Contemporary Perspectives in Data Mining, Volume 2

A volume in Contemporary Perspectives in Data MiningSeries Editors Kenneth D. Lawrence, New Jersey Institute of Technologyand Ronald K. Klimberg, Saint Joseph's UniversityThe series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarlyresearch methods and applications of data mining. This series will be targeted both at theacademic community, as well as the business practitioner.Data mining seeks to discover knowledge from vast amounts of data with the use of statisticaland mathematical techniques. The knowledge is extracted from this data by examining thepatterns of the data, whether they be associations of groups or things, predictions, sequentialrelationships between time order events or natural groups.Data mining applications are in marketing (customer loyalty, identifying profitable customers, instorepromotions, e-commerce populations); in business (teaching data mining, efficiency of the Chinese automobile industry, moderateasset allocation funds); and techniques (veterinary predictive models, data integrity in the cloud, irregular pattern detection in amobility network and road safety modeling.)