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» Using Data Mining in MURA Graphic Problems
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142
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IEAAIE
2004
Springer
15 years 8 months ago
Data Mining Approach for Analyzing Call Center Performance
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...
115
Voted
SDM
2007
SIAM
98views Data Mining» more  SDM 2007»
15 years 4 months ago
An incremental data-stream sketch using sparse random projections
We propose the use of random projections with a sparse matrix to maintain a sketch of a collection of high-dimensional data-streams that are updated asynchronously. This sketch al...
Aditya Krishna Menon, Gia Vinh Anh Pham, Sanjay Ch...
SDM
2008
SIAM
135views Data Mining» more  SDM 2008»
15 years 4 months ago
Preemptive Measures against Malicious Party in Privacy-Preserving Data Mining
Currently, many privacy-preserving data mining (PPDM) algorithms assume the semi-honest model and/or malicious model of multi-party interaction. However, both models are far from ...
Shuguo Han, Wee Keong Ng
JDWM
2007
84views more  JDWM 2007»
15 years 3 months ago
A Look back at the PAKDD Data Mining Competition 2006
The PAKDD Competition 2006 involved the problem of classifying mobile telecom network customers into 2G and 3G, with the ultimate aim of identifying existing 2G network customers w...
Nathaniel B. Noriel, Chew Lim Tan
126
Voted
SOCIALCOM
2010
15 years 1 months ago
Mining Human Location-Routines Using a Multi-Level Approach to Topic Modeling
In this work we address the problem of modeling varying time duration sequences for large-scale human routine discovery from cellphone sensor data using a multi-level approach to p...
Katayoun Farrahi, Daniel Gatica-Perez