Visualizing the construction of incremental Disorder Trie Itemset data structure (DOSTrieIT) for Frequent Pattern Tree (FP-Tree)

Zailani, Abdullah and Tutut, Herawan and Mustafa, Mat Deris (2011) Visualizing the construction of incremental Disorder Trie Itemset data structure (DOSTrieIT) for Frequent Pattern Tree (FP-Tree). In: 2nd International Visual Informatics Conference (IVIC 2011) , 9-11 November 2011 , Selangor. pp. 183-195., 7066. ISSN 0302-9743 ISBN 978-3-642-25190-0

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Abstract

In data mining, visual representation can help in enhancing the ability of analyzing and understanding the techniques, patterns and their integration. Recently, there are varieties of visualizers have been proposed in marketplace and knowledge discovery communities. However, the detail visualization processes for constructing any incremental tree data structure from its original dataset are rarely presented. Essentially, graphic illustrations of the complex processes are easier to be understood as compared to the complex computer pseudocode. Therefore, this paper explains the visualization process of constructing our incremental Disorder Support Trie Itemset (DOSTrieIT) data structure from the flat-file dataset. DOSTrieIT can be used later as a compressed source of information for building Frequent Pattern Tree (FP-Tree). To ensure understandability, an appropriate dataset and its processes are graphically presented and details explained.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Data mining; Data structure; Visual informatics; Visual representation
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 19 Dec 2019 04:41
Last Modified: 19 Dec 2019 04:41
URI: http://umpir.ump.edu.my/id/eprint/25737
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