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KDD
1995
ACM
148views Data Mining» more  KDD 1995»
13 years 11 months ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo
ISI
2007
Springer
14 years 1 months ago
Mining Higher-Order Association Rules from Distributed Named Entity Databases
The burgeoning amount of textual data in distributed sources combined with the obstacles involved in creating and maintaining central repositories motivates the need for effective ...
Shenzhi Li, Christopher D. Janneck, Aditya P. Bela...
PKDD
2009
Springer
137views Data Mining» more  PKDD 2009»
14 years 2 months ago
On Subgroup Discovery in Numerical Domains
Subgroup discovery is a Knowledge Discovery task that aims at finding subgroups of a population with high generality and distributional unusualness. While several subgroup discove...
Henrik Grosskreutz, Stefan Rüping
TSP
2008
118views more  TSP 2008»
13 years 7 months ago
Channel-Aware Random Access Control for Distributed Estimation in Sensor Networks
A cross-layered slotted ALOHA protocol is proposed and analyzed for distributed estimation in sensor networks. Suppose that the sensors in the network record local measurements of ...
Y.-W. P. Hong, Keng-U Lei, Chong-Yung Chi
KES
2008
Springer
13 years 6 months ago
Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Data Base
Privacy is one of the most important properties of an information system must satisfy. In which systems the need to share information among different, not trusted entities, the pro...
Mahmoud Hussein, Ashraf El-Sisi, Nabil A. Ismail