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» Data Mining of Multi-categorized Data
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202
Voted
KDD
2009
ACM
187views Data Mining» more  KDD 2009»
16 years 7 months ago
New ensemble methods for evolving data streams
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...
161
Voted
VRML
2004
ACM
16 years 8 days ago
Interactive Web-based visualisation of block model data
Mining operations have traditionally used specialised software packages to process and visualise valuable mining data. The downside to this approach is that the information can on...
Tony Gill, Con Caris, Guy LeBlanc Smith
182
Voted
KDD
2003
ACM
114views Data Mining» more  KDD 2003»
16 years 7 months ago
Information awareness: a prospective technical assessment
Recent proposals to apply data mining systems to problems in law enforcement, national security, and fraud detection have attracted both media attention and technical critiques of...
David Jensen, Matthew J. Rattigan, Hannah Blau
187
Voted
SAC
2004
ACM
16 years 8 days ago
Statistical properties of transactional databases
Most of the complexity of common data mining tasks is due to the unknown amount of information contained in the data being mined. The more patterns and correlations are contained ...
Paolo Palmerini, Salvatore Orlando, Raffaele Pereg...
AUSDM
2007
Springer
84views Data Mining» more  AUSDM 2007»
16 years 1 months ago
Detecting Anomalous Longitudinal Associations Through Higher Order Mining
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
Ping Liang, John F. Roddick