ΕΘΝΙΚΟ ΜΕΤΣΟΒΙΟ ΠΟΛΥΤΕΧΝΕΙΟ | ΜΕΤΑΠΤΥΧΙΑΚΟ ΠΡΟΓΡΑΜΜΑ ΣΠΟΥΔΩΝ | ΕΠΙΣΤΗΜΗ ΔΕΔΟΜΕΝΩΝ ΚΑΙ ΜΗΧΑΝΙΚΗ ΜΑΘΗΣΗ

Data Mining

Description

In this course we make an introduction into data-driven methods and technologies that are used for retrieving, storing, querying and analyzing data, be it structured or unstructured. In particular, this course will delve into the following subjects: 
    • Relational Model. 
    • The SQL language. 
    • Relational Database Management Systems (RDBMSs). 
    • Introduction to Query Processing in RDBMSs. 
    • Introduction to Data Integration. Schema Matching and Schema Mapping. 
    • Data Preprocessing: Data Quality, Data Cleaning, Data Integration, Data Reduction, Data Transformation and Data Discretization. 
    • Introduction to Data Warehouses and On-line Analytical Processing (OLAP). Schemas, Data Cubes, cube materialization. 
    • Introduction to Big Data, the MapReduce programming model, Hadoop, HDFS. 
 

Semester
Winter Semester
Category
Obligatory
Lecture Hours
2 hours
Lab Hours
1 hour
Credits
5