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» Data Mining Using Fractals and Power Laws
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ICTAI
2007
IEEE
14 years 2 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
IJCAI
1997
13 years 10 months ago
Law Discovery using Neural Networks
This paper proposes a new connectionist approach to numeric law discovery; i.e., neural networks (law-candidates) are trained by using a newly invented second-order learning algor...
Kazumi Saito, Ryohei Nakano
ICDM
2010
IEEE
158views Data Mining» more  ICDM 2010»
13 years 6 months ago
Patterns on the Connected Components of Terabyte-Scale Graphs
How do connected components evolve? What are the regularities that govern the dynamic growth process and the static snapshot of the connected components? In this work, we study pat...
U. Kang, Mary McGlohon, Leman Akoglu, Christos Fal...
DGO
2003
295views Education» more  DGO 2003»
13 years 10 months ago
Technology Implementation Management in Law Enforcement: COPLINK System Usability and User Acceptance Evaluations
In this paper, we report on two user-centric evaluation studies of COPLINK, a suite of criminal data mining and knowledge management applications developed at the University of Ari...
Chienting Lin, Paul J. Hu, Hsinchun Chen, Jennifer...
PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
14 years 1 months ago
oddball: Spotting Anomalies in Weighted Graphs
Given a large, weighted graph, how can we find anomalies? Which rules should be violated, before we label a node as an anomaly? We propose the OddBall algorithm, to find such nod...
Leman Akoglu, Mary McGlohon, Christos Faloutsos