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» Mining Very Large Databases
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122
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CLIMA
2004
15 years 5 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis
TODS
2002
76views more  TODS 2002»
15 years 3 months ago
Searching for dependencies at multiple abstraction levels
g for Dependencies at Multiple Abstraction Levels Toon Calders Raymond T. Ng Jef Wijsen The notion of roll-up dependency (RUD) extends functional dependencies with generalization ...
Toon Calders, Raymond T. Ng, Jef Wijsen
124
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KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 4 months ago
Semi-supervised time series classification
The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data...
Li Wei, Eamonn J. Keogh
133
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ICDM
2009
IEEE
168views Data Mining» more  ICDM 2009»
15 years 10 months ago
Bi-relational Network Analysis Using a Fast Random Walk with Restart
—Identification of nodes relevant to a given node in a relational network is a basic problem in network analysis with great practical importance. Most existing network analysis ...
Jing Xia, Doina Caragea, William H. Hsu
115
Voted
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
15 years 9 months ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung