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简介
This collection of 13 selected papers originates from the International Seminar on Local Pattern Detection, held in Dagstuhl Castle, Germany in April 2004.
This state-of-the-art survey on the emerging field Local Pattern Detection addresses four main topics. Three papers cover frequent set mining, four cover subgroup discovery, three cover the statistical view, and three papers are devoted to time phenomena.
目录
Pushing Constraints to Detect Local Patterns
From Local to Global Patterns: Evaluation Issues in Rule Learning Algorithms
Pattern Discovery Tools for Detecting Cheating in Student Coursework
Local Pattern Detection and Clustering
Frank HSppner
Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery
Visualizing Very Large Graphs Using Clustering Neighborhoods
Features for Learning Local Patterns in Time-Stamped Data
Boolean Property Encoding for Local Set Pattern Discovery An Application to Gene Expression Data Analysis
Local Pattern Discovery in Array-CGH Data
Learning with Local Models
Knowledge-Based Sampling for Subgroup Discovery
Temporal Evolution and Local Patterns
Undirected Exception Rule Discovery as Local Pattern Detection
From Local to Global Analysis of Music Time Series
Author Index
Local Pattern Detection
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