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» Troubleshooting Distributed Systems via Data Mining
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KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 3 days ago
Overcoming Incomplete User Models in Recommendation Systems Via an Ontology
Abstract. To make accurate recommendations, recommendation systems currently require more data about a customer than is usually available. We conjecture that the weaknesses are due...
Vincent Schickel-Zuber, Boi Faltings
IPPS
2000
IEEE
15 years 4 months ago
PaDDMAS: Parallel and Distributed Data Mining Application Suite
Discovering complex associations, anomalies and patterns in distributed data sets is gaining popularity in a range of scientific, medical and business applications. Various algor...
Omer F. Rana, David W. Walker, Maozhen Li, Steven ...
ISHPC
2000
Springer
15 years 3 months ago
Leveraging Transparent Data Distribution in OpenMP via User-Level Dynamic Page Migration
This paper describes transparent mechanisms for emulating some of the data distribution facilities offered by traditional data-parallel programming models, such as High Performance...
Dimitrios S. Nikolopoulos, Theodore S. Papatheodor...
KDD
2004
ACM
198views Data Mining» more  KDD 2004»
15 years 5 months ago
Mining traffic data from probe-car system for travel time prediction
We are developing a technique to predict travel time of a vehicle for an objective road section, based on real time traffic data collected through a probe-car system. In the area ...
Takayuki Nakata, Jun-ichi Takeuchi
SDM
2008
SIAM
168views Data Mining» more  SDM 2008»
15 years 1 months ago
Semi-Supervised Clustering via Matrix Factorization
The recent years have witnessed a surge of interests of semi-supervised clustering methods, which aim to cluster the data set under the guidance of some supervisory information. U...
Fei Wang, Tao Li, Changshui Zhang