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  • The Development of a Program System for Classification and Clustering of Numeric and Text Data in Formats xls and accdb

The Development of a Program System for Classification and Clustering of Numeric and Text Data in Formats xls and accdb

Student: Shumshurova Natalya

Supervisor: Yuriy Leokhin

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

Educational Programme: Information Science and Computation Technology (Bachelor)

Final Grade: 8

Year of Graduation: 2017

The topic of the graduate qualifying paper is "Development of software for classification of the numerical and textual data in the XLS and ACCDB formats". The graduate qualifying paper solves the problem of the development of software for classification and clusterization of the data loaded from a file containing the initial data in the XLS and ACCDB formats and a dependence diagram is written to a PDF file. Analysis of the existing solutions with similar capabilities was carried out. Data classification and clusterization methods, the architecture by means of which the developed system was organized and also the software by means of which the set problems were solved were chosen. The result of the paper is a system being an application allowing to process textual and numerical data by means of classification and clusterization algorithms and also presenting the result of these algorithms in a graphic and table form. Explanatory note to this work contains 56 pages. It provides 35 illustrations and 2 tables. 21 information sources were used in this paper.

Full text (added May 15, 2017)

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