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KDD
2007
ACM
179views Data Mining» more  KDD 2007»
14 years 4 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
SSDBM
2006
IEEE
163views Database» more  SSDBM 2006»
14 years 4 months ago
ACache: Using Caching to Improve the Performance of Multiple Sequence Alignments
Multiple sequence alignment represents a class of powerful bioinformatics tools with many uses in computational biology ranging from discovery of characteristic motifs and conserv...
Xun Tu, Kajal T. Claypool, Cindy X. Chen
ADVIS
2006
Springer
14 years 4 months ago
Structural and Event Based Multimodal Video Data Modeling
Investments on multimedia technology enable us to store many more reflections of the real world in digital world as videos. By recording videos about real world entities, we carry...
Hakan Öztarak, Adnan Yazici
SAC
2006
ACM
14 years 4 months ago
Automatic structured query transformation over distributed digital libraries
Structured data and complex schemas are becoming the main way to represent the information many Digital Libraries provide, thus impacting the services they offer. When searching i...
M. Elena Renda, Umberto Straccia
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
14 years 3 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali