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KDD
2000
ACM
101views Data Mining» more  KDD 2000»
15 years 10 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
RULES
1995
Springer
92views Database» more  RULES 1995»
15 years 10 months ago
Rule Contexts in Active Databases - A Mechanism for Dynamic Rule Grouping
Engineering applications that use Active DBMSs (ADBMSs) often need to group activities into modes that are shifted during the execution of different tasks. This paper presents a me...
Martin Sköld, Esa Falkenroth, Tore Risch
AUSDM
2008
Springer
221views Data Mining» more  AUSDM 2008»
15 years 8 months ago
Mining Medical Specialist Billing Patterns for Health Service Management
This paper presents an application of association rule mining in compliance in the context of health service management. There are approximately 500 million transactions processed...
Yin Shan, David Jeacocke, D. Wayne Murray, Alison ...
APCCM
2006
15 years 7 months ago
Network data mining: methods and techniques for discovering deep linkage between attributes
Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of `emergent' patterns and tre...
John Galloway, Simeon J. Simoff
CACM
1999
92views more  CACM 1999»
15 years 6 months ago
Putting OO Distributed Programming to Work
stractions underlying distributed computing. We attempted to keep our preaims at an abstract and general level. In this column, we make those claims more concrete. More precisely, ...
Pascal Felber, Rachid Guerraoui, Mohamed Fayad