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Contemporary Perspectives in Data Mining, Volume 3

Buch | Hardcover
168 Seiten
2017
Information Age Publishing (Verlag)
978-1-64113-055-4 (ISBN)
CHF 147,95 inkl. MwSt
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Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series is targeted both at the academic community, as well as the business practitioner.
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 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.

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

SECTION I: PREDICTIVE ANALYTICS. Bootstrap Aggregation for Neural Network Forecasting of Supply Chain Order Quantity
Combining Retrospective and Predictive Analytics for More Robust Decision Support
Predictive Analytical Model of the CEO Compensation of Major U.S. Corporate Insurance Companies
SECTION II: BUSINESS APPLICATIONS.
Analyzing Operational and Financial Performance of U.S. Hospitals Using Two-Stage Production Process
Digital Disruption: How E-Commerce Is Changing the Grocery Game
The Hazards of Subgroup Analysis in Randomized Business Experiments and How to Avoid Them
Business Intelligence Challenges for Small and Medium-Sized Business: Leveraging Existing Resources
SECTION III: TOPICS IN DATA MINING. Data Mining Techniques Applied to Outcome Analysis and Validation for the Futures Drug and Alcohol Rehabilitation Center
An Extended H-Index: A New Method to Evaluate Scientists’ Impact
Why We Need Analytics Grand Rounds
About the Editors.

Erscheinungsdatum
Reihe/Serie Contemporary Perspectives in Data Mining
Verlagsort Greenwich
Sprache englisch
Maße 156 x 234 mm
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Wirtschaft Betriebswirtschaft / Management Finanzierung
ISBN-10 1-64113-055-5 / 1641130555
ISBN-13 978-1-64113-055-4 / 9781641130554
Zustand Neuware
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