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Titlebook: Knowledge-Based Software Engineering; 11th Joint Conferenc Alla Kravets,Maxim Shcherbakov,Tadashi Iijima Conference proceedings 2014 Spring

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Adaptive Testing Model and Algorithms for Learning Management Systemudent’s knowledge and skills in specific subject domain purposefully and consider the different ability levels. Developed adaptive testing model and algorithms are applied for testing the basic knowledge and skill gaps in subject domain of variables declaration in C programming language.
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Intelligent Decision Support System for River Floodplain Managementel is formally represented by the OWL DL ontology. For this model we give the descriptions of case retrieval, adaptation and revising algorithms. Designed and implemented CBR-based IDSS for river floodplain management uses object-oriented analysis and Java2 technology.
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1865-0929 lgograd, Russia, in September 2014. The 59 full and 3 short papers presented were carefully reviewed and selected from 197 submissions. The papers are organized in topical sections on methodology and tools for knowledge discovery and data mining; methods and tools for software engineering education;
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Mastering Programming Skills with the Use of Adaptive Learning Gamesoach to reinforce and improve the students’ abilities in the concepts of programming. We present a platform whereby instructional content and methods are customized to individual students to guide/facilitate learning and mastering of programming concepts.
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Topological Structure for Building Ontology of Energy-Information Method Circuitss in this paper. This approach enables to prove the existence of formalized solution of the problem of synthesis of energy-information method circuits. Informal presentation of topo-logical space as pseudo cell complex, allows us to consider intra chain and inter chain physical differences as insignificant, and distinguish the class of problems.
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