Pshenychnyy O. Mathematical and software tools for conjunctive associative dependencies detection in large data volumes

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0413U002466

Thesis Registration Form

0413U002466.pdf

Applicant for

Pshenychnyy Olexandr Yuriyovych

Specialization

01.05.03 - Математичне та програмне забезпечення обчислювальних машин і систем

Date of defense

28-03-2013

Specialized Academic Board

Д 35.052.05

Lviv Polytechnic National University

Essay

This thesis solves a major scientific problem of the mathematical methods research and software tools development for associative dependencies detection in large data volumes in order to increase the quality of decision making support processes. Сonjunctive associative data dependency detection method is developed and implemented. Results of it's applications has shown the effectiveness of the developed method in various branches of science.

Thesis supervisor

Shakhovska Natalya Bogdanivna

Official opponents

Дивак Микола Петрович
Виклюк Ярослав Ігорович

Files

aref.doc

dis.doc

Similar theses

0421U104038

Petrenko Maksym V.

Methods of integration of heterogeneous bibliographic data

0421U104040

Artabaev Yurii Z.

A technique for increasing the accuracy of integrated navigation systems based on predictive models using genetic algorithms.

0421U103593

Zubko Roman Anatoliyovych

Improving methods to increase the time efficiency of fractal image compression

0421U103401

Chystyakova Inna S.

Mapping method between the description logic and the relational data model.

0421U103320

Bielozorova Yana Andriivna

Method of application of wavelet analysis in problems of identification of speech information