101 search results - page 1 / 21 » Discovery of Influence Sets in Frequently Updated Databases |
VLDB
2001
ACM
13 years 9 months ago
2001
ACM
VLDB
2005
ACM
14 years 5 months ago
2005
ACM
The traditional model of bench (wet) chemistry in many life sciences domain is today actively complimented by computer-based discoveries utilizing the growing number of online data...
DAWAK
2005
Springer
13 years 10 months ago
2005
Springer
Data mining and machine learning must confront the problem of pattern maintenance because data updating is a fundamental operation in data management. Most existing data-mining alg...
CINQ
2004
Springer
13 years 10 months ago
2004
Springer
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...
CINQ
2004
Springer
13 years 8 months ago
2004
Springer
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...