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» Theoretical Frameworks for Data Mining
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ICDE
2008
IEEE
195views Database» more  ICDE 2008»
15 years 11 months ago
LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams
Abstract-- In recent years, data streams have become ubiquitous because of advances in hardware and software technology. The ability to adapt conventional mining problems to data s...
Charu C. Aggarwal, Philip S. Yu
ADMI
2010
Springer
14 years 11 months ago
Clustering in a Multi-Agent Data Mining Environment
A Multi-Agent based approach to clustering using a generic Multi-Agent Data Mining (MADM) framework is described. The process use a collection of agents, running several different ...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
14 years 8 months ago
CET: A Tool for Creative Exploration of Graphs
We present a tool for interactive exploration of graphs that integrates advanced graph mining methods in an interactive visualization framework. The tool enables efficient explorat...
Stefan Haun, Andreas Nürnberger, Tobias K&oum...
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
15 years 11 months ago
A Framework for Clustering Uncertain Data Streams
Abstract-- In recent years, uncertain data management applications have grown in importance because of the large number of hardware applications which measure data approximately. F...
Charu C. Aggarwal, Philip S. Yu
KDD
2012
ACM
235views Data Mining» more  KDD 2012»
13 years 6 days ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh