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» Real world performance of association rule algorithms
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KDD
2008
ACM
161views Data Mining» more  KDD 2008»
15 years 10 months ago
Spectral domain-transfer learning
Traditional spectral classification has been proved to be effective in dealing with both labeled and unlabeled data when these data are from the same domain. In many real world ap...
Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, ...
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
15 years 10 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
SAC
2009
ACM
15 years 4 months ago
An empirical study of incorporating cost into test suite reduction and prioritization
Software developers use testing to gain and maintain confidence in the correctness of a software system. Automated reduction and prioritization techniques attempt to decrease the...
Adam M. Smith, Gregory M. Kapfhammer
INFOCOM
2009
IEEE
15 years 4 months ago
Surface Coverage in Wireless Sensor Networks
—Coverage is a fundamental problem in Wireless Sensor Networks (WSNs). Existing studies on this topic focus on 2D ideal plane coverage and 3D full space coverage. In many real wo...
Ming-Chen Zhao, Jiayin Lei, Min-You Wu, Yunhuai Li...
IWNAS
2008
IEEE
15 years 4 months ago
POND: The Power of Zone Overlapping in DHT Networks
— Distributed Hash Table (DHT) based algorithms have been proposed to solve the routing issues in large-scale Peer-to-Peer (P2P) applications. DHT systems create an elegant Peer-...
Zhiyong Xu, Jizhong Han, Laxmi N. Bhuyan