Publication result detail

Comparison of data mining algorithms: Prediction for insurance companies

ŠTĚPÁNKOVÁ, V.; KŘÍŽ, J.

Original Title

Comparison of data mining algorithms: Prediction for insurance companies

English Title

Comparison of data mining algorithms: Prediction for insurance companies

Type

Paper in proceedings (conference paper)

Original Abstract

The case study discusses using of Business Intelligence tools, specifically the MS SQL Server 2012 Data Mining. The case study describes and compares using of various algorithms and also is focused on their using in insurance companies. The paper thus aims at comparing different algorithms on selected types of tasks to achieve more efficient use of Data Mining which ultimately allows gaining a competitive advantage, higher revenues or reducing risks.

English abstract

The case study discusses using of Business Intelligence tools, specifically the MS SQL Server 2012 Data Mining. The case study describes and compares using of various algorithms and also is focused on their using in insurance companies. The paper thus aims at comparing different algorithms on selected types of tasks to achieve more efficient use of Data Mining which ultimately allows gaining a competitive advantage, higher revenues or reducing risks.

Keywords

Algorithms, BI (Business Intelligence), ETL (Extraction, Transformation, Loading), DM (Data Mining)

Key words in English

Algorithms, BI (Business Intelligence), ETL (Extraction, Transformation, Loading), DM (Data Mining)

Authors

ŠTĚPÁNKOVÁ, V.; KŘÍŽ, J.

RIV year

2020

Released

08.05.2015

Publisher

IBIMA

Location

Amsterdam

ISBN

978-0-9860419-4-5

Book

INNOVATION VISION 2020: FROM REGIONAL DEVELOPMENT SUSTAINABILITY TO GLOBAL ECONOMIC GROWTH

Pages from

1782

Pages to

1791

Pages count

10

BibTex

@inproceedings{BUT115294,
  author="Vladěna {Štěpánková} and Jiří {Kříž}",
  title="Comparison of data mining algorithms: Prediction for insurance companies",
  booktitle="INNOVATION VISION 2020: FROM REGIONAL DEVELOPMENT SUSTAINABILITY TO GLOBAL ECONOMIC GROWTH",
  year="2015",
  pages="1782-- 1791",
  publisher="IBIMA",
  address="Amsterdam",
  isbn="978-0-9860419-4-5"
}