NDLI: Time related association rules mining for traffic prediction based on Genetic Network Programming combined with Estimation of Distribution Algorithms

Content Provider	IEEE Xplore Digital Library
Author	Yang Wang Mabu, S. Huiyu Zhou Xianneng Li Shimada, K. Bofeng Zhang Hirasawa, K.
Copyright Year	2009
Description	Author affiliation: School of Computer Engineering and Science, Shanghai University, 200072, China (Bofeng Zhang) \|\| Graduate School of Information, Production and Systems, Waseda University, Fukuoka, Japan (Yang Wang; Mabu, S.; Huiyu Zhou; Xianneng Li; Shimada, K.; Hirasawa, K.)
Abstract	In this paper, a method of time-related class association rule mining is proposed based on Genetic Network Programming (GNP) combined with Estimation of Distribution Algorithms (EDAs). There are two important points in this paper: The first important point is to combine GNP with Estimation of Distribution Algorithms which are a novel evolution strategy. The second important point is that three kinds of probability models have been put forward for generating new individuals. The aim of this paper is to extract more interesting association rules and to improve the traffic prediction accuracy by combining Genetic Network Programming with Estimation of Distribution Algorithms. We applied the proposed data mining algorithm to traffic systems in order to predict the traffic volume in future. The simulation results show that our proposed method is effective compared with the conventional method based on GNP.
Starting Page	3468
Ending Page	3473
File Size	473415
Page Count	6
File Format	PDF
ISBN	9784907764340
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-18
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	SICE
Subject Keyword	Association rules Data mining Telecommunication traffic Genetics Traffic control Electronic design automation and methodology Economic indicators Electronic mail Intelligent transportation systems Delay effects Estimation of Distribution Algorithms (EDAs) data mining Genetic Network Programming (GNP)
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

Genetic Network Programming with Estimation of Distribution Algorithms and its application to association rule mining for traffic prediction

Traffic prediction using time related association rules and vehicle routing

Backward time related association rule mining with database rearrangement in traffic volume prediction

Genetic Network Programming with Estimation of Distribution Algorithms for class association rule mining in traffic prediction

Time related association rule mining with Accuracy Validation in traffic volume prediction with large scale simulator

Time related association rules mining with attributes accumulation mechanism applied to large-scale traffic system

Generalized Time Related Sequential Association rule mining and traffic prediction

Comparative association rules mining using Genetic Network Programming(GNP) with attributes accumulation mechanism and its application to traffic systems

Traveling time prediction using isolation rules

Time related association rules mining for traffic prediction based on Genetic Network Programming combined with Estimation of Distribution Algorithms

Similar Documents

Genetic Network Programming with Estimation of Distribution Algorithms and its application to association rule mining for traffic prediction

Traffic prediction using time related association rules and vehicle routing

Backward time related association rule mining with database rearrangement in traffic volume prediction

Genetic Network Programming with Estimation of Distribution Algorithms for class association rule mining in traffic prediction

Time related association rule mining with Accuracy Validation in traffic volume prediction with large scale simulator

Time related association rules mining with attributes accumulation mechanism applied to large-scale traffic system

Generalized Time Related Sequential Association rule mining and traffic prediction

Comparative association rules mining using Genetic Network Programming(GNP) with attributes accumulation mechanism and its application to traffic systems

Traveling time prediction using isolation rules

Time related association rules mining for traffic prediction based on Genetic Network Programming combined with Estimation of Distribution Algorithms