : applications and theory / Michael W. Berry, Jacob Kogan.

Format:

Book

Author/Creator:

Berry, Michael W.

Contributor:

Kogan, Jacob, 1954-

Language:

English

Subjects (All):

Data mining--Congresses.

Data mining.

Natural language processing (Computer science)--Congresses.

Natural language processing (Computer science).

Physical Description:

1 online resource (223 p.)

Edition:

2nd ed.

Place of Publication:

Hoboken, NJ : John Wiley & Sons, 2010.

Language Note:

English

Summary:

Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine

Contents:

Text Mining; Contents; List of Contributors; Preface; PART I TEXT EXTRACTION, CLASSIFICATION, AND CLUSTERING; 1 Automatic keyword extraction from individual documents; 2 Algebraic techniques for multilingual document clustering; 3 Content-based spam email classification using machine-learning algorithms; 4 Utilizing nonnegative matrix factorization for email classification problems; 5 Constrained clustering with k-means type algorithms; PART II ANOMALY AND TREND DETECTION; 6 Survey of text visualization techniques; 7 Adaptive threshold setting for novelty mining; 8 Text mining and cybercrime

PART III TEXT STREAMS9 Events and trends in text streams; 10 Embedding semantics in LDA topic models; Index

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on metadata supplied by the publisher and other sources.

ISBN:

9786612551369

9781282551367

1282551361

9780470689646

0470689641

9780470689653

047068965X

OCLC:

815250653