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DATAMINE
2006
166views more  DATAMINE 2006»
15 years 6 months ago
Accelerated EM-based clustering of large data sets
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...
Jakob J. Verbeek, Jan Nunnink, Nikos A. Vlassis
SIGKDD
2002
83views more  SIGKDD 2002»
15 years 6 months ago
Towards Effective and Interpretable Data Mining by Visual Interaction
The primary aim of most data mining algorithms is to facilitate the discovery of concise and interpretable information from large amounts of data. However, many of the current for...
Charu C. Aggarwal
WWW
2007
ACM
16 years 7 months ago
A clustering method for web data with multi-type interrelated components
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
CIKM
2009
Springer
16 years 1 months ago
Frequent subgraph pattern mining on uncertain graph data
Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...
Zhaonian Zou, Jianzhong Li, Hong Gao, Shuo Zhang
VLDB
2005
ACM
151views Database» more  VLDB 2005»
16 years 5 days ago
On Map-Matching Vehicle Tracking Data
Vehicle tracking data is an essential “raw” material for a broad range of applications such as traffic management and control, routing, and navigation. An important issue with...
Sotiris Brakatsoulas, Dieter Pfoser, Randall Salas...