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Title Details:
Knowledge mining methods
Authors: Stalidis, Georgios
Kardaras, Dimitrios
Reviewer: Diamantaras, Konstantinos
Subject: MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INFORMATION MANAGEMENT
MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INFORMATION MANAGEMENT > DATA MINING
MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INTELLIGENT SYSTEMS > BASIC KNOWLEDGE REPRESENTATION AND REASONING
Keywords:
Knowledge Extraction
Business Intelligence
Data Analytics
Marketing Information Systems
Description:
Abstract:
In this chapter, the main techniques for knowledge extraction from data are presented, such as association rule mining, decision trees, clustering and methods for decision making, as well as methods based on fuzzy logic. For all methods, elements of their theoretical foundations are given and they are presented with paradigms and figures, so that the reader understands them qualitatively and comprehends their application fields , their potential and weaknesses, as well as their adjustment parameters. The aim is to guide the reader to select the most suitable methods for solving business intelligence problems.
Table of Contents:
Chapter 6. Methods for knowledge extraction from data
1. Introduction to intelligent methods for decision making

2. Analytic Hierarchy process

3. Fuzzy logic and analytic hierarchy process
3.1. Introduction to the principles of fuzzy logic
3.2. Fuzzy Analytic Hierarchy Process (FAHP)

4. Similarity methods

5. Clustering with Equivalence Matrix

6. Rule mining methods
6.1. Association rule mining
6.1.1 Mining of frequent itemsets
6.1.2. Rule formation
6.2. Classification with Decision Trees
6.2.1. Definition of Decision Tree
6.2.2. The function of decision tree as a classification model
6.2.3. Basic types of Decision Trees
6.2.4. Tree construction

7. Conclusions
Graphic Editors: Triantafillou, Sotirios
Type: Chapter
Creation Date: 2015
Item Details:
License: http://creativecommons.org/licenses/by-nc-nd/3.0/gr
Handle http://hdl.handle.net/11419/1167
Bibliographic Reference: Stalidis, G., & Kardaras, D. (2015). Knowledge mining methods [Chapter]. In Stalidis, G., & Kardaras, D. 2015. Data Management and Business Intelligence [Undergraduate textbook]. Kallipos, Open Academic Editions. chapter 6. http://hdl.handle.net/11419/1167
Language: Greek
Is Part of: Data Management and Business Intelligence
Publication Origin: Kallipos, Open Academic Editions