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Rules Extraction using Data Mining in Historical Data
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Author(s): Manish Kumar (IIIT, Allahabad, India)and Shashank Srivastava (IIIT, Allahabad, India)
Copyright: 2014
Pages: 18
Source title:
Data Mining and Analysis in the Engineering Field
Source Author(s)/Editor(s): Vishal Bhatnagar (Ambedkar Institute of Advanced Communication Technologies and Research, India)
DOI: 10.4018/978-1-4666-6086-1.ch006
PurchaseView on the publisher's website for pricing and purchasing information.
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Abstract
Rules are the smallest building blocks of data mining that produce the evidence for expected outcomes. Many organizations like weather forecasting, production and sales, satellite communications, banks, etc. have adopted this mode of technological understanding not for the enhanced productivity but to attain stability by analyzing past records and preparing a rule-based strategy for the future. Rules may be extracted in different ways depending on the requirements and the dataset from that has to be extracted. This chapter covers various methodologies for extracting such rules. It presents the impact of rule extraction for the predictive analysis in decision making.
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