Махалова Татьяна Павловна Индексы интересности замкнутых описаний в задачах анализа данных и обнаружения знаний

brief description

Махалова Татьяна Павловна Индексы интересности замкнутых описаний в задачах анализа данных и обнаружения знаний
ОГЛАВЛЕНИЕ ДИССЕРТАЦИИ
кандидат наук Махалова Татьяна Павловна
Содержание

Introduction

1 Basic Definitions

1.1 Formal Concept Analysis

1.2 Pattern Structures and Projections

1.2.1 Pattern Structures on Graphs

1.2.2 Interval Pattern Structures

1.2.3 Projections

1.3 Basics of Information Theory. Minimum Description Length Principle in Pattern Mining

2 Main results

2.1 Static Approaches

2.1.1 Systematisation of Interestingness Measures

2.1.2 Generic Approach to Combination (Adapting Arbitrary Indices for Closed Itemset Assessment)

2.1.3 Experimental Evaluation of Interestingness Measures

2.2 Interestingness Measures for Information Retrieval

2.3 Dynamic Approaches

2.3.1 Combining Static and Dynamic Approaches to Pattern Mining

2.3.2 Numerical Pattern Mining Through Compression

3 Conclusion 33 References 34 Appendices 38 A Article "On Interestingness Measures of Formal Concepts" 38 B Article "Information Retrieval Chatbots Based on Conceptual Models" 57 C Article "MDL for FCA: is there a Place for Background Knowledge?" 67 D Article "Numerical Pattern Mining Through Compression"