DocumentCode :
506913
Title :
Rule-Chain Incremental Mining Algorithm Based on Directed Graph
Author :
Ning, Hongyun ; Zhang, Zhiying ; Zhang, Degan
Author_Institution :
Tianjin Key Lab. of Intell. Comput. & Novel Software Technol., Tianjin Univ. of Technol., Tianjin, China
Volume :
2
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
118
Lastpage :
122
Abstract :
Aiming to discover the rule-chains directly, a novel graph-based online incremental mining algorithm (RIOMining) is proposed. Firstly, an interrelated bitmap based on a directed graph (PAGraph) is designed to compress the rule-chain information for storage. The compressed storage of the directed-graph effectively avoids repetitious database scanning and makes meaningful rules found more conveniently. Secondly, four theorems about discovery and pruning of frequent path in the graph are proved, so as to the rule-chains could be iteratively generated by searching incremental paths, while the theorems narrow the search scope and promote the performance by properly pruning and extending paths. It effectively reduces the redundancy calculation. Comparing it with other two fast mining algorithms, DLG and FP-growth, experimental result shows that it can mine rule-chains of high quality, especially, it is of real-time accuracy, and thereby it can be widely applied to dynamic network environment.
Keywords :
data mining; directed graphs; DLG-growth; FP-growth; directed graph; interrelated bitmap; rule-chain incremental mining algorithm; rule-chain information; Algorithm design and analysis; Association rules; Computer science education; Computer vision; Data mining; Educational technology; Fuzzy systems; Iterative algorithms; Laboratories; Transaction databases; Association rule; Frequent Path Discovery; Incremental Mining; Rule-chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
Type :
conf
DOI :
10.1109/FSKD.2009.587
Filename :
5358679
Link To Document :
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