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KDD
2009
ACM
193views Data Mining» more  KDD 2009»
14 years 8 months ago
Probabilistic frequent itemset mining in uncertain databases
Probabilistic frequent itemset mining in uncertain transaction databases semantically and computationally differs from traditional techniques applied to standard "certain&quo...
Andreas Züfle, Florian Verhein, Hans-Peter Kr...
KDD
2000
ACM
121views Data Mining» more  KDD 2000»
13 years 11 months ago
Mining high-speed data streams
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
Pedro Domingos, Geoff Hulten
CEC
2009
IEEE
14 years 2 months ago
Gradient estimation in global optimization algorithms
Abstract— The role of gradient estimation in global optimization is investigated. The concept of a regional gradient is introduced as a tool for analyzing and comparing different...
Megan Hazen, Maya R. Gupta
IJCAI
2007
13 years 9 months ago
Constructing New and Better Evaluation Measures for Machine Learning
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
Jin Huang, Charles X. Ling
BMCBI
2006
146views more  BMCBI 2006»
13 years 7 months ago
A critical review of PASBio's argument structures for biomedical verbs
Background: Propositional representations of biomedical knowledge are a critical component of most aspects of semantic mining in biomedicine. However, the proper set of propositio...
K. Bretonnel Cohen, Lawrence Hunter