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» Incremental Mining of Sequential Patterns in Large Databases
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AUSAI
2003
Springer
14 years 25 days ago
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
14 years 8 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
WWW
2004
ACM
14 years 8 months ago
On mining webclick streams for path traversal patterns
Mining user access patterns from a continuous stream of Web-clicks presents new challenges over traditional Web usage mining in a large static Web-click database. Modeling user ac...
Hua-Fu Li, Suh-Yin Lee, Man-Kwan Shan
VLDB
2005
ACM
79views Database» more  VLDB 2005»
14 years 1 months ago
General Purpose Database Summarization
In this paper, a message-oriented architecture for large database summarization is presented. The summarization system takes a database table as input and produces a reduced versi...
Régis Saint-Paul, Guillaume Raschia, Noured...
DAWAK
2001
Springer
14 years 3 days ago
Determining the Convex Hull in Large Multidimensional Databases
Determiningthe convex hull ofa point set isa basic operation for many applications of pattern recognition, image processing, statistics, and data mining. Although the corresponding...
Christian Böhm, Hans-Peter Kriegel