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KDD
2003
ACM
148views Data Mining» more  KDD 2003»
16 years 5 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
KDD
2002
ACM
160views Data Mining» more  KDD 2002»
16 years 5 months ago
Scaling multi-class support vector machines using inter-class confusion
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
Shantanu Godbole, Sunita Sarawagi, Soumen Chakraba...
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 5 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
CHI
2008
ACM
16 years 5 months ago
Communication chains and multitasking
There is a growing literature on managing multitasking and interruptions in the workplace. In an ethnographic study, we investigated the phenomenon of communication chains, the oc...
Norman Makoto Su, Gloria Mark
CHI
2005
ACM
16 years 5 months ago
Interaction in 4-second bursts: the fragmented nature of attentional resources in mobile HCI
When on the move, cognitive resources are reserved partly for passively monitoring and reacting to contexts and events, and partly for actively constructing them. The Resource Com...
Antti Oulasvirta, Sakari Tamminen, Virpi Roto, Jaa...
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