Big data, data mining, MapReduce, find similar items, distance metrics, clustering, data streams, link analysis, information retrieval, web search, advertising on the web, frequent itemsets, association rules.

Midterm - 25%
Homeworks - 15%
Final project - 30% 
Final exam - 30%

(1) Mining of Massive Datasets, Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman, Stanford University, 2011.

(1) Real-Time Big Data Analytics: Emerging Architecture, Mike Barlow, O’Reilly Media, 2013.
(2) Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners, Jared Dean, Wiley, 2014.
(3) Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data, EMC Education Services, 2015.

•  Big Data mining
•  MapReduce
•  Similar items
•  Distance metrics
•  Clustering
•  Data streams
•  Link analysis
•  Information retrieval
•  Web search
•  Advertising on the web
•  Frequent itemsets
•  Association rules

- The papers reviewed will be published in the last 3 years. 
- The papers will be published in a journal in Q1, Q2 or Q3 quarter.
- The assignment document will be a single file in pdf format and will contain the following documents:
      (1) Document showing the quarter in which the article was published
      (2) Full text of the reviewed article
      (3) Prepared report
- The file name will be in the format DersKodu_StudentNo_HomeworkNo.pdf.