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GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
15 years 7 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer
BSN
2006
IEEE
150views Sensor Networks» more  BSN 2006»
15 years 5 months ago
Multi-sensor Data Fusion Using the Influence Model
System robustness against individual sensor failures is an important concern in multi-sensor networks. Unfortunately, the complexity of using the remaining sensors to interpolate ...
Wen Dong, Alex Pentland
NGITS
1995
Springer
15 years 5 months ago
The TSIMMIS Approach to Mediation: Data Models and Languages
TSIMMIS—TheStanford-IBMManagerofMultipleInformationSources—isasystemforintegrating information. It offers a data model and a common query language that are designed to support ...
Hector Garcia-Molina, Dallan Quass, Yannis Papakon...
CORR
2010
Springer
138views Education» more  CORR 2010»
15 years 1 months ago
A Logical Temporal Relational Data Model
Time is one of the most difficult aspects to handle in real world applications such as database systems. Relational database management systems proposed by Codd offer very little ...
Nadeem Mahmood, Aqil Burney, Kamran Ahsan
EMSOFT
2009
Springer
15 years 8 months ago
Probabilistic modeling of data cache behavior
In this paper, we propose a formal analysis approach to estimate the expected (average) data cache access time of an application across all possible program inputs. Towards this g...
Vinayak Puranik, Tulika Mitra, Y. N. Srikant