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  • Methods and Instruments of Standardizing the Addresses of Trade Points when Designing Informationally-Analytical System for Wholesale

Methods and Instruments of Standardizing the Addresses of Trade Points when Designing Informationally-Analytical System for Wholesale

Student: Kravchenko Vadim

Supervisor: Boris Pozin

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Computer Systems and Networks (Master)

Final Grade: 8

Year of Graduation: 2017

Annotation The theme of final work of Kravchenko V.E. is the «Methods and instruments of standardizing the addresses of trade points when designing informationally-analytical system for wholesale». The structure of the work is presented by 6 chapters, 16 paragraphs, conclusion, list of reference. In the final work, there are 14 pictures and 12 sources of literature. The total number pages of the work - 65. This topic is relevant in connection with the fact that work on the quality of data used in business processes of enterprises is everywhere, but existing solutions do not allow it to be conducted in any convenient place for the user. In addition, competing solutions are too complex to be used even on personal computers. And you do not have to talk about learning. Problems solved during the course of work: 1. Development of data processing methods. 2. Development of an intelligent learning tool for improving data processing algorithms. 3. Creation of a software tool for mobile devices that implements the implementation of the developed methods. In the final qualifying work, the process of development of the algorithm for data quality control is described in detail, which implements the method of expert verification of the quality of data processing developed during the work. The created mobile application, in turn, shows the possibility of successful application of the above described method on portable devices and in the absence of an Internet connection. And in the case of an Internet connection, a learning module is included in the processing, leading its own dictionary of errors and corrections in the original data.

Full text (added May 15, 2017)

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