This course covers the current technologies, tools, architectures and systems used in Big Data, covering analytical data production, storage, management, transfer, in-depth analysis of incoming big data. provides a coverage area for data processing solutions in high-performance networks. Examines emerging big data applications in various fields, and tests widely used big data applications, including application and development issues. It will also focus on data mining and machine learning algorithms to analyze big data.

Data warehouse, Introduction to data mining, Classification with decision trees, K-Nearest neighbor classification, Clustering and Hierarchical clustering, Non-hierarchical clustering, Support vector machines, Bayes theorem and classification, Classification and Clustering, Using their approaches together, Association rules and Apriori algorithm, Text Mining, Social Network Analysis with Data Mining, Web Mining.