Knowledge Discovery and Data Mining

List of Tables

Chapter 1: Estimating Concept Difficulty with Cross Entropy

Table 1.1: Exclusive-OR Over Two Binary Attributes
Table 1.2: Exclusive-OR Over Two Binary Attributes with y 3 Irrelevant
Table 1.3: Contiguous Examples for y 1 ? Y 2
Table 1.4: Addition of an Irrelevant Attribute (y 3) Results in Nonneighbouring Examples Becoming Contiguous
Table 1.5: ? j Values for Various Data Sets
Table 1.6: 1-rule and C4.5 Error Rate Differences
Table 1.7: A Typical Type-2 Problem, Requiring Reformulation of Primitive Attributes
Table 1.8: ? j and Values for Various Data Sets

Chapter 2: Analysing Outliers by Searching for Plausible Hypotheses

Table 2.1: Diagnostic Groups

Chapter 3: Attribute-value Distribution as a Technique for Increasing the Efficiency of Data Mining

Table 3.1: Conditional Probabilities of Attribute Values in the Contact-lens Data [8]
Table 3.2: Attribute-value Partitions of the Contact-lens Data Based on the ? Heuristic
Table 3.3: Attribute-value Partitions of the Contact-lens Data Based on the ? Heuristic
Table 3.4: Comparison of Exhaustive Rule Discovery and Rule Discovery by AVD Based on the ? and ? Heuristics in the Contact-lens Data
Table 3.5: Comparison of Exhaustive Rule Discovery and Rule Discovery by AVD Based on the ? Heuristic in the Project-outcome Dataset

Chapter 4: Using Background Knowledge with Attribute-Oriented Data Mining

Table 4.1: A Partial-Value Relation: Employee (m - male, f - female; Salary in Pounds)
Table 4.2: Eview a Partial-Value Relation
Table 4.3: Raw Table before Reengineering
Table 4.4: Mask Table
Table 4.5: Reengineered Table
Table...

UNLIMITED FREE
ACCESS
TO THE WORLD'S BEST IDEAS

SUBMIT
Already a GlobalSpec user? Log in.

This is embarrasing...

An error occurred while processing the form. Please try again in a few minutes.

Customize Your GlobalSpec Experience

Category: Cylindrical Lenses
Finish!
Privacy Policy

This is embarrasing...

An error occurred while processing the form. Please try again in a few minutes.