427 search results - page 1 / 86 » Discovering Robust Knowledge from Databases that Change |
DATAMINE
1998
13 years 4 months ago
1998
Many applications of knowledge discovery and data mining such as rule discovery for semantic query optimization, database integration and decision support, require the knowledge t...
AAAI
1996
13 years 5 months ago
1996
Many applications of knowledge discovery require the knowledge to be consistent with data. Examples include discovering rules for query optimization, database integration, decisio...
KDD
1995
ACM
13 years 8 months ago
1995
ACM
This paper introduces a new measurement, robustness, to measure the quality of machine-discovered knowledge from real-world databases that change over time. A piece of knowledge i...
DASFAA
2005
IEEE
13 years 10 months ago
2005
IEEE
Abstract. In this paper, we present a FASST mining approach to extract the frequently changing semantic structures (FASSTs), which are a subset of semantic substructures that chang...
CIKM
2009
Springer
13 years 2 months ago
2009
Springer
In this paper, we present a framework for mining diverging patterns, a new type of contrast patterns whose frequency changes significantly differently in two data sets, e.g., it c...