Cover image for Managing data mining technologies in organizations techniques and applications
Managing data mining technologies in organizations techniques and applications
Title:
Managing data mining technologies in organizations techniques and applications
Author:
Pendharkar, Parag C., 1968-
ISBN:
9781591400837
Personal Author:
Publication Information:
Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2003.
Physical Description:
electronic texts (x, 288 p. : ill.) : digital files.
Contents:
Bayesian Networks as a Decision Support Tool in Credit Scoring Domain / Witold Abramowicz, Marek Nowak, Joanna Sztykiel -- Frontier Versus Ordinary Regression Models for Data Mining / Marvin D. Troutt, Michael Hu, Murali Shanker, William Acar -- An Evolutionary Misclassification Cost Minimization Approach for Medical Diagnosis / Parag C. Pendharkar, Sudhir Nanda, James A. Rodger, Rahul Bhaskar -- Guiding Knowledge Discovery Through Interactive Data Mining / Aaron Ceglar, John Roddick, Paul Calder -- A Proposed Process for Performing Data Mining Projects / Karim K. Hirji -- Data Mining for Optimal Combination Demand Forecasts / Chi Kin Chan, Heung Wong, Wan Kai Pang, Marvin D. Troutt -- The Myth of Enterprise Database Redesign / David Paper, Kenneth B. Tingey, Wai Yin Mok -- New Information Technologies and Other Pertinent Issues Impacting the Strategic Dimension of CRM for Business Excellence / Sudhakar Kuppuraju, Girish Subramanian -- Utilization of Data Mining Techniques to Detect and Predict Accounting Fraud / James A. Rodger -- A Multidimensional Data Warehouse Development Methodology / Jose Maria Cavero, Carmen Costilla, Esperanza Marcos, Mario G. Piattini, Adolfo Sanchez -- A Telecommunications Model for Managing Complexity of Voice and Data Networks and Services / Bahador Ghahramani -- Combination Forecasts Based on Markov Chain Monte Carlo Estimation of the Mode / Wan Kai Pang, Heung Wong, Chi Kin Chan, Marvin D. Troutt --

Web Mining / Roderick L. Lee -- Connectionist and Evolutionary Models for Learning, Discovering and Forecasting Software Effort / Parag C. Pendharkar, Girish Subramanian.
Abstract:
This book examines data mining research, demonstrating diverse uses of techniques and their applications for data mining. The chapters illustrate applications of data mining and visualization for credit screening, forecasting, medical diagnosis, genetic algorithms, Bayesian networks, neural networks, and many others.
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