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SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
15 years 11 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
CP
2003
Springer
15 years 11 months ago
Using Constraints for Exploring Catalogs
Abstract. Searching objects within a catalog is a problem of increasing importance, as the general public has access to increasing volumes of data. Constraint programming has addre...
François Laburthe, Yves Caseau
CLOUD
2010
ACM
15 years 11 months ago
Lithium: virtual machine storage for the cloud
To address the limitations of centralized shared storage for cloud computing, we are building Lithium, a distributed storage system designed specifically for virtualization workl...
Jacob Gorm Hansen, Eric Jul
ICRA
2002
IEEE
114views Robotics» more  ICRA 2002»
15 years 11 months ago
Learning Motion Patterns of Persons for Mobile Service Robots
We propose a method for learning models of people’s motion behaviors in an indoor environment. As people move through their environments, they do not move randomly. Instead, the...
Maren Bennewitz, Wolfram Burgard, Sebastian Thrun
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
15 years 11 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
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