Knowledge Discovery and Data Mining

List of Figures

Chapter 1: Estimating Concept Difficulty with Cross Entropy

Figure 1.1: Concept Dispersion Visualised as a Probability Surface

Chapter 2: Analysing Outliers by Searching for Plausible Hypotheses

Figure 2.1: Onchocerciasis ROC Results
Figure 2.2: Glaucoma ROC Results

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

Figure 3.1: Targeting a Restricted Class of Rules Involves a Trade off between Discovery Effort and Discovery Yield

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

Figure 4.1: Concept Hierarchy for Attribute Job_Title

Chapter 5: A Development Framework for Temporal Data Mining

Figure 5.1: Prototype System Architecture
Figure 5.2: Relation Schemes in Sales Database
Figure 5.3: Algorithm FLTIS
Figure 5.4: Algorithm GTAR

Chapter 6: An Integrated Architecture for OLAP and Data Mining

Figure 6.1: A Star Schema
Figure 6.2: The Feedback Sandwich Model
Figure 6.3: An Integrated Architecture for OLAP and Data Mining

Chapter 7: Empirical Studies of the Knowledge Discovery Approach to Health-Information Analysis

Figure 7.1: The Knowledge-discovery Process
Figure 7.2: Nonvariant Temperature Field
Figure 7.3: Skewed Distribution of Field Values
Figure 7.4: Outlying Data Point
Figure 7.5: Normal Distribution Achieved
Figure 7.6: Data Mapped onto a Kohonen Self-organising Map

Chapter 8: Direct Knowledge Discovery and Interpretation from a Multilayer Perceptron Network which Performs Low-back-pain Classification

Figure 8.1: A Multilayer Perceptron Network
Figure 8.2: Significant Inputs for an Input Case
Figure 8.3: Negated Significant Inputs for an Input Case

Chapter 9: Discovering Knowledge from Low-quality Meteorological Databases

Figure 9.1: Frequency of Missing Values in Initial Database
Figure 9.2:...

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