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AUSDM
2006
Springer
177views Data Mining» more  AUSDM 2006»
15 years 8 months ago
On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
Tatjana Eitrich, Bruno Lang
AUSDM
2006
Springer
107views Data Mining» more  AUSDM 2006»
15 years 8 months ago
Using a Kernel-Based Approach to Visualize Integrated Chronic Fatigue Syndrome Datasets
We describe the use of a kernel
Ahmad Al-Oqaily, Paul J. Kennedy
CIDM
2007
IEEE
15 years 5 months ago
SSM : A Frequent Sequential Data Stream Patterns Miner
Data stream applications like sensor network data, click stream data, have data arriving continuously at high speed rates and require online mining process capable of delivering c...
C. I. Ezeife, Mostafa Monwar
KDD
2007
ACM
177views Data Mining» more  KDD 2007»
16 years 5 months ago
On-board analysis of uncalibrated data for a spacecraft at mars
Analyzing data on-board a spacecraft as it is collected enables several advanced spacecraft capabilities, such as prioritizing observations to make the best use of limited bandwid...
Benyang Tang, Kiri Wagstaff, Rebecca Castañ...
GECCO
2007
Springer
308views Optimization» more  GECCO 2007»
15 years 11 months ago
Multiobjective clustering with automatic k-determination for large-scale data
Web mining - data mining for web data - is a key factor of web technologies. Especially, web behavior mining has attracted a great deal of attention recently. Behavior mining invo...
Nobukazu Matake, Tomoyuki Hiroyasu, Mitsunori Miki...