Contemporary Perspectives in Data Mining
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- Description
- Contents
- About
The series, Contemporary Perspectives in Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. The series is targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this data by examining the patterns of the data, whether there are associations of groups or things, predictions, sequential relationships between time order events or natural groups. Data mining applications are in business (banking, brokerage, and insurance), marketing (customer relationship, retailing, logistics, and travel), as well as in manufacturing, health care, fraud detection, homeland security and law enforcement.
Chapter 1. A Forecasting Model to Predict the Availability of Staffing, Equipment and Facility Needs for TeleSANE Services; Ronald K. Klimberg, Samuel Ratick, Joan Meunier-Sham, and Randi Petricone
- Chapter 2. The Impact of the Government Subsidy on Product Recycling; Wenxian Zhao, Feng Yang, and Zhimin Huang
- Chapter 3. An Integrated Model to Determine Optimal Two-Dimensional Warranty Policy Parameters; Amit Mitra, Ashish Gupta, Pei Xu, and Kanchan Das
- Chapter 4. Physician’s New Drug Trial and Adoption Intention: Implication and Demand Forecasting for Pharmaceutical Firms; Eddie Rhee and John C. Yi
- Chapter 5. A Multi-Criteria Geographic Information System Screening Approach for Prioritizing Response Activities Following a Chemical, Biological, or Radiological Incident; Julie Blue, Sam Arden, Sam Ratick, Molly Rodgers, Emily Wexler, Emma Rebour, Timothy Boe, and Worth Calfee
- Chapter 6. PSE&G Peer Companies and Operational Variables of Performance and Compensation; Kenneth D. Lawrence and Sheila M. Lawrence
- Chapter 7. Executive Compensation of the United Healthcare Corporation; Kenneth D. Lawrence, Ronald K. Klimberg, and Sheila M. Lawrence
- Chapter 8. An Innovative, Easy-to-Understand “Cone of Uncertainty” Approach to Forecasting; Ronald K. Klimberg and George P. Sillup
Kenneth D. Lawrence is a Professor of Management Science and Business Analytics at the Tuchman School of Management at the New Jersey Institute of Technology, USA.
Ronald K. Klimberg, PhD, is a Professor in the Decision and System Sciences Department of the Haub School of Business at Saint Joseph’s University, USA.