NDLI: Mining maximal sequential patterns with layer coded Breadth-First linked WAP-tree

Content Provider	IEEE Xplore Digital Library
Author	Lizhi Liu Jun Liu
Copyright Year	2009
Description	Author affiliation: Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, School of Computer Science and Engineering, Wuhan Institute of Technology, Hubei, China (Lizhi Liu; Jun Liu)
Abstract	Sequential mining is the process of applying data mining techniques to a sequential database for the purposes of discovering the correlation relationships that exist among an ordered list of events. An important application of sequential mining techniques is web usage mining, for mining web log accesses, which the sequences of web page accesses made by different web users over a period of time, through a server, are recorded. This paper proposes an efficient approach for using the BFWAP-tree to mine frequent sequences, which reflects ancestor-descendant relationship of nodes in BFWAP tree directly and efficiently. The proposed algorithm builds the frequent header node links of the original WAP-tree in a Breadth-First fashion and uses the layer code of each node to identify the ancestor-descendant relationships between nodes of the tree. It then, finds each frequent sequential pattern, through progressive Breadth-First sequence search, starting with its first Breadth-First subsequence event. Experiments show huge performance gain over the WAP-tree technique. The space to store maximum frequent sequences is much lower than to store complete set, and web mining applications partly only depend on maximum frequent sequences rather than the complete set of frequent sequences so that mining maximum frequent access sequences is of essential practicability.
Starting Page	61
Ending Page	65
File Size	834202
Page Count	5
File Format	PDF
ISBN	9781424446063
DOI	10.1109/PACIIA.2009.5406373
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laboratories Layer codes Data engineering Application software Data mining Maximal sequential patterns BFWAP-tree mining Intelligent robots Couplings Computer science Databases Web usage mining Web mining Computational intelligence
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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