The series, Contemporary Perspectives on Data Mining, is composed of blind
refereed scholarly research methods and applications of data mining. This series
will be 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 form this data by examining the patterns of the data, whether they be
associations of groups or things, predictions, sequential relationships between time order events or natural
groups.
Data mining applications are seen in finance (banking, brokerage, insurance), marketing (customer relationships,
retailing, logistics, travel), as well as in manufacturing, health care, fraud detection, home-land security, and law
enforcement.