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MLDM
2009
Springer
15 years 11 months ago
PMCRI: A Parallel Modular Classification Rule Induction Framework
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
Frederic T. Stahl, Max A. Bramer, Mo Adda
PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
15 years 11 months ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
15 years 11 months ago
Clustering Distributed Time Series in Sensor Networks
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...
Jie Yin, Mohamed Medhat Gaber
ADMA
2008
Springer
123views Data Mining» more  ADMA 2008»
15 years 11 months ago
Supporting Customer Retention through Real-Time Monitoring of Individual Web Usage
Customer retention is crucial for any company relying on a regular client base. One way to approach this problem is to analyse actual user behaviour and take proper actions based o...
Peter Hofgesang, Jan Peter Patist
ICDM
2007
IEEE
137views Data Mining» more  ICDM 2007»
15 years 11 months ago
Locally Constrained Support Vector Clustering
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan