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Advanced Course on Artificial Intelligence

ACAI 1999: Machine Learning and Its Applications pp 295–299Cite as

Data Mining in Economics, Finance, and Marketing

Part of the Lecture Notes in Computer Science book series (LNAI,volume 2049)

Abstract

Data Mining has become a buzzword in industry in recent years. It is something that everyone is talking about but few seem to understand. There are two reasons for this lack of understanding: First is the fact that Data Mining researchers have very diverse backgrounds such as machine learning, psychology and statistics. This means that the research is often based on different methodologies and communication links e.g. notation is often unique to a particular research area which hampers the exchange of ideas and the dissemination to the wider public. The second reason for the lack of understanding is that the main ideas behind Data Mining are often completely opposite to mainstream statistics and as many companies interested in Data Mining already employ statisticians, such a change of view can create opposition.

Keywords

  • Data Mining
  • Mobile Agent
  • Data Mining Problem
  • Data Mining Research
  • Mobile Agent Technology

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Initiative Consulting, London, SW1V 1PX, UK

    Hans C. Jessen

  2. Inst. of Informatics and Telecommunications, NCSR “Demokritos”, 15310, Athens, Greece

    Georgios Paliouras

Authors
  1. Hans C. Jessen
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  2. Georgios Paliouras
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Editor information

Editors and Affiliations

  1. National Centre for Scientific Research “Demokritos”, Institute of Informatics and Telecommunications, P.O. Box 60228, Ag. Paraskevi, 15310, Athens, Greece

    Georgios Paliouras, Vangelis Karkaletsis & Constantine D. Spyropoulos,  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Jessen, H.C., Paliouras, G. (2001). Data Mining in Economics, Finance, and Marketing. In: Paliouras, G., Karkaletsis, V., Spyropoulos, C.D. (eds) Machine Learning and Its Applications. ACAI 1999. Lecture Notes in Computer Science(), vol 2049. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44673-7_18

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  • DOI: https://doi.org/10.1007/3-540-44673-7_18

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