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PVLDB
2010
204views more  PVLDB 2010»
13 years 9 months ago
Cheetah: A High Performance, Custom Data Warehouse on Top of MapReduce
Large-scale data analysis has become increasingly important for many enterprises. Recently, a new distributed computing paradigm, called MapReduce, and its open source implementat...
Songting Chen
KDD
2006
ACM
222views Data Mining» more  KDD 2006»
14 years 11 months ago
A component-based framework for knowledge discovery in bioinformatics
Motivation: In the field of bioinformatics there is an emerging need to integrate all knowledge discovery steps into a standardized modular framework. Indeed, component-based deve...
Julien Etienne, Bernd Wachmann, Lei Zhang
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 3 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
DAC
2007
ACM
14 years 2 months ago
Automotive Software Integration
A growing number of networked applications is implemented on increasingly complex automotive platforms with several bus standards and gateways. Together, they challenge the automo...
Razvan Racu, Arne Hamann, Rolf Ernst, Kai Richter
JSW
2007
102views more  JSW 2007»
13 years 10 months ago
A Novel Framework for Building Distributed Data Acquisition and Monitoring Systems
— We propose a novel framework for building a distributed data acquisition and monitoring system. Our novel framework is mainly based on XML leverages and OPC (Openness, Producti...
Vu Van Tan, Dae-Seung Yoo, Myeong-Jae Yi