Flylib.com
List of Tables
Previous page
Table of content
< Day Day Up >
Chapter 1: Bayesian Networks as a Decision Support Tool in Credit Scoring Domain
Table 1: Probability table P(<Customer Category>)
Table 2: Probability table P(<Customer Category >|<Debit>)
Table 3: Stages of credit granting process
Table 4: Areas of enterprise analysis
Table 5: The scoring table for the "profitability" area (normative point scale)
Table 6: The scoring tables for the rest of the objective factors areas
Table 7: Subjective factors, scoring tables
Table 8: The score corresponding to the class of the economic-financial position
Table 9: The score corresponding to the class of the economic-financial position and the previous credit performance
Table 10: Example-The score corresponding to factors
Table 11: The total score corresponding to qualitative and quantitative factors
Table 12: Conditional probability distributions in "quality of management" node
Table 13: The factors considered in Bayesian network structure of credit scoring system
Chapter 3: An Evolutionary Misclassification Cost Minimization Approach for Medical Diagnosis
Table 1: Results of tests of difference in means for training and holdout samples
Table 2: Results of tests in training and holdout samples of heart disease data
Table 3: Results for tests in training and holdout samples for BUPA data set
Chapter 4: Guiding Knowledge Discovery Through Interactive Data Mining
Table 1: Textual presentation of clustering algorithm results
Table 2: Layered interaction model (Nielson, 1992)
Chapter 5: A Proposed Process for Performing Data Mining Projects
Table 1: Mapping observed activities to straw man
Chapter 6: Data Mining for Optimal Combination Demand Forecasts
Table 1: Summary statistics of the 26 items
Table 2: The alternative forecasting methods in each procedure
Table 3a: Forecasting results for sample A of 8 items
Table 3b: Forecasting results for sample B of 2 items
Table 4a: Results for common forecasting methods for sample A items
Table 4b: Results for common forecasting methods for sample B items
Table 5: F-statistics and comparisons of forecast error variances
Table 6: Results for common weights and forecasting method
Table 7: Summary of results
Table 8: A comparison of ARl and seasonal AR1 for the 10 items
Table 9: Summary of results if Holt-Winters method replaces Holt's method
Chapter 9: Utilization of Data Mining Techniques to Detect and Predict Accounting Fraud: A Comparison of Neural Networks and Discriminant Analysis
Table 1: Predicted group membership
Table 2: Percent good parts of neural net testing
Chapter 12: Combination Forecasts Based on Markov Chain Monte Carlo Estimation of the Mode
Table 1: Results for case 1 simulation study
Table 2: Results for case 2 simulation study
Table 3: Autocorrelation coefficients of arrival series
Table 4: Results of individual forecast method
Table 5: Results of combination forecast methods
Table 6: RMSE values of all the forecasting methods
Chapter 14: Connectionist and Evolutionary Models for Learning, Discovering and Forecasting Software Effort
Table 1: A few major software project failures in US and in UK
Table 2: Performance of three different structural designs during the training phase
Table 3: Performance of three different networks during the test phase
Table 4: Pair-wise comparison (t-test) results for difference in means for actual and predicted software effort
Table 5: Pair-wise comparison (t-test) results for difference in means for actual and predicted software effort
< Day Day Up >
Previous page
Table of content
Managing Data Mining Technologies in Organizations: Techniques and Applications
ISBN: 1591400570
EAN: 2147483647
Year: 2003
Pages: 174
Authors:
Parag Pendharkar
BUY ON AMAZON
Project Management JumpStart
Breaking Down the Project Activities
Assessing Risk
Developing the Project Plan
Controlling the Project Outcome
Closing the Books
Agile Project Management: Creating Innovative Products (2nd Edition)
Phase: Speculate
Practice: Release, Milestone, and Iteration Plan
Practice: Low-Cost Change
Phase: Adapt
Phase: Close
SQL Tips & Techniques (Miscellaneous)
Understanding SQL Basics and Creating Database Files
Working with Queries, Expressions, and Aggregate Functions
Working with Functions, Parameters, and Data Types
Working with SQL JOIN Statements and Other Multiple-table Queries
Working with SQL Database Data Across the Internet
A+ Fast Pass
Domain 4 Motherboard/Processors/Memory
Domain 6 Basic Networking
Domain 2 Installation, Configuration, and Upgrading
Domain 3 Diagnosing and Troubleshooting
Domain 4 Networks
After Effects and Photoshop: Animation and Production Effects for DV and Film, Second Edition
3-D Layers from Photoshop Layers
Exaggeration Equals Characterization
Matte and Keying Plug-ins
Static Matte Painting in Photoshop
Making Movies from Stills
Web Systems Design and Online Consumer Behavior
Chapter II Information Search on the Internet: A Causal Model
Chapter VI Web Site Quality and Usability in E-Commerce
Chapter VIII Personalization Systems and Their Deployment as Web Site Interface Design Decisions
Chapter XII Web Design and E-Commerce
Chapter XVII Internet Markets and E-Loyalty
flylib.com © 2008-2017.
If you may any questions please contact us: flylib@qtcs.net
Privacy policy
This website uses cookies. Click
here
to find out more.
Accept cookies