NDLI: Incremental update strategy for indexed item set mining

Content Provider	IEEE Xplore Digital Library
Author	Sathya, C. Chandrasekar, C.
Copyright Year	2010
Description	Author affiliation: Vellalar College for Women, Erode, Tamil Nadu, India (Sathya, C.) \|\| Periyar University, Salem, Tmil Nadu, India (Chandrasekar, C.)
Abstract	Most of the research activities in association rule mining focuses on defining efficient algorithms for item set extraction. To reduce the computational complexity of item set extraction, support constraint is enforced on the extracted item sets. Recent existing work, IMine index (Item set-Mine index), a data structure, provides a compact representation of transactional data supporting efficient item set extraction from a relational DBMS. However, when the transactional database is updated, IMine index needs to be rematerialized. The proposed work presents an incremental update strategy to work on the dynamic transaction of DMBS for efficient item set extraction. Since no support threshold is enforced during the index creation phase, the incremental update is feasible without accessing the original transactional database. The index performance in terms of incremental updates is experimentally evaluated with data sets characterized by different size and data distribution. The execution time of frequent item set extraction based on incremental update strategy of IMine is better than the state-of-the-art algorithm i.e., existing IMine algorithm without update strategy. The experimental result shows the scalability of incremental update strategy for more frequent database updates characterized by a large number of transactions and with different pattern lengths.
Starting Page	519
Ending Page	523
File Size	219708
Page Count	5
File Format	PDF
ISBN	9788183713696
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-27
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Kongu Engineering College
Subject Keyword	Context Algorithm design and analysis Item set Mining Itemsets Data structures IMine and Incremental Update Data mining Indexes
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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