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Data Mining and Big Data

Course Code:
14DMB
Academic Degree:
doctoral
Study Programme:
Smart Cities (P0731D010007)
language
czech, english flag
Form of Study:
full-time and part-time
Type of Course:
optional
Course Completion:
exam
Supervisor:
doc. Dr. Ing. Tomáš BRANDEJSKÝ
v DB je chyba..
Supervising Department:
Department of Applied Informatics in Transportation (16114)
Abstract:
• Basic terms as databases, relational database, SQL, Big data • Predictive analytics, Text mining, Data mining • Introduction into basic methods of Big data processing – Hadoop, Spark • Empirical data analysis in Scala, Python, or Java languages • Large data statistical analysis in R* • Large data processing using Deep learning ANN Caffe, TensorFlow • Symbolic regression and development of other kinds of models using genetic programming algorithms • Introduction into data pre-processing, modelling and interpretation of results • PhD student will chose on of above listed approaches with respect to the subject of its PhD study and applies it in seminar work