a. Data mining – concepts and techniques 3 rd edition (Jiawei Han
Micheline Kamber Jian Pei)

b. Mining massive datasets (Jure Leskovec, Anand Rajaraman, Jeff Ullman)

c. Introduction to data mining (Pang-Ning-Tan)

d. MDX Solutions, 2nd Edition (Sivakumar Harinath, George Spofford, ...)

0. Skupovi podataka (c)

1. Data warehousing, HybridOLAP, MDX (a, d)

2. Prepocesiranje podataka (c)

3. Asocijativna analiza osnovno i napredni alg (a, b)

4. finding similar itemsets (b)

5. mining data streams (b)

6. Klasterizacija (c, b)

7. Google PageRank (b)

8. Advertizing on the Web (b)

9. Social networks (b)

10. Recommendation systems (b)

35 kolokvijum + 35 kolokvijum, usmeno
30 bodova projekat, usmeno
pravo da brane projekat imaju studenti koji su na 
prvom kolokvijumu osvojili >17 i na drugom kolokvijumu
osvojili >17 poena.