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» Knowledge Discovery from Multiple Databases
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WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
15 years 6 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
CINQ
2004
Springer
163views Database» more  CINQ 2004»
15 years 5 months ago
Frequent Itemset Discovery with SQL Using Universal Quantification
Algorithms for finding frequent itemsets fall into two broad classes: (1) algorithms that are based on non-trivial SQL statements to query and update a database, and (2) algorithms...
Ralf Rantzau
CLUSTER
2005
IEEE
15 years 5 months ago
A pipelined data-parallel algorithm for ILP
The amount of data collected and stored in databases is growing considerably for almost all areas of human activity. Processing this amount of data is very expensive, both humanly...
Nuno A. Fonseca, Fernando M. A. Silva, Víto...
ICDE
1998
IEEE
108views Database» more  ICDE 1998»
16 years 1 months ago
Efficient Discovery of Functional and Approximate Dependencies Using Partitions
Discovery of functionaldependencies from relations has been identified as an important database analysis technique. In this paper, we present a new approach for finding functional...
Ykä Huhtala, Juha Kärkkäinen, Pasi ...
RSCTC
1998
Springer
175views Fuzzy Logic» more  RSCTC 1998»
15 years 4 months ago
Business Process Understanding: Mining Many Datasets
Abstract. Institutional databases can be instrumental in understanding a business process, but additional data may broaden the empirical perspective on the investigated process. We...
Jan M. Zytkow, Arun P. Sanjeev