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PAKDD
2010
ACM
165views Data Mining» more  PAKDD 2010»
13 years 11 months ago
Classification and Novel Class Detection in Data Streams with Active Mining
We present ActMiner, which addresses four major challenges to data stream classification, namely, infinite length, concept-drift, conceptevolution, and limited labeled data. Most o...
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei ...
VLDB
1998
ACM
180views Database» more  VLDB 1998»
14 years 1 months ago
Active Storage for Large-Scale Data Mining and Multimedia
The increasing performance and decreasing cost of processors and memory are causing system intelligence to move into peripherals from the CPU. Storage system designers are using t...
Erik Riedel, Garth A. Gibson, Christos Faloutsos
ICSE
2009
IEEE-ACM
14 years 4 months ago
Mining recurrent activities: Fourier analysis of change events
Within the field of software repository mining, it is common practice to extract change-events from source control systems and then abstract these events to allow for different a...
Abram Hindle, Michael W. Godfrey, Richard C. Holt
WECWIS
2002
IEEE
131views ECommerce» more  WECWIS 2002»
14 years 2 months ago
Mining Client-Side Activity for Personalization
“Garbage in. garbage out” is a well-known phrase in computer analysis, and one that comes to mind when mining Web data to draw conclusions about Web users. The challenge is th...
Kurt D. Fenstermacher, Mark Ginsburg
CIDM
2007
IEEE
13 years 10 months ago
Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining
— Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, aft...
Robert Moskovitch, Ido Gus, Shay Pluderman, Dima S...