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| Series Foreword | |
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| Foreword | |
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| Preface | |
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| Acknowledgments | |
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| Introduction to Data Mining | |
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| What is Data Mining? | |
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| Classification Studies (Supervised Learning) | |
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| Clustering Studies (Unsupervised Learning) | |
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| Visualization | |
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| Why Use Data Mining? | |
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| 1.3 How Do You Mine Data? | |
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| Data Preparation | |
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| Defining a Study | |
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| Reading Your Data and Building a Model | |
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| Understanding the Model | |
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| Prediction | |
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| Data Mining Models | |
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| Decision Trees | |
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| Genetic Algorithms | |
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| Neural Nets | |
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| Agent Network Technology | |
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| Hybrid Models | |
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| Statistics | |
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| Data Mining Terminology | |
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| A Note on Privacy Issues | |
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| Summary | |
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| The Data Mining Process | |
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| The Example | |
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| Data Preparation | |
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| Getting at Your Data | |
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| Data Qualification Issues | |
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| Data Quality Issues | |
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| Binning | |
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| Data Derivation | |
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| Defining a Study | |
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| Understanding Limits | |
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| Choosing a Good Study | |
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| Types of Studies | |
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| What Elements to Analyze? Issues of Sampling | |
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| Reading the Data and Building a Model | |
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| Understanding Your Model | |
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| Prediction | |
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| Summary | |
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| The Data Mining Marketplace | |
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| Introduction (Trends) | |
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| Data Mining Vendors | |
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| Visualization | |
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| Examples of Data Visualization | |
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| Vendor List | |
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| Useful Web Sites/Commercially Available Code | |
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| Data Mining Web Sites | |
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| Finding Data Sets | |
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| Source Code | |
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| Data Sources For Mining | |
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| Summary | |
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| A Look at Angoss: KnowledgeSEEKER | |
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| Introduction | |
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| More on Decision Trees | |
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| How Decision Trees Are Being Used | |
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| Data Preparation | |
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| Defining the Study | |
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| Building the Model | |
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| Understanding the Model | |
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| Looking at Different Splits | |
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| Going to a Specific Split | |
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| Growing the Tree | |
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| Forcing a Split | |
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| Validation | |
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| Defining a New Scenario for a Study | |
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| Growing a Tree Automatically | |
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| Data Distribution | |
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| Prediction | |
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| Summary | |
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| A Look at DataMind | |
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| Introduction | |
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| More on Agent Network Technology | |
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| How DataMind is Being Used | |
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| Data Preparation | |
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| Defining the Study | |
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| Read Your Data/Build a Discovery Model | |
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| Understanding the Model | |
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| Model Summary Report | |
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| Scenario Summary Reports | |
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| Discovery Views | |
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| Microsoft Word Report | |
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| Evaluation | |
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| Perform Prediction | |
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| Summary | |
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| A Look at NeuralWorks Predict | |
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| Introduction | |
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| More on Neural Networks | |
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| How Corporate America is Using Neural Nets | |
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| Data Preparation | |
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| Defining the Study | |
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| Starting Up NeuralWorks Predict | |
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| Defining the New Study. | |
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| Building and Training the Model | |
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| Understanding the Model | |
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| Validating the Model | |
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| Prediction | |
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| Summary | |
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| Industry Applications of Data Mining | |
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| Data Mining Applications in Banking and Finance | |
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| Data Mining Applications in Retail | |
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| Data Mining Applications in Healthcare | |
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| Data Mining Applications in Telecommunications | |
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| Summary | |
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| Enabling Data Mining Through Data Warehouses | |
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| Introduction | |
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| A Data Warehouse Example in Banking and Finance | |
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| The Example Data Model | |
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| An Example of a Credit Fraud Study | |
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| An Example of a Retention Management Study | |
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| Data Trends Analysis | |
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| A Data Warehouse Example in Retail | |
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| The Example Data Model | |
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| What Types of Customers are Buying Different Types of Products | |
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| An Example of Regional Studies and Others | |
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| A Data Warehouse Example in Healthcare | |
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| The Example Data Model | |
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| A Look at Example Studies in Healthcare | |
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| A Discussion on Adding Credit Data to Our Example | |
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| A Data Warehouse Example in Telecommunications | |
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| The Example Data Model | |
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| Data Collection | |
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| Creating the Data Set | |
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| An Example Study on Product/Market Share Analysis | |
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| An Example Study of a Regional | |