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  1. Proceedings of the 1st international workshop on open source data mining (OSDM '05)
  2. PLWAP sequential mining: open source code
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Finding the real patterns
An implementation of the FP-growth algorithm
MoSS: a program for molecular substructure mining
Implementing leap traversals of the itemset lattice
PLWAP sequential mining: open source code
On benchmarking frequent itemset mining algorithms: from measurement to analysis
On the effectiveness and efficiency of computing bounds on the support of item-sets in the frequent item-sets mining problem
A trie-based APRIORI implementation for mining frequent item sequences
Keeping things simple: finding frequent item sets by recursive elimination
Subdue: compression-based frequent pattern discovery in graph data
LCM ver.3: collaboration of array, bitmap and prefix tree for frequent itemset mining

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PLWAP sequential mining: open source code

Content Provider ACM Digital Library
Author Liu, Yi Ezeife, C. I. Lu, Yi
Abstract PLWAP algorithm uses a preorder linked, position coded version of WAP tree and eliminates the need to recursively re-construct intermediate WAP trees during sequential mining as done by WAP tree technique. PLWAP produces significant reduction in response time achieved by the WAP algorithm and provides a position code mechanism for remembering the stored database, thus, eliminating the need to re-scan the original database as would be necessary for applications like those incrementally maintaining mined frequent patterns, performing stream or dynamic mining.This paper presents open source code for both the PLWAP and WAP algorithms describing our implementations and experimental performance analysis of these two algorithms on synthetic data generated with IBM quest data generator. An implementation of the Apriori-like GSP sequential mining algorithm is also discussed and submitted. A web log pre-processor for producing real input to the algorithms is made available too.
Starting Page 26
Ending Page 35
Page Count 10
File Format PDF
ISBN 1595932100
DOI 10.1145/1133905.1133910
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2005-08-21
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Wap tree Sequential patterns Web usage mining Pre-order linkage
Content Type Text
Resource Type Article
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