The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the Field Giving a broad perspective of the field from numerous vantage points, Text Mining: Classification, Clustering, and Applications focuses on statistical methods for text mining and analysis. It exami
Text Mining: Classification, Clustering, and Applications
โ Scribed by Ashok N. Srivastava, Mehran Sahami
- Publisher
- Chapman and Hall/CRC
- Year
- 2009
- Tongue
- English
- Leaves
- 308
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Statistics;Education & Reference;Business & Money;Data Mining;Databases & Big Data;Computers & Technology;Probability & Statistics;Applied;Mathematics;Science & Math;Statistics;Applied;Mathematics;Science & Math;Business & Finance;Accounting;Banking;Business Communication;Business Development;Business Ethics;Business Law;Economics;Entrepreneurship;Finance;Human Resources;International Business;Investments & Securities;Management;Marketing;Real Estate;Sales;New, Used & Rental Textbooks;Specialty
๐ SIMILAR VOLUMES
<P><U><EM>The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the Field</EM></U></P> <P>Giving a broad perspective of the field from numerous vantage points, <STRONG>Text Mining: Classification, Clustering, and Applications focuses on statistical methods for
This volume describes new methods with special emphasis on classification and cluster analysis. These methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.
I: 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 II: INFORMATION E
<p><P></P><P>As the volume of digitized textual information continues to grow, so does the critical need for designing robust and scalable indexing and search strategies/software to meet a variety of user needs. Knowledge extraction or creation from text requires systematic, yet reliable processing
<p><P></P><P>As the volume of digitized textual information continues to grow, so does the critical need for designing robust and scalable indexing and search strategies/software to meet a variety of user needs. Knowledge extraction or creation from text requires systematic, yet reliable processing