Type of Material: | Thesis |
Title: | An investigation on automatic support thresholds for association rule mining |
Researcher: | Kanimozhiselvi C S |
Guide: | Tamilarasi A |
Department: | Faculty of Information and Communication Engineering |
Publisher: | Anna University |
Place: | Chennai |
Year: | 01/06/2011 |
Language: | English |
Subject: | Data mining | Knowledge discovery | Rule mining | Exact association rule |
Dissertation/Thesis Note: | PhD |
Fulltext: | Shodhganga |
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008 | __ | 130711t2011||||ii#||||g|m||||||||||eng|| |
035 | __ | |a(IN-AhILN)th_257065 |
040 | __ | |aANNA_600025|dIN-AhILN |
041 | __ | |aeng |
100 | __ | |aKanimozhiselvi C S|eResearcher |
110 | __ | |aFaculty of Information and Communication Engineering|bAnna University|dChennai |
245 | __ | |aAn investigation on automatic support thresholds for association rule mining |
260 | __ | |aChennai|bAnna University|c01/06/2011 |
502 | __ | |bPhD |
518 | __ | |oDate of Notification|d2011-06-01 |
520 | __ | |aThe process of Knowledge Discovery in Database is aimed at extracting useful information from large databases. Among the several steps of Knowledge Discovery in Databases, data mining is the core step. Data mining is the extraction of hidden, predictive |
653 | __ | |aData mining |
653 | __ | |aKnowledge discovery |
653 | __ | |aRule mining |
653 | __ | |aExact association rule |
700 | __ | |aTamilarasi A|eGuide |
856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/9847|yShodhganga |
905 | __ | |anotification |
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