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KDD
2005
ACM
103views Data Mining» more  KDD 2005»
16 years 7 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 7 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
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
16 years 7 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
CHI
2008
ACM
16 years 7 months ago
Ninja cursors: using multiple cursors to assist target acquisition on large screens
We propose the "ninja cursor" to improve the performance of target acquisition, particularly on large screens. This technique uses multiple distributed cursors to reduce...
Masatomo Kobayashi, Takeo Igarashi
CHI
2007
ACM
16 years 7 months ago
Comicboarding: using comics as proxies for participatory design with children
Comicboarding is a participatory design method that uses specially created comic books to generate engaging, productive brainstorming sessions with children. By leveraging known p...
Neema Moraveji, Jason Li, Jiarong Ding, Patrick O'...
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