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» Using Data Mining in MURA Graphic Problems
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ICDM
2007
IEEE
124views Data Mining» more  ICDM 2007»
15 years 10 months ago
Local Probabilistic Models for Link Prediction
One of the core tasks in social network analysis is to predict the formation of links (i.e. various types of relationships) over time. Previous research has generally represented ...
Chao Wang, Venu Satuluri, Srinivasan Parthasarathy
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 10 months ago
Disk Aware Discord Discovery: Finding Unusual Time Series in Terabyte Sized Datasets
The problem of finding unusual time series has recently attracted much attention, and several promising methods are now in the literature. However, virtually all proposed methods...
Dragomir Yankov, Eamonn J. Keogh, Umaa Rebbapragad...
VLDB
2005
ACM
136views Database» more  VLDB 2005»
15 years 9 months ago
On k-Anonymity and the Curse of Dimensionality
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
Charu C. Aggarwal
SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
14 years 7 months ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...
SDM
2009
SIAM
251views Data Mining» more  SDM 2009»
16 years 1 months ago
High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
Alok N. Choudhary, Arifa Nisar, Waseem Ahmad, Wei-...