Granular Computing Based Data Mining In the View of Rough Set
Journal Title: International Journal of Scientific Research and Management - Year 2014, Vol 2, Issue 12
Abstract
Granular computing (GRC) is an umbrella term to cover any theories, methodologies, techniques, and tools that make use of granules(i.e., subsets of a universe) in problem solving. The philosophy of granular computing has appeared in many fields, and it is likely playing a more and more important role in data mining. Rough set theory is a very important paradigms of granular computing, are often used to process vague information in data mining. In this chapter, based on the opinion of data is also a format for knowledge representation, a new understanding for data mining, d omain - oriented data - driven data mining (3DM), is introduced at first. Its main idea is that data mining is a process of knowledge transformation. Then, the relationship of 3DM and GrC, especi ally from the view of rough set is discussed. Then , some examples are used to illustrate how to solve real problems in data mining using granular computing. Combining rough set theory, a flexible way for processing incomplete information systems is introduced firstly. Then , a high efficient attribute reduction algorithm is developed by translating set operation of granules into logical operation of bit strings with bitmap technology. Finally, two rule generation algorithms a re introduced, and experiment results show that the rule sets generated by these two algorithms ar e simpler than other similar algorithms
Authors and Affiliations
Fernandez raj D
Keywords
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