NDLI: An Improved DCI_Closed Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Yongming Miao Hong Wang
Copyright Year	2015
Description	Author affiliation: Shandong Provincial Key Lab. for Distrib. Comput. Software Novel Technol., Shandong Normal Univ., Jinan, China (Yongming Miao; Hong Wang)
Abstract	Frequent itemsets mining will not conducive to data analysis. Because of frequent itemsets mining produce very large amount of frequent itemsets in the case large data. Frequent closed itemsets provides a lossless frequent item sets, the smallest representation. This paper aims at the problem of shortage of the DCI_Closed algorithm in the process of mining efficiency, puts forward a kind of improved DCI_Closed algorithm to improve the efficiency of mining, the algorithm references the concept of co-occurrence itemsets and use the nature of the co-occurrence itemsets to prune operation on the 1-itemsets. And improve the efficiency of the algorithm. The experimental results show that the improved DCI_Closed algorithm is better than DCI_Closed algorithm on running time.
Starting Page	57
Ending Page	61
File Size	169274
Page Count	5
File Format	PDF
e-ISBN	9781467376952
DOI	10.1109/INCoS.2015.11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-02
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Itemsets Software algorithms DCI_Closed algorithm co-occurrence itemsets frequent closed itemsets initial generator Generators Magnetic heads Data mining Yttrium
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

An Optimization to CHARM Algorithm for Mining Frequent Closed Itemsets

Efficient Algorithms for Mining Frequent Itemsets with Constraint

An Incremental Closed Frequent Itemsets Mining Algorithm Based on Shadow Prefix Tree

A Novel Prefix Graph Based Closed Frequent Itemsets Mining Algorithm

An Efficient Algorithm for Frequent Closed Itemsets Mining

A new algorithm for mining frequent closed itemsets from data streams

Research on Algorithm for Mining Frequent Closed Itemsets over Data Stream

Closed frequent itemsets mining over data streams for visualizing network traffic

A Bidirectional Process Algorithm for Mining Probabilistic Frequent Itemsets

An Improved DCI_Closed Algorithm

Similar Documents

An Optimization to CHARM Algorithm for Mining Frequent Closed Itemsets

Efficient Algorithms for Mining Frequent Itemsets with Constraint

An Incremental Closed Frequent Itemsets Mining Algorithm Based on Shadow Prefix Tree

A Novel Prefix Graph Based Closed Frequent Itemsets Mining Algorithm

An Efficient Algorithm for Frequent Closed Itemsets Mining

A new algorithm for mining frequent closed itemsets from data streams

Research on Algorithm for Mining Frequent Closed Itemsets over Data Stream

Closed frequent itemsets mining over data streams for visualizing network traffic

A Bidirectional Process Algorithm for Mining Probabilistic Frequent Itemsets

An Improved DCI_Closed Algorithm