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» Evaluation of the SRA Tool Using Data Mining Techniques
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SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
15 years 7 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
PAKDD
2005
ACM
63views Data Mining» more  PAKDD 2005»
15 years 11 months ago
Pruning Derivative Partial Rules During Impact Rule Discovery
Because exploratory rule discovery works with data that is only a sample of the phenomena to be investigated, some resulting rules may appear interesting only by chance. Techniques...
Shiying Huang, Geoffrey I. Webb
USENIX
2007
15 years 8 months ago
Using Provenance to Aid in Personal File Search
As the scope of personal data grows, it becomes increasingly difficult to find what we need when we need it. Desktop search tools provide a potential answer, but most existing too...
Sam Shah, Craig A. N. Soules, Gregory R. Ganger, B...
PAKDD
2009
ACM
225views Data Mining» more  PAKDD 2009»
16 years 3 months ago
Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions.
Detecting changes in spatial datasets is important for many fields. In this paper, we introduce a methodology for change analysis in spatial datasets that combines contouring algor...
Christoph F. Eick, Chun-Sheng Chen, Michael D. Twa...
INFOCOM
2012
IEEE
13 years 8 months ago
NSDMiner: Automated discovery of Network Service Dependencies
—Enterprise networks today host a wide variety of network services, which often depend on each other to provide and support network-based services and applications. Understanding...
Arun Natarajan, Peng Ning, Yao Liu, Sushil Jajodia...