↓ Skip to main content
Altmetric
What is this page?
Embed badge
Share
Share on Twitter
Share on Facebook
Share by email
Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
Overview of attention for book
Table of Contents
Altmetric Badge
Book Overview
Altmetric Badge
Chapter 1
A Common Logic Approach to Data Mining and Pattern Recognition
Altmetric Badge
Chapter 2
The One Clause at a Time (OCAT) Approach to Data Mining and Knowledge Discovery
Altmetric Badge
Chapter 3
An Incremental Learning Algorithm for Inferring Logical Rules from Examples in the Framework of the Common Reasoning Process
Altmetric Badge
Chapter 4
Discovering Rules That Govern Monotone Phenomena
Altmetric Badge
Chapter 5
Learning Logic Formulas and Related Error Distributions
Altmetric Badge
Chapter 6
Feature Selection for Data Mining
Altmetric Badge
Chapter 7
Transformation of Rational Data and Set Data to Logic Data
Altmetric Badge
Chapter 8
Data Farming: Concepts and Methods
Altmetric Badge
Chapter 9
Rule Induction Through Discrete Support Vector Decision Trees
Altmetric Badge
Chapter 10
Multi-Attribute Decision Trees and Decision Rules
Altmetric Badge
Chapter 11
Knowledge Acquisition and Uncertainty in Fault Diagnosis: A Rough Sets Perspective
Altmetric Badge
Chapter 12
Discovering Knowledge Nuggets with a Genetic Algorithm
Altmetric Badge
Chapter 13
Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
Altmetric Badge
Chapter 14
Fuzzy Logic in Discovering Association Rules: An Overview
Altmetric Badge
Chapter 15
Mining Human Interpretable Knowledge with Fuzzy Modeling Methods: An Overview
Altmetric Badge
Chapter 16
Data Mining from Multimedia Patient Records
Altmetric Badge
Chapter 17
Learning to Find Context Based Spelling Errors
Altmetric Badge
Chapter 18
Induction and Inference with Fuzzy Rules for Textual Information Retrieval
Altmetric Badge
Chapter 19
Statistical Rule Induction in the Presence of Prior Information: The Bayesian Record Linkage Problem
Altmetric Badge
Chapter 20
Some Future Trends in Data Mining
Overall attention for this book and its chapters
Altmetric Badge
Mentioned by
syllabi
1
institution with syllabi
wikipedia
1
Wikipedia page
Citations
dimensions_citation
40
Dimensions
Readers on
mendeley
53
Mendeley
Book overview
1. A Common Logic Approach to Data Mining and Pattern Recognition
2. The One Clause at a Time (OCAT) Approach to Data Mining and Knowledge Discovery
3. An Incremental Learning Algorithm for Inferring Logical Rules from Examples in the Framework of the Common Reasoning Process
4. Discovering Rules That Govern Monotone Phenomena
5. Learning Logic Formulas and Related Error Distributions
6. Feature Selection for Data Mining
7. Transformation of Rational Data and Set Data to Logic Data
8. Data Farming: Concepts and Methods
9. Rule Induction Through Discrete Support Vector Decision Trees
10. Multi-Attribute Decision Trees and Decision Rules
11. Knowledge Acquisition and Uncertainty in Fault Diagnosis: A Rough Sets Perspective
12. Discovering Knowledge Nuggets with a Genetic Algorithm
13. Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
14. Fuzzy Logic in Discovering Association Rules: An Overview
15. Mining Human Interpretable Knowledge with Fuzzy Modeling Methods: An Overview
16. Data Mining from Multimedia Patient Records
17. Learning to Find Context Based Spelling Errors
18. Induction and Inference with Fuzzy Rules for Textual Information Retrieval
19. Statistical Rule Induction in the Presence of Prior Information: The Bayesian Record Linkage Problem
20. Some Future Trends in Data Mining
Summary
Syllabi
Wikipedia
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
1
syllabus from an institution on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Old Dominion University
1
Business, Agriculture