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» Approximate data mining in very large relational data
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HIPC
2004
Springer
15 years 9 months ago
A-FAST: Autonomous Flow Approach to Scheduling Tasks
Abstract. This paper investigates the problem of autonomously allocating a large number of independent, equal sized tasks on a distributed heterogeneous grid-like platform, using o...
Sagnik Nandy, Larry Carter, Jeanne Ferrante
DCOSS
2005
Springer
15 years 10 months ago
Distributed Proximity Maintenance in Ad Hoc Mobile Networks
We present an efficient distributed data structure, called the D-SPANNER, for maintaining proximity information among communicating mobile nodes. The D-SPANNER is a kinetic sparse...
Jie Gao, Leonidas J. Guibas, An Nguyen
WABI
2007
Springer
15 years 10 months ago
Predicting Protein Folding Kinetics Via Temporal Logic Model Checking
Christopher James Langmead⋆ and Sumit Kumar Jha Department of Computer Science, Carnegie Mellon University We present a novel approach for predicting protein folding kinetics us...
Christopher James Langmead, Sumit Kumar Jha
VLDB
2007
ACM
137views Database» more  VLDB 2007»
15 years 10 months ago
Detecting Attribute Dependencies from Query Feedback
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...
Peter J. Haas, Fabian Hueske, Volker Markl
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
15 years 11 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...