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» Learning from Highly Structured Data by Decomposition
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CIKM
2008
Springer
15 years 6 months ago
Efficient frequent pattern mining over data streams
This paper proposes a prefix-tree structure, called CPS-tree (Compact Pattern Stream tree) that efficiently discovers the exact set of recent frequent patterns from high-speed dat...
Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed,...
TMC
2008
91views more  TMC 2008»
15 years 4 months ago
Dynamic Forwarding over Tree-on-DAG for Scalable Data Aggregation in Sensor Networks
Computing and maintaining network structures for efficient data aggregation incurs high overhead for dynamic events where the set of nodes sensing an event changes with time. Moreo...
Kai-Wei Fan, Sha Liu, Prasun Sinha
ICDM
2010
IEEE
154views Data Mining» more  ICDM 2010»
15 years 2 months ago
Discrimination Aware Decision Tree Learning
Abstract--Recently, the following discrimination aware classification problem was introduced: given a labeled dataset and an attribute , find a classifier with high predictive accu...
Faisal Kamiran, Toon Calders, Mykola Pechenizkiy
DMIN
2007
226views Data Mining» more  DMIN 2007»
15 years 5 months ago
Generative Oversampling for Mining Imbalanced Datasets
— One way to handle data mining problems where class prior probabilities and/or misclassification costs between classes are highly unequal is to resample the data until a new, d...
Alexander Liu, Joydeep Ghosh, Cheryl Martin
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
15 years 10 months ago
Generalized Framework for Syntax-Based Relation Mining
Supervised approaches to Data Mining are particularly appealing as they allow for the extraction of complex relations from data objects. In order to facilitate their application i...
Bonaventura Coppola, Alessandro Moschitti, Daniele...