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IJCAI
2007
13 years 10 months ago
Learning to Identify Unexpected Instances in the Test Set
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
Xiaoli Li, Bing Liu, See-Kiong Ng
ASUNAM
2010
IEEE
13 years 10 months ago
COSI: Cloud Oriented Subgraph Identification in Massive Social Networks
Subgraph matching is a key operation on graph data. Social network (SN) providers may want to find all subgraphs within their social network that "match" certain query gr...
Matthias Bröcheler, Andrea Pugliese, V. S. Su...
ICDE
2012
IEEE
208views Database» more  ICDE 2012»
11 years 11 months ago
Fast SLCA and ELCA Computation for XML Keyword Queries Based on Set Intersection
— In this paper, we focus on efficient keyword query processing for XML data based on SLCA and ELCA semantics. We propose for each keyword a novel form of inverted list, which i...
Junfeng Zhou, Zhifeng Bao, Wei Wang, Tok Wang Ling...
AISADM
2005
Springer
14 years 2 months ago
A Cooperative Multi-agent Data Mining Model and Its Application to Medical Data on Diabetes
Abstract. We present CoLe, a model for cooperative agents for mining knowledge from heterogeneous data. CoLe allows for the cooperation of different mining agents and the combinat...
Jie Gao, Jörg Denzinger, Robert C. James
BMCBI
2005
126views more  BMCBI 2005»
13 years 8 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois