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 they be associations of groups or things, predictions, sequential relationships between time order events or natural groups.
Data mining applications are in finance (banking, brokerage, and insurance), marketing (customer relationships, retailing, logistics, and travel), as well as in manufacturing, health care, fraud detection, homeland security, and law enforcement.
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 they be associations of groups or things, predictions, sequential relationships between time order events or natural groups.
Data mining applications are in finance (banking, brokerage, and insurance), marketing (customer relationships, retailing, logistics, and travel), as well as in manufacturing, health care, fraud detection, homeland security, and law enforcement.

Contemporary Perspectives in Data Mining
170
Contemporary Perspectives in Data Mining
170Product Details
ISBN-13: | 9781641130554 |
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Publisher: | Information Age Publishing, Inc. |
Publication date: | 09/26/2017 |
Series: | Contemporary Perspectives in Data Mining , #3 |
Pages: | 170 |
Product dimensions: | 6.14(w) x 9.21(h) x 0.44(d) |