Local Pattern Detection : International Seminar Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers - Katharina Morik

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Local Pattern Detection

International Seminar Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers

By: Katharina Morik (Editor), Jean-Francois Boulicaut (Editor), Arno Siebes (Editor)

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Paperback | 14 July 2005

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Introduction The dramatic increase in available computer storage capacity over the last 10 years has led to the creation of very large databases of scienti?c and commercial information. The need to analyze these masses of data has led to the evolution of the new ?eld knowledge discovery in databases (KDD) at the intersection of machine learning, statistics and database technology. Being interdisciplinary by nature, the ?eld o?ers the opportunity to combine the expertise of di?erent ?elds intoacommonobjective.Moreover,withineach?elddiversemethodshave been developed and justi?ed with respect to di?erent quality criteria. We have toinvestigatehowthesemethods cancontributeto solvingthe problemofKDD. Traditionally, KDD was seeking to ?nd global models for the data that - plain most of the instances of the database and describe the general structure of the data. Examples are statistical time series models, cluster models, logic programs with high coverageor classi?cation models like decision trees or linear decision functions. In practice, though, the use of these models often is very l- ited, because global models tend to ?nd only the obvious patterns in the data, 1 which domain experts already are aware of . What is really of interest to the users are the local patterns that deviate from the already-known background knowledge. David Hand, who organized a workshop in 2002, proposed the new ?eld of local patterns.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Computer Vision Graphical & Digital Media Applications 3D Graphics & Modelling Business Applications Mathematical & Statistical Software Computer Programming & Software Development Algorithms & Data Structures Databases

Information Retrieval Mathematical Theory of Computation Maths for Computer Scientists

Pushing Constraints to Detect Local Patterns	p. 1
From Local to Global Patterns: Evaluation Issues in Rule LearningAlgorithms	p. 20
Pattern Discovery Tools for Detecting Cheating in Student Coursework	p. 39
Local Pattern Detection and Clustering	p. 53
Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery	p. 71
Visualizing Very Large Graphs Using Clustering Neighborhoods	p. 89
Features for Learning Local Patterns in Time-Stamped Data	p. 98
Boolean Property Encoding for Local Set Pattern Discovery: An Application to Gene Expression Data Analysis	p. 115
Local Pattern Discovery in Array-CGH Data	p. 135
Learning with Local Models	p. 153
Knowledge-Based Sampling for Subgroup Discovery	p. 171
Temporal Evolution and Local Patterns	p. 190
Undirected Exception Rule Discovery as Local Pattern Detection	p. 207
From Local to Global Analysis of Music Time Series	p. 217
Author Index	p. 233
Table of Contents provided by Publisher. All Rights Reserved.

Local Pattern Detection

International Seminar Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers

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Paperback

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