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SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
16 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...
OTM
2005
Springer
16 years 23 days ago
Realising Personalised Web Service Composition Through Adaptive Replanning
The emergence of fully-automated Web service composition as a potential facilitator of both eBusiness and ambient or ubiquitous computing is to be welcomed. However this emergence ...
Steffen Higel, David Lewis, Vincent P. Wade
SC
1994
ACM
15 years 11 months ago
Run-time and compile-time support for adaptive irregular problems
In adaptive irregular problems the data arrays are accessed via indirection arrays, and data access patterns change during computation. Implementingsuch problems ondistributed mem...
Shamik D. Sharma, Ravi Ponnusamy, Bongki Moon, Yua...
ICCS
2007
Springer
15 years 11 months ago
Adaptive Sparse Grid Classification Using Grid Environments
Common techniques tackling the task of classification in data mining employ ansatz functions associated to training data points to fit the data as well as possible. Instead, the fe...
Dirk Pflüger, Ioan Lucian Muntean, Hans-Joach...
GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
15 years 11 months ago
Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation
We study how different prediction update algorithms influence the performance of XCSF. We consider three classical parameter estimation algorithms (NLMS, RLS, and Kalman filter) a...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...