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ICDM
2007
IEEE
248views Data Mining» more  ICDM 2007»
14 years 1 months ago
Adapting SVM Classifiers to Data with Shifted Distributions
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...
Jun Yang 0003, Rong Yan, Alexander G. Hauptmann
ISCIS
2004
Springer
14 years 3 months ago
Coordinating Distributed Autonomous Agents with a Real-Time Database: The CAMBADA Project
Interest on using mobile autonomous agents has been growing, recently, due to their capacity to cooperate for diverse purposes, from rescue to demining and security. However, such ...
Luís Almeida, Frederico Santos, Tullio Facc...
WEBI
2004
Springer
14 years 3 months ago
Mining Local Data Sources For Learning Global Cluster Models
— Distributed data mining has recently caught a lot of attention as there are many cases where pooling distributed data for mining is probibited, due to either huge data volume o...
Chak-Man Lam, Xiaofeng Zhang, William Kwok-Wai Che...
ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
14 years 3 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
DEXAW
2003
IEEE
164views Database» more  DEXAW 2003»
14 years 3 months ago
Towards an Open Service Architecture for Data Mining on the Grid
Across a wide variety of fields, huge datasets are being collected and accumulated at a dramatical pace. The datasets addressed by individual applications are very often heteroge...
Peter Brezany, Jürgen Hofer, Alexander Wö...