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SDM
2007
SIAM
81views Data Mining» more  SDM 2007»
15 years 5 months ago
A PAC Bound for Approximate Support Vector Machines
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
Dongwei Cao, Daniel Boley
SDM
2007
SIAM
85views Data Mining» more  SDM 2007»
15 years 5 months ago
Kernel Based Detection of Mislabeled Training Examples
The problem of identifying mislabeled training examples has been examined in several studies, with a variety of approaches developed for editing the training data to obtain better...
Hamed Valizadegan, Pang-Ning Tan
SDM
2003
SIAM
125views Data Mining» more  SDM 2003»
15 years 5 months ago
Scalable, Balanced Model-based Clustering
This paper presents a general framework for adapting any generative (model-based) clustering algorithm to provide balanced solutions, i.e., clusters of comparable sizes. Partition...
Shi Zhong, Joydeep Ghosh
IJAIT
2007
180views more  IJAIT 2007»
15 years 4 months ago
Detection and Prediction of Rare Events in Transaction Databases
Rare events analysis is an area that includes methods for the detection and prediction of events, e.g. a network intrusion or an engine failure, that occur infrequently and have s...
Christos Berberidis, Ioannis P. Vlahavas
EDBT
2004
ACM
131views Database» more  EDBT 2004»
16 years 4 months ago
Declustering Two-Dimensional Datasets over MEMS-Based Storage
Due to the large difference between seek time and transfer time in current disk technology, it is advantageous to perform large I/O using a single sequential access rather than mu...
Hailing Yu, Divyakant Agrawal, Amr El Abbadi