Kenneth D. Lawrence, New Jersey Institute of Technology, USARonald Klimberg, Saint Joseph’s University, USA

• Section I: Marketing Applications.Chapter 1. Data Privacy in Loyalty Programs: An Exploratory Investigation, David Burns and Gregory Smith.Chapter 2. Identifying Profitable Customers Using a Two-Stage Logistic Model: An Application from B2B Credit Card Marketing, Vernon Gerety and Stephan Kudyba.Chapter 3. A Fractional Factorial Analysis for In-Store Promotions, Peter Charette, John Stanton, and Neal Hooker.Chapter 4. Methods for Customer Analytics of Heterogeneous E-Commerce Populations, Ruben Mancha and Mark T. Leung.Section II: Business Applications.Chapter 5. Teaching a Data Mining Course in a Business School, Ronald K. Klimberg.Chapter 6. Measuring the Market Efficiency of Chinese Automobile Industry by Using a Max–Min DEA Model, Feng Yang, Hangting Hu, Chenchen Yang, and Zhimin Huang.Chapter 7. A Clustering Analysis of Five-Star Morning Star Ruled Moderate Asset Allocation Funds, Kenneth D. Lawrence, Gary Kleinman, and Sheila M. Lawrence.Section III: Techniques.Chapter 8. Data Mining Techniques Applied to the Study of Canines with Osteoarthritis: Developing a Predictive Model, Virginia M. Miori.Chapter 9. Data Mining Techniques for Information Assurance and Data Integrity on the Cloud, Alla Kammerdiner.Chapter 10. Multivariate Copulas Model in Spatiotemporal Irregular Pattern Detection in Mobility Network, Rong Duan and Guang-Qin Ma.Chapter 11. Road Safety Detection Modeling Based on Vehicle Monitoring Data in China, Xing Wang, Wei Yuan, Susan X. Li, and Zhimin Huang.About the Editors.

Kenneth D. Lawrence, New Jersey Institute of Technology, USARonald Klimberg, Saint Joseph’s University, USA

• Section I: Marketing Applications.Chapter 1. Data Privacy in Loyalty Programs: An Exploratory Investigation, David Burns and Gregory Smith.Chapter 2. Identifying Profitable Customers Using a Two-Stage Logistic Model: An Application from B2B Credit Card Marketing, Vernon Gerety and Stephan Kudyba.Chapter 3. A Fractional Factorial Analysis for In-Store Promotions, Peter Charette, John Stanton, and Neal Hooker.Chapter 4. Methods for Customer Analytics of Heterogeneous E-Commerce Populations, Ruben Mancha and Mark T. Leung.Section II: Business Applications.Chapter 5. Teaching a Data Mining Course in a Business School, Ronald K. Klimberg.Chapter 6. Measuring the Market Efficiency of Chinese Automobile Industry by Using a Max–Min DEA Model, Feng Yang, Hangting Hu, Chenchen Yang, and Zhimin Huang.Chapter 7. A Clustering Analysis of Five-Star Morning Star Ruled Moderate Asset Allocation Funds, Kenneth D. Lawrence, Gary Kleinman, and Sheila M. Lawrence.Section III: Techniques.Chapter 8. Data Mining Techniques Applied to the Study of Canines with Osteoarthritis: Developing a Predictive Model, Virginia M. Miori.Chapter 9. Data Mining Techniques for Information Assurance and Data Integrity on the Cloud, Alla Kammerdiner.Chapter 10. Multivariate Copulas Model in Spatiotemporal Irregular Pattern Detection in Mobility Network, Rong Duan and Guang-Qin Ma.Chapter 11. Road Safety Detection Modeling Based on Vehicle Monitoring Data in China, Xing Wang, Wei Yuan, Susan X. Li, and Zhimin Huang.About the Editors.

Kenneth D. Lawrence, New Jersey Institute of Technology, USARonald Klimberg, Saint Joseph’s University, USA

• Section I: Marketing Applications.Chapter 1. Data Privacy in Loyalty Programs: An Exploratory Investigation, David Burns and Gregory Smith.Chapter 2. Identifying Profitable Customers Using a Two-Stage Logistic Model: An Application from B2B Credit Card Marketing, Vernon Gerety and Stephan Kudyba.Chapter 3. A Fractional Factorial Analysis for In-Store Promotions, Peter Charette, John Stanton, and Neal Hooker.Chapter 4. Methods for Customer Analytics of Heterogeneous E-Commerce Populations, Ruben Mancha and Mark T. Leung.Section II: Business Applications.Chapter 5. Teaching a Data Mining Course in a Business School, Ronald K. Klimberg.Chapter 6. Measuring the Market Efficiency of Chinese Automobile Industry by Using a Max–Min DEA Model, Feng Yang, Hangting Hu, Chenchen Yang, and Zhimin Huang.Chapter 7. A Clustering Analysis of Five-Star Morning Star Ruled Moderate Asset Allocation Funds, Kenneth D. Lawrence, Gary Kleinman, and Sheila M. Lawrence.Section III: Techniques.Chapter 8. Data Mining Techniques Applied to the Study of Canines with Osteoarthritis: Developing a Predictive Model, Virginia M. Miori.Chapter 9. Data Mining Techniques for Information Assurance and Data Integrity on the Cloud, Alla Kammerdiner.Chapter 10. Multivariate Copulas Model in Spatiotemporal Irregular Pattern Detection in Mobility Network, Rong Duan and Guang-Qin Ma.Chapter 11. Road Safety Detection Modeling Based on Vehicle Monitoring Data in China, Xing Wang, Wei Yuan, Susan X. Li, and Zhimin Huang.About the Editors.