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GPEM
2010
134views more  GPEM 2010»
13 years 7 months ago
An ensemble-based evolutionary framework for coping with distributed intrusion detection
A distributed data mining algorithm to improve the detection accuracy when classifying malicious or unauthorized network activity is presented. The algorithm is based on genetic p...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
KDD
1998
ACM
140views Data Mining» more  KDD 1998»
14 years 1 months ago
Blurring the Distinction between Command and Data in Scientific KDD
We have been working on two different KDD systems for scientific data. One system involves comparative genomics, where the database contains more than 60,000 plant gene and protei...
John V. Carlis, Elizabeth Shoop, Scott Krieger
ICDM
2010
IEEE
115views Data Mining» more  ICDM 2010»
13 years 7 months ago
Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times
Classification of items taken from data streams requires algorithms that operate in time sensitive and computationally constrained environments. Often, the available time for class...
Jin Shieh, Eamonn J. Keogh
ICC
2007
IEEE
14 years 3 months ago
On the Verification of the Gravity Model Used for Mobility Modeling
— Gravity model used to model transport flow has proven invaluable in urban planning. Some recent work has proposed to use gravity model to predict user movements in cellular net...
Yong Huat Chew, Shinobu Nanba, Peng Keong Tham, Bo...
BMVC
2010
13 years 7 months ago
Probabilistic Latent Sequential Motifs: Discovering Temporal Activity Patterns in Video Scenes
This paper introduces a novel probabilistic activity modeling approach that mines recurrent sequential patterns from documents given as word-time occurrences. In this model, docum...
Jagannadan Varadarajan, Rémi Emonet, Jean-M...