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» Benchmarking Data Mining Algorithms
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159
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KDD
1995
ACM
182views Data Mining» more  KDD 1995»
15 years 7 months ago
Accelerated Quantification of Bayesian Networks with Incomplete Data
Probabilistic expert systemsbased on Bayesian networks(BNs)require initial specification both a qualitative graphical structure and quantitative assessmentof conditional probabili...
Bo Thiesson
INFOVIS
2002
IEEE
15 years 8 months ago
A Hybrid Layout Algorithm for Sub-Quadratic Multidimensional Scaling
Many clustering and layout techniques have been used for structuring and visualising complex data. This paper is inspired by a number of such contemporary techniques and presents ...
Alistair Morrison, Greg Ross, Matthew Chalmers
123
Voted
CIS
2004
Springer
15 years 9 months ago
Knowledge Maintenance on Data Streams with Concept Drifting
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
Juggapong Natwichai, Xue Li
190
Voted
BDIM
2008
IEEE
205views Business» more  BDIM 2008»
15 years 10 months ago
Mining semantic relations using NetFlow
—Knowing the dependencies among computing assets and services provides insights into the computing and business landscape, therefore, facilitating low-risk timely changes in supp...
Alexandru Caracas, Andreas Kind, Dieter Gantenbein...
125
Voted
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
15 years 4 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen