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» Constraint-Based Rule Mining in Large, Dense Databases
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SIGMOD
1997
ACM
134views Database» more  SIGMOD 1997»
15 years 2 months ago
Scalable Parallel Data Mining for Association Rules
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
Eui-Hong Han, George Karypis, Vipin Kumar
DKE
2007
119views more  DKE 2007»
14 years 10 months ago
Association rules mining using heavy itemsets
A well-known problem that limits the practical usage of association rule mining algorithms is the extremely large number of rules generated. Such a large number of rules makes the...
Girish Keshav Palshikar, Mandar S. Kale, Manoj M. ...
VLDB
1998
ACM
312views Database» more  VLDB 1998»
15 years 2 months ago
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
Gholamhosein Sheikholeslami, Surojit Chatterjee, A...
BTW
1999
Springer
145views Database» more  BTW 1999»
15 years 2 months ago
A Multi-Tier Architecture for High-Performance Data Mining
Data mining has been recognised as an essential element of decision support, which has increasingly become a focus of the database industry. Like all computationally expensive data...
Ralf Rantzau, Holger Schwarz
PODS
1998
ACM
134views Database» more  PODS 1998»
15 years 2 months ago
A New Framework For Itemset Generation
The problem of finding association rules in a large database of sales transactions has been widely studied in the literature, We discuss some of the weaknessesof the large itemset...
Charu C. Aggarwal, Philip S. Yu