Pregled bibliografske jedinice broj: 1095219
Case-Based Reasoning: A Hybrid Classification Model Improved with an Expert's Knowledge for High-Dimensional Problems
Case-Based Reasoning: A Hybrid Classification Model Improved with an Expert's Knowledge for High-Dimensional Problems, 2016. doi:10.5281/zenodo.1125399 (članak).
CROSBI ID: 1095219 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Case-Based Reasoning: A Hybrid Classification
Model Improved with an Expert's Knowledge for
High-Dimensional Problems
Autori
Trstenjak Bruno ; Donko, Dzenana
Izvornik
WASET International Journal of Scientific Research and Innovative Technology 10, 1184-1190
Vrsta, podvrsta
Ostale vrste radova, članak
Godina
2016
Ključne riječi
classification ; Case based reasoning ; Hybrid Model ; expert's knowledge
Sažetak
Data mining and classification of objects is the process of data analysis, using various machine learning techniques, which is used today in various fields of research. This paper presents a concept of hybrid classification model improved with the expert knowledge. The hybrid model in its algorithm has integrated several machine learning techniques (Information Gain, K-means, and Case-Based Reasoning) and the expert’s knowledge into one. The knowledge of experts is used to determine the importance of features. The paper presents the model algorithm and the results of the case study in which the emphasis was put on achieving the maximum classification accuracy without reducing the number of features.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
