NDLI: Performance prediction for association rule mining algorithms

Content Provider	IEEE Xplore Digital Library
Author	Ivancsy, R. Juhasz, S. Kovacs, F.
Copyright Year	2004
Description	Author affiliation: Dept. of Autom. & Appl. Informatics, Budapest Univ. of Technol. & Econ. (Ivancsy, R.; Juhasz, S.; Kovacs, F.)
Abstract	Execution time prediction is very important issue in job scheduling and resource allocation. Association rule mining algorithms are complex and their execution time depends on both the properties of the input data sources and on the mining parameters. In this paper, an analytical model of the Apriori algorithm is introduced, which is based on statistical parameters of the input dataset (average size of the transactions, number of transactions in the dataset) and on the minimum support threshold. The developed analytical model has only few parameters therefore the predicted execution time can be calculated in a simple way. The investigated domain of the input parameters covers the most commonly used datasets, therefore the introduced model can be used widely in field of association rule mining. The constant parameters of the model can be identified in small number of test executions. The developed model allows predicting the execution time of the Apriori algorithm in a wide range of parameters. The suggested model was validated by several different datasets and the experimental results show that the overall average error rate of the model is less than 15%
Starting Page	267
Ending Page	271
File Size	812649
Page Count	5
File Format	PDF
ISBN	0780385888
DOI	10.1109/ICCCYB.2004.1437725
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-08-30
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Automation Itemsets Predictive models Economic forecasting Association rules Data mining Resource management Informatics Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in