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PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
14 years 24 days ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...
ICCS
2007
Springer
14 years 2 months ago
Exploration of TCM Masters Knowledge Mining
Traditional Chinese medicine (TCM) has a rich knowledge about human health and disease by its special way evolved along a very long history. As modern medicine is achieving much pr...
Xijin Tang, Nan Zhang, Zheng Wang
SIGSOFT
2008
ACM
14 years 9 months ago
Javert: fully automatic mining of general temporal properties from dynamic traces
Program specifications are important for many tasks during software design, development, and maintenance. Among these, temporal specifications are particularly useful. They expres...
Mark Gabel, Zhendong Su
KDD
1999
ACM
185views Data Mining» more  KDD 1999»
14 years 26 days ago
User-Driven Navigation Pattern Discovery from Internet Data
Managers of electronic commerce sites need to learn as much as possible about their customers and those browsing their virtual premises, in order to maximise the return on marketin...
Matthias Baumgarten, Alex G. Büchner, Sarabjo...
IDEAS
2000
IEEE
90views Database» more  IDEAS 2000»
14 years 1 months ago
StreamJoin: A Generic Database Approach to Support the Class of Stream-Oriented Applications
Today many applications routinely generate large quantities of data. The data often takes the form of (time) series, or more generally streams, i.e. an ordered sequence of records...
Clara Nippl, Ralf Rantzau, Bernhard Mitschang