NDLI: Association against dissociation:some pragmatic considerations for frequent itemset generation under fixed and variable thresholds

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Volume 18

Volume 17

Volume 7, Issue 2, December 2005

Introduction to the special issue on link mining

Link mining

Sampling algorithms for pure network topologies

Prediction and ranking algorithms for event-based network data

Dynamic social network analysis using latent space models

The case for anomalous link discovery

Relevance search and anomaly detection in bipartite graphs

Discovering informative connection subgraphs in multi-relational graphs

Comparison of graph-based and logic-based multi-relational data mining

Privacy-enhanced linking

Link mining applications

KDD CUP-2005 report

$Q^{2}C@UST$

The Ferrety algorithm for the KDD Cup 2005 problem

Classifying search engine queries using the web as background knowledge

KDD-2005 workshop report

Multi-Relational Data Mining 2005

BIOKDD 2005 workshop report

Data mining methods for anomaly detection KDD-2005 workshop report

Data mining standards, services and platforms 2005 workshop report

WebKDD 2005

Open source data mining

Report on UBDM-05

The 6th international workshop on Multimedia Data Mining (MDM/KDD2005)

Association against dissociation

Volume 7, Issue 1, June 2005

Association against dissociation:some pragmatic considerations for frequent itemset generation under fixed and variable thresholds

Content Provider	ACM Digital Library
Author	Pal, Sukomal Bagchi, Aditya
Abstract	Traditionally, support is considered to be the standard measure for frequent itemset generation in Association Rule mining. This paper provides a new measure called togetherness where dissociation among items is also considered as a parameter in the frequent itemset generation process. Results of performance analysis show that association against dissociation is a more pragmatic approach and discovers truly associated candidate itemsets. Second part of the paper extends this togetherness measure to the domain of variable threshold. Here, like variable minimum support, a variable minimum togetherness has been proposed where this minimum value decreases as the itemset size increases. A simple and pragmatic process has been described, which can be easily implemented. It also provides ample control facilities in the hand of the users. Necessary change and extension of the existing algorithms have been made to establish the concepts. Here as well, results of performance analysis justify the approach.
Starting Page	151
Ending Page	159
Page Count	9
File Format	PDF
ISSN	19310145 19310153
DOI	10.1145/1117454.1117479
Journal	ACM SIGKDD Explorations Newsletter (SKDD)
Volume Number	7
Issue Number	2
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2000-06-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Association rule mining Togetherness Support Frequent itemset
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

Association against dissociation:some pragmatic consideration for frequent itemset generation under fixed and variable thresholds

Association against dissociation: some pragmatic considerations for frequent itemset generation under fixed and variable thresholds sukomal.

BISC: A bitmap itemset support counting approach for efficient frequent itemset mining

Comparison of Dynamic Itemset Mining Algorithms for Multiple Support Thresholds

Mining Frequent Itemsets Using Support Constraints (2000)

Frequent itemset mining over transactional data streams using item-order-tree.

Pushing Support Constraints Into Association Rules Mining (2003)

An automated association rule mining technique with cumulative support thresholds.

A Real-Time FPGA-Based Accelerator for ECG Analysis and Diagnosis Using Association-Rule Mining

Association against dissociation:some pragmatic considerations for frequent itemset generation under fixed and variable thresholds

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Association against dissociation:some pragmatic consideration for frequent itemset generation under fixed and variable thresholds

Association against dissociation: some pragmatic considerations for frequent itemset generation under fixed and variable thresholds sukomal.

BISC: A bitmap itemset support counting approach for efficient frequent itemset mining

Comparison of Dynamic Itemset Mining Algorithms for Multiple Support Thresholds

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Association against dissociation:some pragmatic considerations for frequent itemset generation under fixed and variable thresholds