NDLI: The application of a top-down algorithm in neighboring class set mining

Content Provider	IEEE Xplore Digital Library
Author	Gang Fang Cheng-Sheng Tu Jiang Xiong Zi-Quan Wang
Copyright Year	2010
Description	Author affiliation: College of Math and Computer Science, Chongqing Three Gorges University, 404000, China (Gang Fang; Cheng-Sheng Tu; Jiang Xiong; Zi-Quan Wang)
Abstract	This paper focuses on character of present frequent neighboring class set mining algorithms which is suitable for mining short frequent neighboring class set, and introduces a top-down algorithm in frequent neighboring class set mining. This algorithm is suitable for mining long frequent neighboring class set in large spatial data according to top-down strategy, and it creates digital database of neighboring class set via neighboring class bit sequence. The algorithm generates candidate frequent neighboring class set via top-down search strategy, namely, it gains k-neighboring class set as candidate frequent items by computing k-subset of (k+1)-non frequent neighboring class set. The mining algorithm computes support of candidate frequent neighboring class set by digit logical operation. The algorithm improves mining efficiency through these two methods. The result of experiment indicates that the algorithm is faster and more efficient than present algorithms when mining long frequent neighboring class set in large spatial data.
Starting Page	234
Ending Page	237
File Size	125298
Page Count	4
File Format	PDF
ISBN	9781424467914
e-ISBN	9781424467938
DOI	10.1109/ISKE.2010.5680879
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis bit sequence Itemsets Spatial databases neighboring class set top-down strategy Object recognition Association rules spatial data mining long frquent itemsets
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

Frequent Neighboring Class Set Mining Based on Neighboring Index

An Algorithm of Fast Mining Long Frequent Neighboring Class Set

An Algorithm of Complementation Mining Frequent Neighboring Class Set

Frequent neighboring class set mining

An Improved Top-Down Data Mining Algorithm for Long Frequents

An algorithm of mining spatial topology association rules based on Apriori

Analysis and implementation of association rule mining

Fast Mining and Updating Frequent Itemsets

A Weighted Utility Framework for Mining Association Rules

The application of a top-down algorithm in neighboring class set mining

Similar Documents

Frequent Neighboring Class Set Mining Based on Neighboring Index

An Algorithm of Fast Mining Long Frequent Neighboring Class Set

An Algorithm of Complementation Mining Frequent Neighboring Class Set

Frequent neighboring class set mining

An Improved Top-Down Data Mining Algorithm for Long Frequents

An algorithm of mining spatial topology association rules based on Apriori

Analysis and implementation of association rule mining

Fast Mining and Updating Frequent Itemsets

A Weighted Utility Framework for Mining Association Rules

The application of a top-down algorithm in neighboring class set mining