Big Data Analytics and Machine Learning in Finance

Overview and Application


Seminar Paper, 2018

38 Pages, Grade: 1,3


Excerpt


Inhaltsverzeichnis

1 Einleitung

2 Big Data Analytics und Machine Learning
2.1 Funktionsweise der Big Data Analytics
2.2 Machine Learning - Methoden und Funktion
2.2.1 Supervised Learning
2.2.2 Unsupervised Learning
2.2.3 Dimensionalitätsreduktion
2.2.4 Reinforcement Learning
2.2.5 Deep Learning
2.3 Anwendungsgebiete im Bereich Finance
2.3.1 Handelsstrategien
2.3.2 Kreditscoring
2.3.3 Betrugserkennung
2.3.4 Machine Learning in der praktischen Anwendung

3 Empirische Anwendung von Machine Learning zur Betrugserkennung
3.1 Datensatz
3.2 Vorgehensweise
3.3 Ergebnisse und Interpretation

4 Schluss

A Anhang A

B Anhang B

Symbolverzeichnis

Abkürzungsverzeichnis

Tabellenverzeichnis

Literatur

Excerpt out of 38 pages

Details

Title
Big Data Analytics and Machine Learning in Finance
Subtitle
Overview and Application
College
University of Regensburg
Grade
1,3
Author
Year
2018
Pages
38
Catalog Number
V491316
ISBN (eBook)
9783668981188
ISBN (Book)
9783668981195
Language
German
Keywords
Big Data, Machine Learning, Logistische Regression, Entscheidungsbaum, Finance
Quote paper
Miriam Wastl (Author), 2018, Big Data Analytics and Machine Learning in Finance, Munich, GRIN Verlag, https://www.grin.com/document/491316

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