1314 search results - page 5 / 263 » Approximate data mining in very large relational data |
SIGMOD
1998
ACM
13 years 7 months ago
1998
ACM
Great e orts have been paid in the Intelligent Database Systems Research Lab for the research and development of e cient data mining methods and construction of on-line analytical...
SIGMOD
2000
ACM
13 years 11 months ago
2000
ACM
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
CIKM
2009
Springer
14 years 1 months ago
2009
Springer
Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...
ICDE
2008
IEEE
14 years 8 months ago
2008
IEEE
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
ICDM
2005
IEEE
14 years 29 days ago
2005
IEEE
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...