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ICDM
2007
IEEE
97views Data Mining» more  ICDM 2007»
15 years 9 months ago
Supervised Learning by Training on Aggregate Outputs
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....
125
Voted
IPPS
2007
IEEE
15 years 9 months ago
Implementing OLAP Query Fragment Aggregation and Recombination for the OLAP Enabled Grid
In this paper we propose a new query processing method for the OLAP Enabled Grid, which blends sophisticated cache extraction techniques and data grid scheduling to efficiently s...
Michael Lawrence, Frank K. H. A. Dehne, Andrew Rau...
94
Voted
IPPS
2007
IEEE
15 years 9 months ago
Distributed Aggregation Algorithms with Load-Balancing for Scalable Grid Resource Monitoring
1 Scalable resource monitoring and discovery are essential to the planet-scale infrastructures such as Grids and PlanetLab. This paper proposes a scalable Grid monitoring architect...
Min Cai, Kai Hwang
119
Voted
VTC
2007
IEEE
150views Communications» more  VTC 2007»
15 years 9 months ago
Analysis of Resource Reservation Aggregation in On-Board Networks
Abstract— The concept of providing mobile Internet connectivity for passengers in public transport vehicles, where users connect to a local network that attaches to the Internet v...
Muhammad Ali Malik, Lavy Libman, Salil S. Kanhere,...
153
Voted
ADBIS
2007
Springer
143views Database» more  ADBIS 2007»
15 years 9 months ago
Aggregating Multiple Instances in Relational Database Using Semi-Supervised Genetic Algorithm-based Clustering Technique
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...
Rayner Alfred, Dimitar Kazakov