Derick Wood

Charles Nicholas

This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Principles of Document Processing, PODP'96, held in Palo Alto, California, USA, in September 1996. The book contains 13 revised full papers presented as chapters of a coherent, monograph-like book. The papers focus equally on the theory and the practice of document processing. Among the topics covered are theory of media, cross media publishing and multi-modal documents, SGML content models, grammar-compatible stylesheets, multimedia documents, temporal constraints in multimedia, hypertext representation, contextual knowledge, structured documents for IR, Web-publishing, virtual documents, etc.

Third International Workshop, PODP '96, Palo Alto, California, USA, September 23, 1996. Proceedings

Principles of Document Processing

Ethan V. Munson

This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Principles of Digital Document Processing, PODDP'98, held in Saint Malo, France, in March 1998. The 12 revised full papers presented were carefully reviewed during two rounds of selection for inclusion in the book. The book is divided into sections on document models and structures, characterization of documents and corpora, and accessing collections of documents.

4th International Workshop, PODDP’98 Saint Malo, France, March 29–30, 1998 Proceedings

Principles of Digital Document Processing

Marc Teboulle

Jacob Kogan

Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection. Kogan and his co-editors have put together recent advances in clustering large and high-dimension data. Their volume addresses new topics and methods which are central to modern data analysis, with particular emphasis on linear algebra tools, opimization methods and statistical techniques. The contributions, written by leading researchers from both academia and industry, cover theoretical basics as well as application and evaluation of algorithms, and thus provide an excellent state-of-the-art overview. The level of detail, the breadth of coverage, and the comprehensive bibliography make this book a perfect fit for researchers and graduate students in data mining and in many other important related application areas.

Recent Advances in Clustering

Grouping Multidimensional Data

Will Eisner

Dick French

William Woolfolk

Reed Crandall

Organized by Blackhawk, a young aviator seeking vengeance on his family's killers, Andre, Olaf, Chuck, Stanislaus, Hendrickson, and Chop-Chop battle the Nazis.

The Blackhawk Archives

Charles Nicholas

About

Books

Join the club