NDLI: Mining the Future: Predicting Itemsets' Support of Association Rules Mining

Content Provider	IEEE Xplore Digital Library
Author	Guirguis, S. Ahmed, K.M. El Makky, N.M. Hafez, A.M.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci., Pittsburgh Univ., PA (Guirguis, S.)
Abstract	This paper proposes a novel research dimension in the field of data mining, which is mining the future data before its arrival, or in other words: predicting association rules ahead before the arrival of the data. To achieve that, we need only predict the itemsets' support, upon which association rules could be easily produced. A time series analysis approach (MFTP) is proposed to perform itemsets' support prediction task. The proposed technique outperforms other prediction techniques for short history. The conducted performance study showed good prediction accuracy and response time. Thus, we provide a new tool to provide more information in the decision support field
Sponsorship	IEEE CPS
Starting Page	474
Ending Page	478
File Size	252396
Page Count	5
File Format	PDF
ISBN	0769527027
DOI	10.1109/ICDMW.2006.116
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Itemsets Databases Time series analysis Neural networks Predictive models Data mining Association rules History Expert systems
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	Mr. Siddhartha Mukherjee siddhartha@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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Mining the Future: Predicting Itemsets' Support of Association Rules Mining