101 search results - page 1 / 21 » Discovery of Influence Sets in Frequently Updated Databases |
49
Voted
VLDB
2001
ACM
15 years 5 months ago
2001
ACM
184
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VLDB
2005
ACM
16 years 1 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...
118
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DAWAK
2005
Springer
15 years 6 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...
119
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CINQ
2004
Springer
15 years 6 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...
140
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CINQ
2004
Springer
15 years 4 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...