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Published in:
2009 | OriginalPaper | Chapter
Data Mining Integrated with Domain Knowledge
Authors : Anqiang Huang, Lingling Zhang, Zhengxiang Zhu, Yong Shi
Published in: Cutting-Edge Research Topics on Multiple Criteria Decision Making
Publisher: Springer Berlin Heidelberg
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Traditional data mining is a data-driven trial-and-error process[1], which aims at discovered pattern/rule. People either view data mining as an autonomous process, or only analyze the issues in an isolated and case-by-case manner. Because it overlooks some valuable information, such as existing knowledge, expert experience, context and real constraints, the results coming out can’t be directly applied to support decisions in business. This paper proposes a new methodology called Data Mining Integrated With Domain Knowledge, aiming to discovery more interesting, more actionable knowledge.