This paper is an overview of a Data Mining project carried out by the Warsaw University of Technology in the Network Planning and Maintenance Department of a Polish cellular telecom provider. This project has provided an excellent opportunity to test various Data Mining methods on real, non-classic (i.e. mostly not related to purely marketing problems) data from the technology area. In this pap...

This paper introduces the task of Technology-Structure Mining to support Management of Technology. We propose a linguistic based approach for identification of Technology Interdependence through extraction of technology concepts and relations between them. In addition, we introduce Technology Structure Graph for the task formalization. While the major challenge in technology structure mining is...

Our regulatory institutions, broadly taken, include our moral norms and models and have not fully adapted to significant changes in data mining technology. For example, we suggest that the metaphors — Big Brother and “data mining” itself — commonly used to describe and assess this new technology are deficient, overemphasizing social discipline by the state and the passivity of the so-called dat...

The paper deals with a data mining system FIT-Miner that has been developed at the Faculty of Information Technology of the Brno University of Technology. The system is based on a component approach where the essential functionality is encapsulated in components. A data mining task is specified graphically as a network of interconnected components. This approach makes good maintainability and s...

This paper summarizes experiences and results of productively using knowledge discovery and data mining technology in a large retail bank. We present data mining as part of a greater e ort to develop and deploy an integrated IT-infrastructure for loyalty based customer management, combining data warehousing, and campaign management together with data mining technology. We have completed a rst c...

Using a bibliometric approach, this paper analyzes research trends and forecasts of data mining from 1989 to 2009 by locating heading ‘‘data mining’’ in topic in the SSCI database. The bibliometric analytical technique was used to examine the topic in SSCI journals from 1989 to 2009, we found 1181 articles with data mining. This paper implemented and classified data mining articles using the fo...

Recent advances in computer technology in terms of speed, cost, tremendous amount of computing power and decrease data processing time has spurred increased interest in data mining applications to extract useful knowledge from data. Over the last couple of years, data mining technology has been successfully employed to various business domains and scientific areas. Various data mining technique...

The Internet of Things (IoT) is an emerging topic in today’s era. It has a lot of significance in technology, business, social and engineering fields. This technology provides an easier way of communication of devices with the minimal interaction of human. IoT takes advantage of advancement in network interconnections and computing ability to propose new techniques. Data mining techniques are u...