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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Boston, MA :
Springer US,
2006.
|
| Σειρά: | Massive Computing,
6 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
