(1929) HOW TO FOLLOW MODERN TRENDS IN COURSES IN “DATABASES” - INTRODUCTION OF DATA MINING TECHNIQUES BY EXAMPLE

摘要

Modern trends in computer systems are associated with the development of high-performance computing and working with databases, with an increasing volume. The vast amount of collected data significantly exceeds human’s ability to effectively benefit from it, without the help of specialized tools for data analysis. Here arises the question how to avoid already known situation “rich in data, but poor in information”. Processing and storage of large amount of data requires a new look and joint implementation of a number of established technologies. A new concept “Data Science” appears, which is associated with retrieving previously unknown knowledge directly from the data through processes of detection and analytical analysis of hypotheses. In response, as well as to build welltrained software professionals, universities introduce a new discipline or a new module in the course called “Databases”, associated with the application of techniques for data analysis. The article presents the experience of the application of Data Mining techniques to extract new patterns on data Courses “Databases and knowledge” in some Bulgarian universities. The main emphasis in this training is the introduction of an adequate algorithm for extracting knowledge through specific task. Its resolving shows how to extract new knowledge, describe the relationship between data properties, data models and others. It is interesting what types of dependencies can be found in the process of extracting data patterns. For this purpose we review different types of tasks - Data Description and Summarization, Cluster analysis, Associative analysis, Outlier detection, Classification and Forecasting, etc. Some problems arising during the training are analyzed. Discussed are opportunities to improve learning results from “Databases” course.