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CINQ
2004
Springer
125views Database» more  CINQ 2004»
14 years 1 months ago
The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery
Many researchers in our community (this author included) regularly emphasize the role constraints play in improving performance of data-mining algorithms. This emphasis has led to ...
Roberto J. Bayardo
DATAMINE
1999
152views more  DATAMINE 1999»
13 years 7 months ago
Discovery of Frequent DATALOG Patterns
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
Luc Dehaspe, Hannu Toivonen
CORR
2008
Springer
114views Education» more  CORR 2008»
13 years 7 months ago
Dynamic index selection in data warehouses
Analytical queries defined on data warehouses are complex and use several join operations that are very costly, especially when run on very large data volumes. To improve response...
Stéphane Azefack, Kamel Aouiche, Jér...
DAWAK
2006
Springer
13 years 9 months ago
COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach
Sequential pattern mining aims to find frequent patterns (guarded by a minimum support) in a database of sequences. As the support decreases the number of sequential patterns will...
Kuo-Yu Huang, Chia-Hui Chang, Jiun-Hung Tung, Chen...
SDM
2009
SIAM
184views Data Mining» more  SDM 2009»
14 years 4 months ago
DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
Emmanuel Müller, Ira Assent, Ralph Krieger, S...