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Knowledge Mining with ELM System
No full textabstractEN: The problem of knowledge extraction from the data left by web users during their interactions is a very attractive research task. The extracted knowledge can be used for different goals such as service personalization, site structure simplification, web server performance improvement or even for studying the human behavior. We constructed a system, called ELM (Event Logger Manager), able to register and analyze data from different applications. The registered data can be specified in an experiment. ELM provides several knowledge mining algorithms i.e. Apriori, ID3, C4.5. The objective of this paper is to present knowledge mining in data from interactions between user and a simple application conducted with ELM system.score: 0collation: 82-9
Iprovement of immunity on MeV electron radiation of MOS structures by means of ultra-shallow fluorine implantation
No full textscore: 10collation: 1-
Delay Based SWIFI Approach to ABS Dependability Analysis. Chapter 11
No full textscore: 7collation: 147-15
The stiffness of the common cartoid artery in patients with Graves' disease
No full textscore: 20collation: 152-15
Nonlinear section model for analysis of RC circular tower structures weakened by openings
No full textscore: 14collation: 161-17
Advanced predictive control of a distillation column with neural models
No full textscore: 9collation: 121-14
Efficient Nonlinear Predictive Control of a Biochemical Reactor Using Neural Models
No full textscore: 20collation: 301-31
Jet Engine Turbine and Compressor Characteristics Approximation by Means of Artificial Neural Networks
No full textscore: 10collation: 143-15
Suboptimal Nonlinear Predictive Control with MIMO Neural Hammerstein Models
No full textscore: 10collation: 225-23