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KDD
2005
ACM
103views Data Mining» more  KDD 2005»
14 years 8 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
ICASSP
2007
IEEE
13 years 11 months ago
Texture Classification by using Advanced Local Binary Patterns and Spatial Distribution of Dominant Patterns
In this paper, we propose a new feature extraction method, which is robust against rotation and histogram equalization for texture classification. To this end, we introduce the co...
Shu Liao, Albert C. S. Chung
DAWAK
2008
Springer
13 years 9 months ago
Mining Conditional Cardinality Patterns for Data Warehouse Query Optimization
Abstract. Data mining algorithms are often embedded in more complex systems, serving as the provider of data for internal decision making within these systems. In this paper we add...
Mikolaj Morzy, Marcin Krystek
ICDM
2002
IEEE
167views Data Mining» more  ICDM 2002»
14 years 16 days ago
From Path Tree To Frequent Patterns: A Framework for Mining Frequent Patterns
In this paper, we propose a new framework for mining frequent patterns from large transactional databases. The core of the framework is of a novel coded prefix-path tree with two...
Yabo Xu, Jeffrey Xu Yu, Guimei Liu, Hongjun Lu
WWW
2010
ACM
14 years 2 months ago
HTTP database connector (HDBC): RESTful access to relational databases
Relational databases hold a vast quantity of information and making them accessible to the web is an big challenge. There is a need to make these databases accessible with as litt...
Alexandros Marinos, Erik Wilde, Jiannan Lu