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This concise and approachable introduction to data mining selects a mixture of data mining techniques originating from statistics machine learning and databases and presents them in an algorithmic approach. Aimed primarily at undergraduate readers it presents not only the fundamental principles and concepts of the subject in an easy-to-understand way but also hands on practical instruction on data mining techniques that readers can put into practice as they go along using the freely downloadable Weka toolkit. Author Hongbo Du shares his years of commercial as well as research-based experience in the field through extensive examples and real-world case studies highlighting how data mining solutions provided by software tools are used in practical problem solving. Covering not only traditional areas of data mining such as association clustering and classification this text also explains topics such as data warehousing online-analytic processing and text mining.
TITLE: Data Mining Techniques and Applications
AUTHOR: Hongbo Du
SKU: 9781844808915
PUBLISHER: Cengage Learning EMEA
DATE PUBLISHED: 17/05/2010
PLACE PUBLISHED: United Kingdom
PAGES: 336
BINDING: Paperback / softback
LANGUAGE: English
DIMENSIONS: 190 mm x 246 mm x 15 mm
WEIGHT: 660 gr