NDLI: The Application of Association Rules Algorithm on Web Search Engine

Content Provider	IEEE Xplore Digital Library
Author	Lu Nan Zhou Chun-Guang Cui Lai-Zhong
Copyright Year	2009
Abstract	Aiming at the prevalently concerned mining problem about constructing concept search in current Web search engine area, especially applying the Vector Space Model VSM to web search mining based on the association rules, this paper provides a highly efficient mining algorithm EARS. The EARS algorithm implements the association rules pruning based on VSM via constructing association library and computing similarity. The EARS stores the frequent itemsets via multi-dimensional linked lists and utilizes the recurrence relation among the frequent itemsets in order to effectively obtain the association rules. We verify the extended function of retrieving and querying on the web and the results of these experiments indicate that our method is effective and feasible.
Starting Page	102
Ending Page	108
File Size	410952
Page Count	7
File Format	PDF
ISBN	9781424454112
e-ISBN	9781424454129
DOI	10.1109/CIS.2009.270
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	search engine Software algorithms vector space model association rules Educational institutions Partitioning algorithms Association rules Data mining concept search Itemsets Ear Web mining Search engines Libraries Web search
Content Type	Text
Resource Type	Article

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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
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