Detail publikačního výsledku

Comparison of data mining algorithms: Prediction for insurance companies

ŠTĚPÁNKOVÁ, V.; KŘÍŽ, J.

Originální název

Comparison of data mining algorithms: Prediction for insurance companies

Anglický název

Comparison of data mining algorithms: Prediction for insurance companies

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

ŠTĚPÁNKOVÁ, V.; KŘÍŽ, J.

Rok RIV

2020

Vydáno

08.05.2015

Nakladatel

IBIMA

Místo

Amsterdam

ISBN

978-0-9860419-4-5

Kniha

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

Strany od

1782

Strany do

1791

Strany počet

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"
}