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| About site: Software/Databases/Data Mining/Public Domain Software - PAFI - Pattern Finding Toolkit |
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| About site: http://glaros.dtc.umn.edu/gkhome/pafi/overview/ |
Title: Software/Databases/Data Mining/Public Domain Software - PAFI - Pattern Finding Toolkit A freely available software toolkit for finding frequent patterns in diverse datasets. It contains highly efficient algorithms for finding patterns in transactional, sequential, and graph datasets.
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PAFI Software Package for Finding Frequent Patterns in Diverse Datasets | Karypis Lab @import "/gkhome/modules/node/node.css";@import "/gkhome/modules/system/defaults.css";@import "/gkhome/modules/system/system.css";@import "/gkhome/modules/user/user.css";@import "/gkhome/sites/default/themes/bluesea-gkhome/style.css"; HomeContactMETISCLUTOMONSTERYASSPPForumsClasses Navigation Menu HomeResearchProjectsSoftwareMETISCLUTOPAFIYASSPPAFGenSUGGESTMGridGenMONSTERPSPASESPublicationsEducationClassesLab Information Home » Research » Software PAFI Software Package for Finding Frequent Patterns in Diverse Datasets OverviewDownloadChangesPublications Current version: 1.0.1, 7/7/2003PAFI is a software package that contains a set of programs that can be used to find frequent patterns in large and diverse databases. The current release of PAFI includes three different pattern discovery programs:LPMinerIt is designed to find patterns corresponding to itemsets in a transaction database.SLPMinerIt is designed to find patterns corresponding to sub-sequences in a sequential database.FSGIt is designed to find patterns corresponding to connected undirected subgraphs in an undirected graph database. These programs can be used to mine a wide-range of datasets arising in commercial, information retrieval, and scientific applications.All three programs can be used to find patterns that satisfy a constant minimum support. A key feature of LPMiner and SLPMiner is that they can find long frequent patterns without finding a large number of short patterns that are often useless. This is achieved by using length-decreasing support constraints, where the minimum occurrence frequency of a pattern is given as a non-increasing function of pattern length.PAFI's pattern discovery programs usually provide three additional functionalities. First, all three programs can generate maximal frequent patterns. A maximal frequent pattern is a frequent pattern that is not contained by any other frequent patterns. Generally, the number of maximal frequent patterns is much smaller than the number of all the frequent patterns, leading to higher readability of frequent pattern files. Second, SLPMiner and FSG can generate transaction-ID lists (TID-lists) indicating which sequences or graph transactions support a particular frequent pattern. Third, all three programs can generate parent-children lists (PC-lists) that can be used to construct the frequent pattern lattice. Support ForumIf you encounter any problems or have any "how to use" questions take a look at the community discussion forums.Bugs or Suggestions?If you have any suggestions or you have found a bug please use the online bug & issue tracking system. Active forum topics about HMetis 64bit libraryNewbie question - What is balance?question about edge weights using sclusterMagpar & Metis Can hmetis satisfy the demand below ??more Copyright 2006-2008, George Karypis.
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A | freely | available | software | toolkit | for | finding | frequent | patterns | in | diverse | datasets. | It | contains | highly | efficient | algorithms | for | finding | patterns | in | transactional, | sequential, | and | graph | datasets. |
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http://glaros.dtc.umn.edu/gkhome/pafi/overview/
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A freely available software toolkit for finding frequent patterns in diverse datasets. It contains highly efficient algorithms for finding patterns in transactional, sequential, and graph datasets.
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