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LWA
2007
15 years 6 months ago
Incremental Mining for Facility Management
Modern buildings are equipped with high-tech systems that take care of several fundamental aspects, e.g., air-conditioning, heating and water supply. The requirements posed on fac...
Katja Hose, Marcel Karnstedt, Daniel Klan, Kai-Uwe...
145
Voted
JCP
2007
148views more  JCP 2007»
15 years 4 months ago
P3ARM-t: Privacy-Preserving Protocol for Association Rule Mining with t Collusion Resistance
— The ability to mine large volumes of distributed datasets enables more precise decision making. However, privacy concerns should be carefully addressed when mining datasets dis...
Iman Saleh, Mohamed Eltoweissy
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 5 months ago
Semi-supervised time series classification
The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data...
Li Wei, Eamonn J. Keogh
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
16 years 5 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White
MMM
2007
Springer
114views Multimedia» more  MMM 2007»
15 years 11 months ago
Mining Multiple Visual Appearances of Semantics for Image Annotation
This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...
Hung-Khoon Tan, Chong-Wah Ngo