(PRINCIPLES OF DATA MINING)
CdSINFORMATICA
Codice335AA
CFU6
PeriodoPrimo semestre
LinguaInglese
| Moduli | Settore/i | Tipo | Ore | Docente/i | |
| DATA MINING: FONDAMENTI | INF/01 | LEZIONI | 48 |
|
… a new kind of professional has emerged, the data scientist, who combines the skills of software programmer, statistician and storyteller/artist to extract the nuggets of gold hidden under mountains of data. Hal Varian, Google’s chief economist, predicts that the job of statistician will become the “sexiest” around. Data, he explains, are widely available; what is scarce is the ability to extract wisdom from them. Data, data everywhere. The Economist, Special Report on Big Data, Feb. 2010. The student develops basic capacities of data analytics and mining, and mastering the knowledge discovery process from various kinds of data.
Methods:
- Final oral exam
- Final laboratory practical demonstration
- Laboratory report
Delivery: face to face
Learning activities:
- attending lectures
- preparation of oral/written report
- individual study
- group work
Attendance: Advised
Teaching methods:
- Lectures
- Task-based learning/problem-based learning/inquiry-based learning
- project work
Fundamentals of the knowledge discovery process Explorative Data Analysis Visual analytics Fundamental data mining techniques: patterns and rules, clustering, classification thical issues of data mining, responsibility of the data scientist, and privacy
Pang-Ning Tan, Michael Steinbach, Vipin Kumar. Introduction to Data Mining. Addison Wesley, ISBN 0-321-32136-7, 2006 http://www-users.cs.umn.edu/~kumar/dmbook/index.php See course wiki at http://didawiki.cli.di.unipi.it/doku.php/dm/start