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» Introduction to Pattern Recognition
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KDD
2007
ACM
170views Data Mining» more  KDD 2007»
15 years 10 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
103
Voted
WWW
2010
ACM
15 years 5 months ago
A pattern tree-based approach to learning URL normalization rules
Duplicate URLs have brought serious troubles to the whole pipeline of a search engine, from crawling, indexing, to result serving. URL normalization is to transform duplicate URLs...
Tao Lei, Rui Cai, Jiang-Ming Yang, Yan Ke, Xiaodon...
84
Voted
SCAM
2006
IEEE
15 years 4 months ago
Evaluating C++ Design Pattern Miner Tools
Many articles and tools have been proposed over the years for mining design patterns from source code. These tools differ in several aspects, thus their fair comparison is hard. B...
Lajos Jeno Fülöp, Tamas Gyovai, Rudolf F...
89
Voted
KDD
2008
ACM
138views Data Mining» more  KDD 2008»
15 years 10 months ago
Quantitative evaluation of approximate frequent pattern mining algorithms
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
Rohit Gupta, Gang Fang, Blayne Field, Michael Stei...
DEBS
2007
ACM
14 years 12 months ago
Identification of suspicious, unknown event patterns in an event cloud
This paper describes an approach to detect unknown event patterns. In this context, an event is not only something that happens, but also something that can be analysed. This task...
Alexander Widder, Rainer von Ammon, Philippe Schae...