Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/7412

Title: DATA MINING PROCESS MODELS: A ROADMAP FOR KNOWLEDGE DISCOVERY
Authors: Santos, Jorge
Editors: Moutinho, Luiz.
Kun-Huang, Huarng
Keywords: Data mining
process model
CRISP-DM
Issue Date: Dec-2009
Publisher: World Scientific Publishing Co. Pte. Ltd.
Citation: Quantitative modelling in marketing and management / by Luiz Moutinho (University of Glasgow, UK) and Kun-Huang Huarng (Feng Chia University, Taiwan (ROC)). p. cm. ISBN 978-9814407717 (alk. paper) 1. Management--Mathematical models. 2. Marketing--Mathematical models. I. Huarng, Kun-Huang. II. Title. HD30.25.M68 2012 658.80072'7--dc23 2012031583
Abstract: Data mining applications are common for quantitative modelling management problems resolution. As their learning curve has been very much simplified, is no surprise that many users try to apply data mining methods to data bases in a non-planned way. In this chapter, the CRISP-DM process model methodology is presented with the intention of avoiding common traps in data mining applications utilization. The use of this methodology is exemplified with serveral cases of application developed by the authors.
URI: http://www.worldscientific.com/doi/abs/10.1142/9789814407724_0017?prevSearch=%5BFulltext%3A+%5Bauthor%3A+Santos%2C+Jorge+M.A.%5D%5D&searchHistoryKey=
http://hdl.handle.net/10174/7412
Type: bookPart
Appears in Collections:MAT - Publicações - Capítulos de Livros

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