NDLI: Massive data mining based on item sequence set grid space

Content Provider	IEEE Xplore Digital Library
Author	Lijuan Zhou Zhang Zhang Mingsheng Xu
Copyright Year	2010
Description	Author affiliation: Information Engineering College, Capital Normal University, Beijing, China (Lijuan Zhou; Zhang Zhang; Mingsheng Xu)
Abstract	According to the stored mode of massive data in the relational database, this paper proposed a fast mining algorithm to find maximum frequent item sets based on item sequence set grid space. The traditional methods for mining association rules generate frequent item sets from small to large. These approaches are either time consuming or computationally expensive, and often generate a large number of redundant candidates or frequent item sets, which is fatal for controlling mining speed as data to mass-level. The goal of this paper is first to use a self-defined structure linked list to storage item sequence then to find the frequent item sets from large to small. Several applications of association rules mining using item sequence set grid space has a good performance but it demonstrated inefficiency in massive data mining. The problem involves time spent on sub item sets finding. Experimental results will be presented to show that the fast mining algorithm ISSDL-DM proposed in this paper use much less time than the similar existing algorithm ISS-DM for achieving the same outcomes.
Starting Page	208
Ending Page	211
File Size	2550184
Page Count	4
File Format	PDF
ISBN	9781424451920
ISSN	19483422
DOI	10.1109/CAR.2010.5456666
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	massive data mining data structure Data engineering Educational institutions Transaction databases Data mining Association rules Robotics and automation item sequence set grid space Asia maximum frequent item Automatic control Informatics Mesh generation
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