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PAKDD
2010
ACM
165views Data Mining» more  PAKDD 2010»
13 years 10 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 19 days 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
AUSDM
2006
Springer
157views Data Mining» more  AUSDM 2006»
14 years 5 days ago
Safely Delegating Data Mining Tasks
Data mining is playing an important role in decision making for business activities and governmental administration. Since many organizations or their divisions do not possess the...
Ling Qiu, Kok-Leong Ong, Siu Man Lui
ASSETS
2007
ACM
14 years 13 days ago
Data visualisation and data mining technology for supporting care for older people
: The overall purpose of the research discussed here is the enhancement of home-based care by revealing individual patterns in the life of a person, through modelling of the "...
Nubia M. Gil, Nick A. Hine, John L. Arnott, Julien...
CIDM
2007
IEEE
13 years 8 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...