Lecture07-1-GraphMiningOverview

Lecture07-1-GraphMiningOverview - Data Mining Principles...

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1 2009 11 Data Mining: Principle and Algorithms Data Mining: Principles and Algorithms Jianyong Wang Database Laboratory, Institute of Software Department of Computer Science and Technology Tsinghua University, Beijing 100084 [email protected]
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2 2009 11 Data Mining: Principle and Algorithms Chapter 3: Mining Frequent Patterns, Association and Correlations Basic concepts and a road map Efficient and scalable frequent itemset mining methods Mining various kinds of association rules From association mining to correlation analysis Constraint-based association mining Sequential pattern mining Graph pattern mining Summary
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3 2009 11 Data Mining: Principle and Algorithms Graph Data Mining An overview of graph mining - Motivation - Definition - Challenges Candidate subgraph multiplicity Graph isomorphism - Typical algorithms Apriori-like algorithms Pattern-growth algorithms - Typical applications Case studies—Coherent subgraph mining from large dense graph databases - The CLAN, Cocain, and Cocain* algorithms
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Part 1 An overview of graph mining 4 2009 11 Data Mining: Principle and Algorithms
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5 2009 11 Data Mining: Principle and Algorithms Graph Mining—Motivation Graph data is ubiquitous and diverse, and can be used to naturally model complex relationships among objects Aspirin Yeast protein interaction network From Prof. Jiawei Han’s slides (2008) An Internet Web Co-author network
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6 2009 11 Data Mining: Principle and Algorithms Graph Mining—Motivation Graph mining has many applications - Graph classification (and clustering) Chemical compounds, images, XML documents, … - Graph Search (and containment search) - Web community discovery - Bioinformatics E.g., gene function annotation - Others E.g., stock data internal structure analysis, various social network analysis, graph data compression,…
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7 2009 11 Data Mining: Principle and Algorithms Graph Mining—Definition Graph-based data mining aims at discovering interesting, useful, hidden, unusual patterns from structural data Various graph mining tasks - Social network analysis Community discovery/graph partition, shortest path identifiucation, connection subgraph discovery, … - Graph classification/clustering - Repetitive subgraph patterns in a single graph - Subgraph pattern mining from a set of graphs Frequent subgraph mining, closed subgraph mining, graph generator mining Coherent subgraph mining Contrast subgraph mining
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8 2009 11 Data Mining: Principle and Algorithms Graph Mining—Definition Extend association rule mining to frequent subgraph discovery - A subgraph is frequent if its support (occurrence frequency) in a given dataset is no less than a minimum support threshold (A) (B) (C) Graph Database Frequent Patterns (min_sup is 2) (1) (2)
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9 2009 11 Data Mining: Principle and Algorithms Graph Mining—Definition a b a c c b (a) Labeled Graph p q p p r s t r t q p a a c b (b) Subgraph p s t p a a c b (c) Induced Subgraph p r s t r p
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This note was uploaded on 06/02/2010 for the course COMPUTER DM2009F taught by Professor Wangwei during the Fall '09 term at Tsinghua University.

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Lecture07-1-GraphMiningOverview - Data Mining Principles...

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