A Fast & Memory Efficient Technique for Mining Frequent Item Sets from a Data Set
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 4
Abstract
Abstract: Frequent/Periodic item set mining is a extensively used data mining method for market based analysis,privacy preserving and it is also a heart favourite theme for the resarchers. A substantial work has been devoted to this research and tremendous progression made in this field so far. Frequent/ Periodic itemset mining is used for search and to find back the relationship in a given data set. This paper introduces a new way which is more efficient in time and space frequent itemset mining. Our method scans the database only one time whereas the previous algorithms scans the database many times which utilizes more time and memory related to new one. In this way,the new algorithm will reduced the complexity (time & memory) of frequent pattern mining. We present efficient techniques to implement the new approach.
Authors and Affiliations
Richa Mathur , Virendra Kumar
Keywords
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