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» On improving application utility prediction
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GECCO
2003
Springer
139views Optimization» more  GECCO 2003»
14 years 3 months ago
Daily Stock Prediction Using Neuro-genetic Hybrids
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...
Yung-Keun Kwon, Byung Ro Moon
CASCON
1996
140views Education» more  CASCON 1996»
13 years 11 months ago
Improving cohesiveness and flexibility in systems management architectures using distributed object technologies over the intern
Management applications are sensitive to changes in application and system configuration. This coupling makes it difficult and expensive to develop management applications and kee...
Asham El Rayess, Vidar Vetland, Jerome A. Rolia, J...
WSDM
2010
ACM
242views Data Mining» more  WSDM 2010»
14 years 7 months ago
Improving Ad Relevance in Sponsored Search
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...
VLDB
2002
ACM
120views Database» more  VLDB 2002»
13 years 9 months ago
Improving Data Access of J2EE Applications by Exploiting Asynchronous Messaging and Caching Services
The J2EE platform provides a variety of options for making business data persistent using DBMS technology. However, the integration with existing backend database systems has prov...
Samuel Kounev, Alejandro P. Buchmann
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
14 years 11 months ago
Integrating and Ranking Uncertain Scientific Data
Mediator-based data integration systems resolve exploratory queries by joining data elements across sources. In the presence of uncertainties, such multiple expansions can quickly ...
Landon Detwiler, Wolfgang Gatterbauer, Brenton Lou...