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186
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ICDM
2007
IEEE
199views Data Mining» more  ICDM 2007»
16 years 1 months ago
Discovering Structural Anomalies in Graph-Based Data
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder
ICDM
2007
IEEE
179views Data Mining» more  ICDM 2007»
16 years 1 months ago
GDClust: A Graph-Based Document Clustering Technique
This paper introduces a new technique of document clustering based on frequent senses. The proposed system, GDClust (Graph-Based Document Clustering) works with frequent senses ra...
M. Shahriar Hossain, Rafal A. Angryk
165
Voted
ICDM
2007
IEEE
104views Data Mining» more  ICDM 2007»
16 years 1 months ago
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases
Privacy-preserving data mining (PPDM) techniques aim to construct efficient data mining algorithms while maintaining privacy. Statistical disclosure limitation (SDL) techniques a...
Aleksandra B. Slavkovic, Yuval Nardi, Matthew M. T...
AIED
2007
Springer
16 years 27 days ago
Investigating Generative Factors of Score Matrices
An implicit assumption in psychometrics and educational statistics is that the generative model for student scores on test questions is governed by the topics of those questions an...
Titus Winters, Christian R. Shelton, Tom Payne
AIIA
2007
Springer
16 years 27 days ago
Discovering Relational Emerging Patterns
The discovery of emerging patterns (EPs) is a descriptive data mining task defined for pre-classified data. It aims at detecting patterns which contrast two classes and has been ...
Annalisa Appice, Michelangelo Ceci, Carlo Malgieri...