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» Genetic algorithms for large join query optimization
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KDD
2006
ACM
109views Data Mining» more  KDD 2006»
14 years 5 months ago
Extracting redundancy-aware top-k patterns
Observed in many applications, there is a potential need of extracting a small set of frequent patterns having not only high significance but also low redundancy. The significance...
Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han
SIGIR
2009
ACM
13 years 11 months ago
Approximating true relevance distribution from a mixture model based on irrelevance data
Pseudo relevance feedback (PRF), which has been widely applied in IR, aims to derive a distribution from the top n pseudo relevant documents D. However, these documents are often ...
Peng Zhang, Yuexian Hou, Dawei Song
DEXA
2007
Springer
154views Database» more  DEXA 2007»
13 years 11 months ago
Beyond Lazy XML Parsing
XML has become the standard format for data representation and exchange in domains ranging from Web to desktop applications. However, wide adoption of XML is hindered by inefficien...
Fernando Farfán, Vagelis Hristidis, Raju Ra...
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
13 years 10 months ago
Evolutionary testing of state-based programs
The application of Evolutionary Algorithms to structural test data generation, known as Evolutionary Testing, has to date largely focused on programs with input-output behavior. H...
Phil McMinn, Mike Holcombe
ICDE
1998
IEEE
108views Database» more  ICDE 1998»
14 years 6 months ago
Efficient Discovery of Functional and Approximate Dependencies Using Partitions
Discovery of functionaldependencies from relations has been identified as an important database analysis technique. In this paper, we present a new approach for finding functional...
Ykä Huhtala, Juha Kärkkäinen, Pasi ...