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» Using Data Mining in MURA Graphic Problems
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SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
15 years 5 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
KDD
2009
ACM
169views Data Mining» more  KDD 2009»
15 years 11 months ago
On burstiness-aware search for document sequences
As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching su...
Theodoros Lappas, Benjamin Arai, Manolis Platakis,...
ICDM
2003
IEEE
240views Data Mining» more  ICDM 2003»
15 years 9 months ago
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
Eamonn J. Keogh, Jessica Lin, Wagner Truppel
KDD
2010
ACM
195views Data Mining» more  KDD 2010»
15 years 8 months ago
Universal multi-dimensional scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is m...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...
114
Voted
KDD
1998
ACM
84views Data Mining» more  KDD 1998»
15 years 8 months ago
Similarity of Attributes by External Probes
In data mining, similarity or distance between attributes is one of the central notions. Such a notion can be used to build attribute hierarchies etc. Similarity metrics can be us...
Gautam Das, Heikki Mannila, Pirjo Ronkainen