Industrial Conference on Data Mining 2015 (original) (raw)

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15. Industrial Conference on Data Mining 2015: Hamburg, Germany

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  • Business Intelligence and Customer Relationship Management
  • Data Mining in Medicine and System Biology
  • Aspects of Data Mining
  • Data Mining in Finance
  • Text and Document Mining
  • Data Mining in Environment
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    Petra Perner:
    Advances in Data Mining: Applications and Theoretical Aspects - 15th Industrial Conference, ICDM 2015, Hamburg, Germany, July 11-24, 2015, Proceedings. Lecture Notes in Computer Science 9165, Springer 2015, ISBN 978-3-319-20909-8

Business Intelligence and Customer Relationship Management

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    Markus Vattulainen:
    Improving the Predictive Power of Business Performance Measurement Systems by Constructed Data Quality Features? Five Cases. 3-16
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    Hans Friedrich Witschel, Simon Loo, Kaspar Riesen:
    How to Support Customer Segmentation with Useful Cluster Descriptions. 17-31
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    Emrah Bilgic, Mehmed M. Kantardzic, Ozgur Cakir:
    Retail Store Segmentation for Target Marketing. 32-44

Data Mining in Medicine and System Biology

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    Rainer Schmidt:
    Searching for Biomarkers Indicating a Development of Insulin Dependent Diabetes Mellitus. 47-55
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    Muhammad Kamran Lodhi, Janet Stifter, Yingwei Yao, Rashid Ansari, Gail M. Keenan, Diana J. Wilkie, Ashfaq A. Khokhar:
    Predictive Modeling for End-of-Life Pain Outcome Using Electronic Health Records. 56-68
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    Amani Al-Ajlan, Ghada Badr:
    Data Mining in Pathway Analysis for Gene Expression. 69-77

Aspects of Data Mining

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    William Wu:
    Identify Error-Sensitive Patterns by Decision Tree. 81-93
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    Jonathan Boidol, Andreas Hapfelmeier, Volker Tresp:
    Probabilistic Hoeffding Trees - Sped-Up Convergence and Adaption of Online Trees on Changing Data Streams. 94-108
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    Ujjal Kumar Mukherjee, Subhabrata Majumdar, Snigdhansu Chatterjee:
    Fast and Robust Supervised Learning in High Dimensions Using the Geometry of the Data. 109-123
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    Ivan Kholod, Mikhail Kuprianov, Andrey Shorov:
    Constructing Parallel Association Algorithms from Function Blocks. 124-138

Data Mining in Finance

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    Yukari Shirota, Takako Hashimoto, Tamaki Sakura:
    Topic Extraction Analysis for Monetary Policy Minutes of Japan in 2014 - Effects of the Consumption Tax Hike in April. 141-152
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    Yuri Balasanov, Alexander Doynikov, Victor Lavrent'ev, Leonid Nazarov:
    Estimating Risk of Dynamic Trading Strategies from High Frequency Data Flow. 153-165
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    Steffen Priesterjahn, Maik Anderka, Timo Klerx, Uwe Mönks:
    Generalized ATM Fraud Detection. 166-181

Text and Document Mining

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    Iwao Fujino, Yuko Hoshino:
    Making Topic Words Distribution More Accurate and Ranking Topic Significance According to the Jensen-Shannon Divergence from Background Topic. 185-200
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    Sonja Ansorge, Jana Schmidt:
    Visualized Episode Mining with Feature Granularity Selection. 201-215
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    Qianru Zheng, Chi-Kong Chan, Horace H. S. Ip:
    An Unexpectedness-Augmented Utility Model for Making Serendipitous Recommendation. 216-230

Data Mining in Environment

Adaptive Learning

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    Xiaopeng Huang, Kyeong Yang, Victor B. Lawrence:
    An Efficient Data Mining Approach to Concept Map Generation for Adaptive Learning. 247-260

Social Media Mining

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    Mamadou Diaby, Emmanuel Viennet:
    Quantifying the Hidden Factors Impacting the Audience of Advertisements Posted on Facebook. 263-277

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