Критерии отклонения распределения случайных величин от нормального в математическом обеспечении программных систем поддержки измерений в образовании
The paper discusses estimation of normality of data collected from educational software. It reviews tests for normality which have discrete approximations and may be directly implemented in program systems. The paper discusses the necessity of these tests to educational data and their place in automation of education. The results of the review are used a base of a test selection algorithm, which can be used in an educational measurement software system.
Creature questions of the mathematical, informational and programming support for the practice network community control are considered. Community mathematical model is proposed. This model utilization as basis for realization of the control system principal functions in the context of the participant interaction improvement and object community regions forming is considered.
Proceeding of the 15th International Conference on Artificial Intelligence: Methodology, Systems, Applications , AIMSA 2012, Varna, Bulgaria, September 12-15, 2012.
The textbook includes texts and tests for preparing and assessing the knowledge of equally school chilldren and students in writing
grammar tests on Russian Grammar.
In this paper the comparative characteristics of the РС ASONIKA-K and PМ of reliability calculations are given.
It is considered development cycles of program systems. Recommendations on the organization of initial processes and the tool means supporting the decision of problems of designing of architecture ПС are given. Keywords: program system, architecture, requirements.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability