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SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
14 years 1 months ago
Time Series Analysis Using the Concept of Adaptable Threshold Similarity
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
KDD
2009
ACM
239views Data Mining» more  KDD 2009»
14 years 8 months ago
Applying syntactic similarity algorithms for enterprise information management
: ? Applying Syntactic Similarity Algorithms for Enterprise Information Management Ludmila Cherkasova, Kave Eshghi, Charles B. Morrey III, Joseph Tucek, Alistair Veitch HP Laborato...
Ludmila Cherkasova, Kave Eshghi, Charles B. Morrey...
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
14 years 8 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
COMPSAC
1998
IEEE
13 years 12 months ago
Tools for the Knowledge Analyst: An Information Superiority Visionary Demonstration
This paper describes the application of a suite of innovative information processing and analytic support tools developed at The MITRE Corporation, in some cases as extensions of ...
Mark T. Maybury
TODS
2002
92views more  TODS 2002»
13 years 7 months ago
Searching in metric spaces with user-defined and approximate distances
Metric access methods (MAMs), such as the M-tree, are powerful index structures for supporting ty queries on metric spaces, which represent a common abstraction for those searchin...
Paolo Ciaccia, Marco Patella