Home | english  | Impressum | Sitemap | KIT

Big Data Mining in Business and Finance (MA)

Big Data Mining in Business and Finance (MA)
Typ: Seminar (S)
Lehrstuhl: ECON, Ökonometrie und Statistik
Semester: SS 2017
Zeit:

Blockveranstaltung
Termine nach Vereinbarung

Beginn: auf Ankünd. auf Homepage achten
Dozent:

Nazemi

SWS: 2
LVNr.: 2520363
Prüfung:

Erfolgskontrolle: Vortrag, schriftliche Ausarbeitung

Hinweis:

Sprache: Englisch

Inhalt:

Introduction to Big Data Mining
Networks in finance
Big Data Mining Tools
Fraud Detection with Hadoop
Text Mining for Market Prediction
Financial Network and Contagion
Credit Scoring using Social Network Data
Social Network Analysis for consumer churn prediction
Big Data Mining in Finance
Big Data Mining in Business

Literatur

Baesens, B., (2014). Analytics in a Big Data World: The Essential Guide to Data Science and its Applications, Wiley.
Chen, M., Mao, S., Zhang, Z., Leung, V., (2014). Big Data: Related Technologies, Challenges and Future Prospects, Springer.
Jackson, M. O., (2010). Social and Economic Networks, Princeton University Press.
Leskovec, J., Rajaraman, A., Ullman, J. D., (2014). Mining of Massive Datasets, Cambridge University Press.
Prajapati, V., (2013). Big Data Analytics with R and Hadoop, Packt Publishing

Registration via E-mail abdolreza.nazemi@kit.edu

Deadline: 20 May 2017