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BTW
1999
Springer
157views Database» more  BTW 1999»
15 years 11 months ago
Database Primitives for Spatial Data Mining
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Stefan Grundlach, Hans-Peter Kriegel...
FLAIRS
2007
15 years 9 months ago
Mining Sequences in Distributed Sensors Data for Energy Production
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
Mehmed M. Kantardzic, John Gant
SAC
2008
ACM
15 years 6 months ago
Frequent pattern mining for kernel trace data
Operating systems engineers have developed tracing tools that log details about process execution at the kernel level. These tools make it easier to understand the actual executio...
Christopher LaRosa, Li Xiong, Ken Mandelberg
ICDM
2002
IEEE
111views Data Mining» more  ICDM 2002»
15 years 11 months ago
An Algebraic Approach to Data Mining: Some Examples
In this paper, we introduce an algebraic approach to the foundations of data mining. Our approach is based upon two algebras of functions de ned over a common state space X and a ...
Robert L. Grossman, Richard G. Larson
KDD
1998
ACM
102views Data Mining» more  KDD 1998»
15 years 11 months ago
Defining the Goals to Optimise Data Mining Performance
In many data mining problems the definition of what structures in the database are to be regarded as interesting or valuable is given only loosely. Typically this is regarded as a...
Mark G. Kelly, David J. Hand, Niall M. Adams