Sciweavers

AICCSA
2008
IEEE
216views Hardware» more  AICCSA 2008»
13 years 5 months ago
Mining fault tolerant frequent patterns using pattern growth approach
Mining fault tolerant (FT) frequent patterns from transactional datasets are very complex than mining all frequent patterns (itemsets), in terms of both search space exploration a...
Shariq Bashir, Zahid Halim, Abdul Rauf Baig
DBA
2006
182views Database» more  DBA 2006»
13 years 6 months ago
Matrix Apriori: Speeding Up the Search for Frequent Patterns
This work discusses the problem of generating association rules from a set of transactions in a relational database, taking performance and accuracy of found results as the essent...
Judith Pavón, Sidney Viana, Santiago G&oacu...
CLA
2007
13 years 6 months ago
A New Concise Representation of Frequent Patterns through Disjunctive Search Space
The interest in a further pruning of the set of frequent patterns that can be drawn from real-life datasets is growing up. In fact, it is a quite survival reflex towards providing...
Tarek Hamrouni, Islem Denden, Sadok Ben Yahia, Eng...
COMPSAC
2005
IEEE
13 years 7 months ago
A Novel Method for Protecting Sensitive Knowledge in Association Rules Mining
Discovering frequent patterns from huge amounts of data is one of the most studied problems in data mining. However, some sensitive patterns with security policies may cause a thr...
En Tzu Wang, Guanling Lee, Yu Tzu Lin
ADMA
2005
Springer
124views Data Mining» more  ADMA 2005»
13 years 7 months ago
Finding All Frequent Patterns Starting from the Closure
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad applications in industry and deep implications in many areas of d...
Mohammad El-Hajj, Osmar R. Zaïane
ADMA
2008
Springer
87views Data Mining» more  ADMA 2008»
13 years 7 months ago
Negative Generator Border for Effective Pattern Maintenance
In this paper, we study the maintenance of frequent patterns in the context of the generator representation. The generator representation is a concise and lossless representation o...
Mengling Feng, Jinyan Li, Limsoon Wong, Yap-Peng T...
FLAIRS
2010
13 years 7 months ago
Visual Object Detection using Frequent Pattern Mining
Object search in a visual scene is a highly challenging and computationally intensive task. Most of the current object detection techniques extract features from images for classi...
Yousuf Aboobaker Sait, Balaraman Ravindran
FQAS
2004
Springer
146views Database» more  FQAS 2004»
13 years 8 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina
CIKM
2006
Springer
13 years 8 months ago
Efficient mining of max frequent patterns in a generalized environment
This poster paper summarizes our solution for mining max frequent generalized itemsets (g-itemsets), a compact representation for frequent patterns in the generalized environment....
Daniel Kunkle, Donghui Zhang, Gene Cooperman
ICDM
2007
IEEE
155views Data Mining» more  ICDM 2007»
13 years 9 months ago
Transitional Patterns and Their Significant Milestones
Mining frequent patterns in transaction databases has been studied extensively in data mining research. However, most of the existing frequent pattern mining algorithms do not con...
Qian Wan, Aijun An