From the contents1. A Common Logic Approach to Data Mining and Pattern Recognition (Zakrevskij).- 2. The One Clause at a Time (OCAT) Approach to Data Mining and Knowledge Discovery (Triantaphyllou).- 3. An Incremental Learning Algorithm for Inferring Logical Rules from Examples in the Framework of the Common Reasoning Process (Naidenova).- 4. Discovering Rules That Govern Monotone Phenomena (Torvik, Triantaphyllou).- 5. Learning Logic Formulas and Related Error Distributions (Felici, Sun, Truemper).- 6. Feature Selection for Data Mining (de Angelis, Felici, Mancinelli).- 7. Transformation of Rational and Set Data to Logic Data (Bartnikowski, Granberry, Mugan, Truemper).- 8. Data Farming: Concepts and Methods (Kusiak).- 9. Rule Induction Through Discrete Support Vector Decision Trees (Orsenigo, Vercellis).- 10. Multi-Attribute Decision Trees and Decision Rules (Lee, Olafsson).- 11. Knowledge Acquisition and Uncertainty in Fault Diagnosis: A Rough Sets Perspective (Zhai, Khoo, Fok).- 12. Discovering Knowledge Nuggets with a Genetic Algorithm (Noda, Freitas).
EAN/ISBN : 9780387342962
Publisher(s): Springer, Berlin, Springer US
Discussed keywords: Data Mining, Induktion, Wissensverarbeitung
Format: ePub/PDF

Author(s): Triantaphyllou, Evangelos - Felici, Giovanni