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Data Mining for Business Applications 2010

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  - electronic edition @ iospress.nl
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  - series/faia/2010-218
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Carlos Soares, Rayid Ghani:
Data Mining for Business Applications. Frontiers in Artificial Intelligence and Applications 218, IOS Press 2010, ISBN 978-1-60750-632-4
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Carlos Soares, Rayid Ghani:
Data Mining for Business Applications: Introduction. 1-14

Part 1. Data Mining Methodology

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  - series/faia/BlumenstockMLKHW10
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Axel Blumenstock, Markus Mueller, Carsten Lanquillon, Steffen Kempe, Jochen Hipp, Rüdiger Wirth:
Interactivity Closes the Gap - Lessons Learned in an Automotive Industry Application. 17-34
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Raul Domingos, Thierry Van de Merckt:
Best Practices for Predictive Analytics in B2B Financial Services. 35-48
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Seppo Puuronen, Mykola Pechenizkiy:
Towards the Generic Framework for Utility Considerations in Data Mining Research. 49-65
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  - series/faia/BruckhausG10
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Tilmann Bruckhaus, William E. Guthrie:
Customer Validation of Commercial Predictive Models. 66-73

Part 2. Data Mining Applications of Today

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Teemu Mutanen, Sami Nousiainen, Jussi Ahola:
Customer churn prediction - a case study in retail banking. 77-83
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Luís Torgo, Carlos Soares:
Resource-bounded Outlier Detection using Clustering Methods. 84-98
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Fátima Rodrigues, Vera Figueiredo, Zita A. Vale:
An Integrated System to Support Electricity Tariff Contract Definition. 99-109
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Aaron Ceglar, Richard Morrall, John F. Roddick:
Mining Medical Administrative Data - The PKB Suite. 110-119

Part 3. Data Mining Applications of Tomorrow

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Markus Breitenbach, Tim Brennan, William Dieterich, Gregory Z. Grudic:
Clustering of Adolescent Criminal Offenders using Psychological and Criminological Profiles. 123-136
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Wolfgang Jank, Galit Shmueli:
Forecasting Online Auctions using Dynamic Models. 137-148
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Peter Z. Yeh, Alex Kass:
A Technology Platform to Enable the Building of Corporate Radar Applications that Mine the Web for Business Insight. 149-163
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  - series/faia/KornerHK0SSSW10
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Christine Körner, Dirk Hecker, Maike Krause-Traudes, Michael May, Simon Scheider, Daniel Schulz, Hendrik Stange, Stefan Wrobel:
Spatial Data Mining in Practice: Principles and Case Studies. 164-178

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