Publications

Cambridge University Press is pleased to announce the publication of The Text Mining Handbook, by Ronen Feldman and James Sanger, and Introduction to Clustering Large and High-Dimensional Data, by Jacob Kogan.

The Text Mining Handbook
Advanced Approaches in Analyzing Unstructured Data

Ronen Feldman, ClearForest Corp., Waltham, MA and Bar-Ilan University, Israel
James Sanger, ABS Ventures, Boston, MA
ISBN-13: 9780521836579
424 pages | $70.00

• Written by recognized experts: Ronen Feldman is a pioneer in machine learning, data mining, and text mining; Jim Sanger is a venture capitalist and industry expert in commercial data solutions, Internet applications, and IT security products

• Presents core algorithms and operations, advanced preprocessing techniques, knowledge representation considerations, and visualization approaches

• Explores current real-world applications of text mining and link detection to such fields as business intelligence, genomics research, and counterterrorism activities

Introduction to Clustering Large and High-Dimensional Data
Jacob Kogan, University of Maryland, Baltimore
ISBN-13: 9780521617932
222 pages | $29.99

• Provides a detailed and up-to-date account of the most important clustering algorithms

• The beginning chapters introduce the classic algorithms, while later chapters describe clustering through divergences and other cutting-edge research for more advanced audiences

For more information or to be added to our mailing list for new books and special sales, contact vyaw@cambridge.org