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No detailed description available for "Cluster Analysis and Data Mining".
Ronald S. King holds a PhD in applied statistics and currently teaches online courses for Tarleton State University (TX). Spanning a career of four decades of teaching and administration at multiple universities, he brings a unique perspective to the fields of statistics, computer science, and information systems. His lifetime career publications have made numerous contributions to these fields.
Produktbeschreibung
- Verlag: De Gruyter
- 1. Auflage
- Seitenzahl: 332
- Erscheinungstermin: 5. Dezember 2014
- Englisch
- Abmessung: 229mm x 178mm x 19mm
- Gewicht: 544g
- ISBN-13: 9781938549380
- ISBN-10: 1938549384
- Artikelnr.: 37727508
Herstellerkennzeichnung
Walter de Gruyter
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com
California Bookwatch:
"Cluster Analysis and Data Mining: An Introduction pairs a DVD of appendix references on clustering analysis using SPSS, SAS, and more with a discussion designed for training industry professionals and students, and assumes no prior familiarity in clustering or its larger world of data mining. It provides theories, real-world applications, and pairs these with case histories and examples to support algorithms for clustering data and gathering their results. From different clustering models, their applications, and their uses to exercises and reviews designed to reinforce learning, this is a solid reference for any just beginning to delve into the specifics of data mining operations and options."
"Cluster Analysis and Data Mining: An Introduction pairs a DVD of appendix references on clustering analysis using SPSS, SAS, and more with a discussion designed for training industry professionals and students, and assumes no prior familiarity in clustering or its larger world of data mining. It provides theories, real-world applications, and pairs these with case histories and examples to support algorithms for clustering data and gathering their results. From different clustering models, their applications, and their uses to exercises and reviews designed to reinforce learning, this is a solid reference for any just beginning to delve into the specifics of data mining operations and options."
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