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» Spatial Data Mining: A Database Approach
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VLDB
2002
ACM
108views Database» more  VLDB 2002»
15 years 5 days ago
Energy-performance trade-offs for spatial access methods on memory-resident data
Abstract. The proliferation of mobile and pervasive computing devices has brought energy constraints into the limelight. Energy-conscious design is important at all levels of syste...
Ning An, Sudhanva Gurumurthi, Anand Sivasubramania...
99
Voted
ESWA
2006
161views more  ESWA 2006»
15 years 16 days ago
Automated trend analysis of proteomics data using an intelligent data mining architecture
Proteomics is a field dedicated to the analysis and identification of proteins within an organism. Within proteomics, two-dimensional electrophoresis (2-DE) is currently unrivalle...
James Malone, Kenneth McGarry, Chris Bowerman
142
Voted
MOBIDE
2010
ACM
15 years 22 days ago
Using data mining to handle missing data in multi-hop sensor network applications
A sensor's data loss or corruption, aka sensor data missing, is a common phenomenon in modern wireless sensor networks. It is more severe for multi-hop sensor network (MSN) a...
Le Gruenwald, Hanqing Yang, Md. Shiblee Sadik, Rah...
CINQ
2004
Springer
157views Database» more  CINQ 2004»
15 years 4 months ago
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
Jean-François Boulicaut
VLDB
1994
ACM
121views Database» more  VLDB 1994»
15 years 4 months ago
The Impact of Global Clustering on Spatial Database Systems
Global clustering has rarely been investigated in the area of spatial database systems although dramatic performance improvements can be achieved by using suitable techniques. In ...
Thomas Brinkhoff, Hans-Peter Kriegel