Mohamad Mohsin, Mohamad Farhan and Md Norwawi, Norita and Manaf, Maznie and Abd Wahab, Mohd Helmy (2010) The development of hashing indexing technique in case retrieval. In: Information Technology on International Symposium (ITSim) 2010, 15-17 June 2010, Kuala Lumpur.

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Abstract

Case-based reasoning (CBR) considers previous experience in form of cases to overcome new problems. It requires many solved cases in case base in order to produce a quality decision. Since today, database technology has allowed CBR to use a huge case storage therefore the case retrieval process also reflects the final decision in CBR. Traditionally, sequential indexing method has been applied to search for possible cases in case base. This technique is worked fast when the number of cases is small but it consumes more time to retrieve when the number of data grows in case base.To overcome the weakness, this study researches the non-sequential indexing called hashing as an alternative to mine large cases and faster the retrieval time in CBR. Hashing indexing searches a record by determines the index using only an entry's search key without traveling to all records. This paper presents the review of a literature and early stages of the integration hashing indexing method in CBR. The concept of hashing indexing in case retrieving process, the model development, and the preliminary algorithm testing result will be discussed in this paper.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISSN : 2155-897 Print ISBN: 978-1-4244-6715-0 INSPEC Accession Number: 11513847 (Volume:2 )
Uncontrolled Keywords:	hashing indexing, sequential indexing, case retrieval, temporal data
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Dr. Mohamad Farhan Mohamad Mohsin
Date Deposited:	17 May 2015 03:22
Last Modified:	17 May 2015 03:22
URI:	https://repo.uum.edu.my/id/eprint/14119

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