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Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
This book will give the reader a perspective into the core theory and practice of data mining and knowledge discovery (DM&KD). Its chapters combine many theoretical foundations for various DM&KD methods, and they present a rich array of examples-many of which are drawn from real-life applica...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2006.
|
| Edición: | 1st ed. 2006. |
| Colección: | Massive Computing,
6 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- A Common Logic Approach to Data Mining and Pattern Recognition
- The One Clause at a Time (OCAT) Approach to Data Mining and Knowledge Discovery
- An Incremental Learning Algorithm for Inferring Logical Rules from Examples in the Framework of the Common Reasoning Process
- Discovering Rules That Govern Monotone Phenomena
- Learning Logic Formulas and Related Error Distributions
- Feature Selection for Data Mining
- Transformation of Rational Data and Set Data to Logic Data
- Data Farming: Concepts and Methods
- Rule Induction Through Discrete Support Vector Decision Trees
- Multi-Attribute Decision Trees and Decision Rules
- Knowledge Acquisition and Uncertainty in Fault Diagnosis: A Rough Sets Perspective
- Discovering Knowledge Nuggets with a Genetic Algorithm
- Diversity Mechanisms in Pitt-Style Evolutionary Classifier Systems
- Fuzzy Logic in Discovering Association Rules: An Overview
- Mining Human Interpretable Knowledge with Fuzzy Modeling Methods: An Overview
- Data Mining from Multimedia Patient Records
- Learning to Find Context Based Spelling Errors
- Induction and Inference with Fuzzy Rules for Textual Information Retrieval
- Statistical Rule Induction in the Presence of Prior Information: The Bayesian Record Linkage Problem
- Some Future Trends in Data Mining.