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KDD
2004
ACM
196views Data Mining» more  KDD 2004»
16 years 3 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
16 years 3 months ago
Discovery of climate indices using clustering
To analyze the effect of the oceans and atmosphere on land climate, Earth Scientists have developed climate indices, which are time series that summarize the behavior of selected ...
Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Ste...
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
16 years 3 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
PERCOM
2006
ACM
16 years 2 months ago
Adaptive Medical Feature Extraction for Resource Constrained Distributed Embedded Systems
Tiny embedded systems have not been an ideal outfit for high performance computing due to their constrained resources. Limitations in processing power, battery life, communication ...
Roozbeh Jafari, Hyduke Noshadi, Majid Sarrafzadeh,...
CIARP
2009
Springer
15 years 9 months ago
Analysis of the GRNs Inference by Using Tsallis Entropy and a Feature Selection Approach
Abstract. An important problem in the bioinformatics field is to understand how genes are regulated and interact through gene networks. This knowledge can be helpful for many appl...
Fabrício Martins Lopes, Evaldo A. de Olivei...