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» Mining interesting sets and rules in relational databases
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DAGSTUHL
2007
13 years 10 months ago
Subspace outlier mining in large multimedia databases
Abstract. Increasingly large multimedia databases in life sciences, ecommerce, or monitoring applications cannot be browsed manually, but require automatic knowledge discovery in d...
Ira Assent, Ralph Krieger, Emmanuel Müller, T...
DAWAK
1999
Springer
14 years 1 months ago
Modeling KDD Processes within the Inductive Database Framework
One of the most challenging problems in data manipulation in the future is to be able to e ciently handle very large databases but also multiple induced properties or generalizatio...
Jean-François Boulicaut, Mika Klemettinen, ...
SIGMOD
2010
ACM
176views Database» more  SIGMOD 2010»
14 years 1 months ago
DCUBE: discrimination discovery in databases
Discrimination discovery in databases consists in finding unfair practices against minorities which are hidden in a dataset of historical decisions. The DCUBE system implements t...
Salvatore Ruggieri, Dino Pedreschi, Franco Turini
ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
14 years 2 months ago
Average Number of Frequent (Closed) Patterns in Bernouilli and Markovian Databases
In data mining, enumerate the frequent or the closed patterns is often the first difficult task leading to the association rules discovery. The number of these patterns represen...
Loïck Lhote, François Rioult, Arnaud S...
SGAI
2007
Springer
14 years 3 months ago
Visualization and Grouping of Graph Patterns in Molecular Databases
Mining subgraphs is an area of research where we have a given set of graphs, and we search for (connected) subgraphs contained in these graphs. In this paper we focus on the analy...
Edgar H. de Graaf, Walter A. Kosters, Joost N. Kok...