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» Incremental Mining of Sequential Patterns in Large Databases
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ARTMED
2006
75views more  ARTMED 2006»
13 years 7 months ago
Semi-automatic learning of simple diagnostic scores utilizing complexity measures
Objective: Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semiautoma...
Martin Atzmüller, Joachim Baumeister, Frank P...
ICDE
2000
IEEE
158views Database» more  ICDE 2000»
14 years 9 months ago
The DC-Tree: A Fully Dynamic Index Structure for Data Warehouses
: Many companies have recognized the strategic importance of the knowledge hidden in their large databases and have built data warehouses. Typically, updates are collected and appl...
Hans-Peter Kriegel, Jörn Kohlhammer, Martin E...
WWW
2007
ACM
14 years 8 months ago
Why we search: visualizing and predicting user behavior
The aggregation and comparison of behavioral patterns on the WWW represent a tremendous opportunity for understanding past behaviors and predicting future behaviors. In this paper...
Eytan Adar, Daniel S. Weld, Brian N. Bershad, Stev...
PR
2007
142views more  PR 2007»
13 years 7 months ago
Visual guided navigation for image retrieval
In this work, we are interested in technologies that will allow users to actively browse and navigate large image databases and to retrieve images through interactive fast browsin...
Guoping Qiu, Jeremy Morris, Xunli Fan
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
14 years 7 days ago
A viewpoint-based approach for interaction graph analysis
Recent innovations have resulted in a plethora of social applications on the Web, such as blogs, social networks, and community photo and video sharing applications. Such applicat...
Sitaram Asur, Srinivasan Parthasarathy