- Tytuł:
- Recursive-rule extraction algorithm with J48graft and applications to generating credit scores
- Autorzy:
-
Tanaka, Y.
Takagi, T.
Saito, T.
Iiduka, H.
Kikuchi, H.
Bologna, G.
Mitra, S. - Powiązania:
- https://bibliotekanauki.pl/articles/91868.pdf
- Data publikacji:
- 2016
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Tematy:
-
Rule Extraction
Credit Scoring
Re-RX algorithm
J48graft - Opis:
- The purpose of this study was to generate more concise rule extraction from the Recursive- Rule Extraction (Re-RX) algorithm by replacing the C4.5 program currently employed in Re-RX with the J48graft algorithm. Experiments were subsequently conducted to determine rules for six different two-class mixed datasets having discrete and continuous attributes and to compare the resulting accuracy, comprehensibility and conciseness. When working with the CARD1, CARD2, CARD3, German, Bene1 and Bene2 datasets, Re-RX with J48graft provided more concise rules than the original Re-RX algorithm. The use of Re-RX with J48graft resulted in 43.2%, 37% and 21% reductions in rules in the case of the German, Bene1 and Bene2 datasets compared to Re-RX. Furthermore, the Re-RX with J48graft showed 8.87% better accuracy than the Re-RX algorithm for the German dataset. These results confirm that the application of Re-RX in conjunction with J48graft has the capacity to facilitate migration from existing data systems toward new concise analytic systems and Big Data.
- Źródło:
-
Journal of Artificial Intelligence and Soft Computing Research; 2016, 6, 1; 35-44
2083-2567
2449-6499 - Pojawia się w:
- Journal of Artificial Intelligence and Soft Computing Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł