DATA MINING ON THE INSTALLED BASE INFORMATION - Possibilities and Implementations

Rashid Bakirov, Christian Stich

2011

Abstract

Managing the installed base at customer sites is a key for customer satisfaction. Hereby installed base comprises installed systems and products at customer sites which are currently being serviced by the producer company. The purpose of the present study is developing use cases for data mining on the installed base information of a large manufacturing company and specifically ABB, and constructing data mining models for their implementation. The aim is to use the available information to enhance customer-tailored sales and proactive service. This includes recommendations to customers and failure prediction. The developed models employ association rules mining, classification and regression, realized with the help of data mining tools Oracle Data Mining and Weka. Results have been evaluated using statistical means, as well as discussed with the experts at the company. These results suggest that with the reasonable amount of data, installed base information is a potential source for data mining models useful for business intelligence.

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Paper Citation


in Harvard Style

Bakirov R. and Stich C. (2011). DATA MINING ON THE INSTALLED BASE INFORMATION - Possibilities and Implementations . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-40-9, pages 649-654. DOI: 10.5220/0003186506490654


in Bibtex Style

@conference{icaart11,
author={Rashid Bakirov and Christian Stich},
title={DATA MINING ON THE INSTALLED BASE INFORMATION - Possibilities and Implementations},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2011},
pages={649-654},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003186506490654},
isbn={978-989-8425-40-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - DATA MINING ON THE INSTALLED BASE INFORMATION - Possibilities and Implementations
SN - 978-989-8425-40-9
AU - Bakirov R.
AU - Stich C.
PY - 2011
SP - 649
EP - 654
DO - 10.5220/0003186506490654