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CINQ
2004
Springer
189views Database» more  CINQ 2004»
14 years 1 months ago
Employing Inductive Databases in Concrete Applications
In this paper we present the application of the inductive database approach to two practical analytical case studies: Web usage mining in Web logs and financial data. As far as co...
Rosa Meo, Pier Luca Lanzi, Maristella Matera, Dani...
KDD
1999
ACM
220views Data Mining» more  KDD 1999»
14 years 10 days ago
Efficient Mining of Emerging Patterns: Discovering Trends and Differences
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
Guozhu Dong, Jinyan Li
VLDB
2004
ACM
94views Database» more  VLDB 2004»
14 years 1 months ago
Whither Data Mining?
The last decade has witnessed tremendous advances in data mining. We take a retrospective look at these developments, focusing on association rules discovery, and discuss the chal...
Rakesh Agrawal, Ramakrishnan Srikant
SIGMOD
2007
ACM
151views Database» more  SIGMOD 2007»
14 years 8 months ago
The case for a wide-table approach to manage sparse relational data sets
A "sparse" data set typically has hundreds or even thousands of attributes, but most objects have non-null values for only a small number of these attributes. A popular ...
Eric Chu, Jennifer L. Beckmann, Jeffrey F. Naughto...
PKDD
2007
Springer
95views Data Mining» more  PKDD 2007»
14 years 2 months ago
Pruning Relations for Substructure Discovery of Multi-relational Databases
Multirelational data mining methods discover patterns across multiple interlinked tables (relations) in a relational database. In many large organizations, such a multi-relational ...
Hongyu Guo, Herna L. Viktor, Eric Paquet