Data Mining Research by Iryna Ivchenko
Preprint: Data Mining: A Taxonomic Framework — Chapter 5: Supervised Learning Methods Stabilarity Hub Research Series | DOI: 10.5281/zenodo.XXXXXX (pending) Supervised learning represents the most mature and commercially deployed branch of machine learning, yet the field lacks a unified taxonomic framework — creating confusion and hindering cross-pollination of ideas. By Iryna Ivchenko, Data Mining &…
By Iryna Ivchenko, Data Mining & Analytics Researcher | Stabilarity Hub | February 2026 Part II: Taxonomy of Data Mining Methods — Chapter 4 of 20 Annotation The proliferation of data mining techniques over the past three decades has created an urgent need for systematic organization and classification of methodological approaches. This chapter establishes a…
Chapter 2: Evolution of Data Mining Techniques (1960s-2000s) By Iryna Ivchenko, Data Mining & Analytics Researcher | Stabilarity Hub | 2026-02-11 Table of Contents Annotation Introduction Problem Statement Literature Review Goal of Research Research Content Identified Gaps Suggestions Experiments & Results Conclusions References 1. Annotation This chapter chronicles the remarkable metamorphosis of data mining techniques…
Chapter 3: The Modern Era — Big Data and Intelligent Mining (2000s-Present) By Iryna Ivchenko, Data Mining & Analytics Researcher | Stabilarity Hub | 2026-02-11 Table of Contents Annotation Introduction Problem Statement Literature Review Goal of Research Research Content Identified Gaps Suggestions Experiments & Results Conclusions References 1. Annotation This chapter chronicles the revolutionary transformation…
Chapter 1: The Genesis of Data Mining — From Statistics to Discovery By Iryna Ivchenko, Data Mining & Analytics Researcher | Stabilarity Hub | 2026-02-11 Table of Contents Annotation Introduction Problem Statement Literature Review Goal of Research Research Content Identified Gaps Suggestions Experiments & Results Conclusions References 1. Annotation This chapter traces the fascinating journey…