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 Book 9165)

This book constitutes the refereed proceedings of the 15th Industrial Conference on Advances in Data Mining, ICDM 2015, held in Hamburg, Germany, in July 2015. The 16 revised full papers presented were carefully reviewed and selected from numerous submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture, and in process control, industry and society. Front Matter....Pages I-X Front Matter....Pages 1-1 Improving the Predictive Power of Business Performance Measurement Systems by Constructed Data Quality Features? Five Cases....Pages 3-16 How to Support Customer Segmentation with Useful Cluster Descriptions....Pages 17-31 Retail Store Segmentation for Target Marketing....Pages 32-44 Front Matter....Pages 45-45 Searching for Biomarkers Indicating a Development of Insulin Dependent Diabetes Mellitus....Pages 47-55 Predictive Modeling for End-of-Life Pain Outcome Using Electronic Health Records....Pages 56-68 Data Mining in Pathway Analysis for Gene Expression....Pages 69-77 Front Matter....Pages 79-79 Identify Error-Sensitive Patterns by Decision Tree....Pages 81-93 Probabilistic Hoeffding Trees....Pages 94-108 Fast and Robust Supervised Learning in High Dimensions Using the Geometry of the Data....Pages 109-123 Constructing Parallel Association Algorithms from Function Blocks....Pages 124-138 Front Matter....Pages 139-139 Topic Extraction Analysis for Monetary Policy Minutes of Japan in 2014....Pages 141-152 Estimating Risk of Dynamic Trading Strategies from High Frequency Data Flow....Pages 153-165 Generalized ATM Fraud Detection....Pages 166-181 Front Matter....Pages 183-183 Making Topic Words Distribution More Accurate and Ranking Topic Significance According to the Jensen-Shannon Divergence from Background Topic....Pages 185-200 Visualized Episode Mining with Feature Granularity Selection....Pages 201-215 An Unexpectedness-Augmented Utility Model for Making Serendipitous Recommendation....Pages 216-230 Front Matter....Pages 231-231 An Approach for Predicting River Water Quality Using Data Mining Technique....Pages 233-243 Front Matter....Pages 245-245 An Efficient Data Mining Approach to Concept Map Generation for Adaptive Learning....Pages 247-260 Front Matter....Pages 261-261 Quantifying the Hidden Factors Impacting the Audience of Advertisements Posted on Facebook....Pages 263-277 Back Matter....Pages 279-279 This book constitutes the refereed proceedings of the 13th Industrial Conference on Data Mining, ICDM 2013, held in New York, NY, in July 2013. The 22 revised full papers presented were carefully reviewed and selected from 112 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, finance and telecommunication, in medicine and agriculture, and in process control, industry and society.