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ORCIDData Mining for Business Applications 2010
- 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 - Carlos Soares
, Rayid Ghani:
Data Mining for Business Applications: Introduction. 1-14
Part 1. Data Mining Methodology
- 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 - Raul Domingos, Thierry Van de Merckt:
Best Practices for Predictive Analytics in B2B Financial Services. 35-48 - Seppo Puuronen, Mykola Pechenizkiy:
Towards the Generic Framework for Utility Considerations in Data Mining Research. 49-65 - Tilmann Bruckhaus, William E. Guthrie:
Customer Validation of Commercial Predictive Models. 66-73
Part 2. Data Mining Applications of Today
- Teemu Mutanen, Sami Nousiainen, Jussi Ahola:
Customer churn prediction - a case study in retail banking. 77-83 - Luís Torgo, Carlos Soares:
Resource-bounded Outlier Detection using Clustering Methods. 84-98 - Fátima Rodrigues, Vera Figueiredo, Zita A. Vale:
An Integrated System to Support Electricity Tariff Contract Definition. 99-109 - Aaron Ceglar, Richard Morrall, John F. Roddick:
Mining Medical Administrative Data - The PKB Suite. 110-119
Part 3. Data Mining Applications of Tomorrow
- Markus Breitenbach, Tim Brennan, William Dieterich, Gregory Z. Grudic:
Clustering of Adolescent Criminal Offenders using Psychological and Criminological Profiles. 123-136 - Wolfgang Jank, Galit Shmueli:
Forecasting Online Auctions using Dynamic Models. 137-148 - 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 - 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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