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ORCID15. Industrial Conference on Data Mining 2015: Hamburg, Germany
- 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
- Markus Vattulainen:
Improving the Predictive Power of Business Performance Measurement Systems by Constructed Data Quality Features? Five Cases. 3-16 - Hans Friedrich Witschel, Simon Loo, Kaspar Riesen:
How to Support Customer Segmentation with Useful Cluster Descriptions. 17-31 - Emrah Bilgic, Mehmed M. Kantardzic, Ozgur Cakir:
Retail Store Segmentation for Target Marketing. 32-44
Data Mining in Medicine and System Biology
- Rainer Schmidt:
Searching for Biomarkers Indicating a Development of Insulin Dependent Diabetes Mellitus. 47-55 - 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 - Amani Al-Ajlan, Ghada Badr:
Data Mining in Pathway Analysis for Gene Expression. 69-77
Aspects of Data Mining
- William Wu:
Identify Error-Sensitive Patterns by Decision Tree. 81-93 - Jonathan Boidol, Andreas Hapfelmeier, Volker Tresp:
Probabilistic Hoeffding Trees - Sped-Up Convergence and Adaption of Online Trees on Changing Data Streams. 94-108 - Ujjal Kumar Mukherjee, Subhabrata Majumdar, Snigdhansu Chatterjee:
Fast and Robust Supervised Learning in High Dimensions Using the Geometry of the Data. 109-123 - Ivan Kholod, Mikhail Kuprianov, Andrey Shorov:
Constructing Parallel Association Algorithms from Function Blocks. 124-138
Data Mining in Finance
- 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 - Yuri Balasanov, Alexander Doynikov, Victor Lavrent'ev, Leonid Nazarov:
Estimating Risk of Dynamic Trading Strategies from High Frequency Data Flow. 153-165 - Steffen Priesterjahn, Maik Anderka, Timo Klerx, Uwe Mönks:
Generalized ATM Fraud Detection. 166-181
Text and Document Mining
- 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 - Sonja Ansorge, Jana Schmidt:
Visualized Episode Mining with Feature Granularity Selection. 201-215 - Qianru Zheng, Chi-Kong Chan, Horace H. S. Ip:
An Unexpectedness-Augmented Utility Model for Making Serendipitous Recommendation. 216-230
Data Mining in Environment
- Bharat B. Gulyani, J. Alamelu Mangai, Arshia Fathima:
An Approach for Predicting River Water Quality Using Data Mining Technique. 233-243
Adaptive Learning
- Xiaopeng Huang, Kyeong Yang, Victor B. Lawrence:
An Efficient Data Mining Approach to Concept Map Generation for Adaptive Learning. 247-260
Social Media Mining
- Mamadou Diaby, Emmanuel Viennet:
Quantifying the Hidden Factors Impacting the Audience of Advertisements Posted on Facebook. 263-277
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