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IJSI
2008
104views more  IJSI 2008»
13 years 4 months ago
Attribute Selection for Numerical Databases that Contain Correlations
There are many correlated attributes in a database. Conventional attribute selection methods are not able to handle such correlations and tend to eliminate important rules that exi...
Taufik Djatna, Yasuhiko Morimoto
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
14 years 6 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim
ICDE
2005
IEEE
128views Database» more  ICDE 2005»
14 years 6 months ago
Exploiting Correlated Attributes in Acquisitional Query Processing
Sensor networks and other distributed information systems (such as the Web) must frequently access data that has a high per-attribute acquisition cost, in terms of energy, latency...
Amol Deshpande, Carlos Guestrin, Wei Hong, Samuel ...
ICDE
1997
IEEE
101views Database» more  ICDE 1997»
14 years 6 months ago
Selectivity Estimation in the Presence of Alphanumeric Correlations
Query optimization is an integral part of relational database management systems. One important task in query optimization is selectivity estimation, that is, given a query P, we ...
Min Wang, Jeffrey Scott Vitter, Balakrishna R. Iye...
KDD
1999
ACM
184views Data Mining» more  KDD 1999»
13 years 9 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim