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SSDBM
2010
IEEE
142views Database» more  SSDBM 2010»
15 years 4 months ago
Efficient and Adaptive Distributed Skyline Computation
Skyline queries have attracted considerable attention over the last few years, mainly due to their ability to return interesting objects without the need for user-defined scoring f...
George Valkanas, Apostolos N. Papadopoulos
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
15 years 11 months ago
Exploring relationships between genotype and oral cancer development through XCS
In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...
Alessandro Passaro, Flavio Baronti, Valentina Magg...
TON
2008
139views more  TON 2008»
15 years 6 months ago
Stochastic learning solution for distributed discrete power control game in wireless data networks
Distributed power control is an important issue in wireless networks. Recently, noncooperative game theory has been applied to investigate interesting solutions to this problem. Th...
Yiping Xing, Rajarathnam Chandramouli
DKE
2008
109views more  DKE 2008»
15 years 6 months ago
Deterministic algorithms for sampling count data
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
Hüseyin Akcan, Alex Astashyn, Hervé Br...
KDD
1998
ACM
112views Data Mining» more  KDD 1998»
15 years 10 months ago
Evaluating Usefulness for Dynamic Classification
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
Gholamreza Nakhaeizadeh, Charles Taylor, Carsten L...