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ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
14 years 18 days ago
A Divisive Hierarchical Structural Clustering Algorithm for Networks
Many systems in sciences, engineering and nature can be modeled as networks. Examples are internet, metabolic networks and social networks. Network clustering algorithms aimed to ...
Nurcan Yuruk, Mutlu Mete, Xiaowei Xu, Thomas A. J....
ICDM
2007
IEEE
126views Data Mining» more  ICDM 2007»
14 years 18 days ago
Ask the Crowd to Find out What's Important
We present a corpus-based method for estimating the importance of sentences. Our main contribution is two-fold. First, we introduce the idea of using the increasing amount of manu...
Sisay Fissaha Adafre, Maarten de Rijke
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
13 years 10 months ago
Predicting and Optimizing Classifier Utility with the Power Law
When data collection is costly and/or takes a significant amount of time, an early prediction of the classifier performance is extremely important for the design of the data minin...
Mark Last
ICDM
2007
IEEE
156views Data Mining» more  ICDM 2007»
13 years 10 months ago
Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors
This paper addresses the task of change analysis of correlated multi-sensor systems. The goal of change analysis is to compute the anomaly score of each sensor when we know that t...
Tsuyoshi Idé, Spiros Papadimitriou, Michail...
ICDM
2007
IEEE
103views Data Mining» more  ICDM 2007»
14 years 18 days ago
An Examination of Experimental Methodology for Classifiers of Relational Data
Experimental methodology for evaluating classification algorithms in relational (i.e., networked) data is complicated by dependencies between related data instances. We survey the...
Brian Gallagher, Tina Eliassi-Rad