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KDD
2007
ACM
202views Data Mining» more  KDD 2007»
16 years 4 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
158
Voted
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 4 months ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
137
Voted
KDD
2005
ACM
193views Data Mining» more  KDD 2005»
16 years 4 months ago
An approach to spacecraft anomaly detection problem using kernel feature space
Development of advanced anomaly detection and failure diagnosis technologies for spacecraft is a quite significant issue in the space industry, because the space environment is ha...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
152
Voted
KDD
2001
ACM
231views Data Mining» more  KDD 2001»
16 years 4 months ago
A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking
Web Usage Mining (WUM), a natural application of data mining techniques to the data collected from user interactions with the web, has greatly concerned both academia and industry ...
Cyrus Shahabi, Farnoush Banaei Kashani
CHI
2008
ACM
16 years 4 months ago
Readability of scanned books in digital libraries
Displaying scanned book pages in a web browser is difficult, due to an array of characteristics of the common user's configuration that compound to yield text that is degrade...
Alexander J. Quinn, Chang Hu, Takeshi Arisaka, Ann...