NDLI: Frequent simultaneously congested link-sets discovery and ranking

Content Provider	IEEE Xplore Digital Library
Author	Ren Jiang-tao Zhang Yi Zhang Guo-hui Zong Chun-guang Hu Dong-cheng
Copyright Year	2003
Description	Author affiliation: Dept. of Autom., Tsinghua Univ., Beijing, China (Ren Jiang-tao; Zhang Yi; Zhang Guo-hui; Zong Chun-guang; Hu Dong-cheng)
Abstract	In the past years the number of algorithms and techniques for data mining has grown tremendously, much useful and valuable information can be obtained through data mining. With the development of the Intelligent Transportation Systems (ITS), more and more data from loops or cameras can be collected and used, which is from a good basis for the use of data mining approaches in ITS. In this paper, the frequent item-set mining algorithm is used to discover simultaneously congested link-sets in a road network. Because the amount of discovered item-sets is great, a ranking mechanism is adopted to improve the efficiency of picking the most interesting link-sets. The experiment results show that the approaches are useful for the discovering such link sets automatically and quickly.
Starting Page	624
Ending Page	627
File Size	198353
Page Count	4
File Format	PDF
ISBN	0780381254
DOI	10.1109/ITSC.2003.1252027
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Roads Intelligent transportation systems Artificial intelligence Traffic control Transaction databases Large Hadron Collider Information theory Pattern recognition Control theory
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

On Frequent Item Sets Acquisition Based on the Set Operations of Item-Transaction List

Some trends in Knowledge Discovery and Data Mining

A Study of Urban Traffic Congestion Recognition Based on Pattern Recognition Technology

A Data-Mining-Based Study on Road Traffic Information Analysis and Decision Support

Knowledge Discovery in Information-Service-Oriented Experimental Transportation System

An Improved Algorithm for Mining Maximal Frequent Patterns

Frequent Pattern Mining

Using TraSMAPI for the assessment of multi-agent traffic management solutions

An association rule mining approach for intelligent tutoring system

Frequent simultaneously congested link-sets discovery and ranking

Similar Documents

On Frequent Item Sets Acquisition Based on the Set Operations of Item-Transaction List

Some trends in Knowledge Discovery and Data Mining

A Study of Urban Traffic Congestion Recognition Based on Pattern Recognition Technology

A Data-Mining-Based Study on Road Traffic Information Analysis and Decision Support

Knowledge Discovery in Information-Service-Oriented Experimental Transportation System

An Improved Algorithm for Mining Maximal Frequent Patterns

Frequent Pattern Mining

Using TraSMAPI for the assessment of multi-agent traffic management solutions

An association rule mining approach for intelligent tutoring system

Frequent simultaneously congested link-sets discovery and ranking