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» Modeling Multidimensional Databases
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106
Voted
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 1 months ago
Systematic data selection to mine concept-drifting data streams
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
Wei Fan
137
Voted
KDD
2004
ACM
106views Data Mining» more  KDD 2004»
16 years 1 months ago
Early detection of insider trading in option markets
"Inside information" comes in many forms: knowledge of a corporate takeover, a terrorist attack, unexpectedly poor earnings, the FDA's acceptance of a new drug, etc...
Steve Donoho
89
Voted
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 1 months ago
Turning CARTwheels: an alternating algorithm for mining redescriptions
We present an unusual algorithm involving classification trees-CARTwheels--where two trees are grown in opposite directions so that they are joined at their leaves. This approach ...
Naren Ramakrishnan, Deept Kumar, Bud Mishra, Malco...
112
Voted
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 1 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
115
Voted
KDD
2003
ACM
162views Data Mining» more  KDD 2003»
16 years 1 months ago
Improving spatial locality of programs via data mining
In most computer systems, page fault rate is currently minimized by generic page replacement algorithms which try to model the temporal locality inherent in programs. In this pape...
Karlton Sequeira, Mohammed Javeed Zaki, Boleslaw K...