Επιχειρηματική ευφυία και τεχνικές εξόρυξης γνώσης : οι λύσεις που παρέχονται από τα SSAS
Master Thesis
Author
Παπαοικονόμου, Εμμανουήλ Χ.
Date
2011-03-10View/ Open
Subject
Business intelligence ; Επιχειρηματικός προγραμματισμός -- Πληροφοριακά συστήματα ; Εξόρυξη δεδομένωνAbstract
In this work we will present the concept of Business Intelligence (Business Intelligence - BI), the information needed for the usage of BI in an organization, the solutions offered by Microsoft and the relationship between BI and Data Mining. The main data mining techniques will be presented and the basic operational problems that can be solved using these techniques. We will show the BI solutions offered by Microsoft through the Analysis Services (SSAS) of SQL Server (2005/2008); more specifically we will show the main characteristics of the basic data mining algorithms that can be implemented from SSAS platform (Decision Trees, Clustering, Association Rules), the parameters utilizing each algorithm and the DMX commands that can be used to implement them. Finally, we will present the development process of an application using Data Mining models through the Business Intelligence Development Studio (BIDS) and SQL Server’s SSAS using the CRISP-DM Data Mining project development methodology.