Analytical Tools For Finding Useful Information In Large Data Sets

Author: magda tsintsadze
Co-authors: Manana Khachidze, Maia Archuadze, Gela Besiashvili
Keywords: Analytical Tools, Information processing, big data, databases
Annotation:

In the “Era” of Information (21 century) the problem of “qualified” information retrieval erises. Extremly popular database driven web sites and search engines are providing unormous quantity of relevant information but to define what is the information one can trust and use stays still. So the problem of data processing, classification and analysis is quite of bit of an interest. Very large (Petabytes, exabytes – Big data) databases (No Sql) dealing with sets of unstructured or semi-structured data (mostry form web) are used to produce valuable information. Business intelligence, including both technology and management tryies to deal with this issue providing tools like Data warehouses / Data marts, Hadoop, In-memory computing, Analytical platforms. In the work provided we will be discussing both relational and non-relational tools optimized for large datasets (OLAP,Data Mining, Text Mining), we will specially underline the role of web mining and connection of web and the databases in aspects of modern challenges.

Lecture files:

დიდი მოცულობის მონაცემებში საჭირო ინფორმაციის ძებნის ანალიტიკური ინსტრუმენტები [ka]
Analytical Tools For Finding Useful Information In Large Data Sets [en]