NDLI: Distribution-based synthetic database generation techniques for itemset mining

Content Provider	IEEE Xplore Digital Library
Author	Ramesh, G. Zaki, M.J. Maniatty, W.A.
Copyright Year	2005
Description	Author affiliation: British Columbia Univ., Vancouver, BC, Canada (Ramesh, G.)
Abstract	The resource requirements of frequent pattern mining algorithms depend mainly on the length distribution of the mined patterns in the database. Synthetic databases, which are used to benchmark performance of algorithms, tend to have distributions far different from those observed in real datasets. In this paper we focus on the problem of synthetic database generation and propose algorithms to effectively embed within the database, any given set of maximal pattern collections, and make the following contributions: 1. A database generation technique is presented which takes k maximal itemset collections as input, and constructs a database which produces these maximal collections as output, when mined at k levels of support. To analyze the efficiency of the procedure, upper bounds are provided on the number of transactions output in the generated database; 2. A compression method is used and extended to reduce the size of the output database. An optimization to the generation procedure is provided which could potentially reduce the number of transactions generated; 3. Preliminary experimental results are presented to demonstrate the feasibility of using the generation technique.
Starting Page	307
Ending Page	316
File Size	229840
Page Count	10
File Format	PDF
ISBN	0769524044
ISSN	10988068
DOI	10.1109/IDEAS.2005.22
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-25
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Itemsets Data mining Transaction databases Upper bound Engineering profession Statistical distributions US Department of Energy Intellectual property Availability Performance analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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