FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4229691083> ?p ?o ?g. }

• W4229691083 endingPage "1874" @default.
• W4229691083 startingPage "1838" @default.
• W4229691083 abstract "Credit scoring has become a very important issue due to the recent growth of the credit industry. As the first objective, this chapter provides an academic database of literature between and proposes a classification scheme to classify the articles. The second objective of this chapter is to suggest the employing of the Optimally Weighted Fuzzy K-Nearest Neighbor (OWFKNN) algorithm for credit scoring. To show the performance of this method, two real world datasets from UCI database are used. In classification task, the empirical results demonstrate that the OWFKNN outperforms the conventional KNN and fuzzy KNN methods and also other methods. In the predictive accuracy of probability of default, the OWFKNN also show the best performance among the other methods. The results in this chapter suggest that the OWFKNN approach is mostly effective in estimating default probabilities and is a promising method to the fields of classification." @default.
• W4229691083 created "2022-05-11" @default.
• W4229691083 creator A5012167583 @default.
• W4229691083 creator A5043491715 @default.
• W4229691083 creator A5054474613 @default.
• W4229691083 date "2018-01-01" @default.
• W4229691083 modified "2023-09-24" @default.
• W4229691083 title "Default Probability Prediction of Credit Applicants Using a New Fuzzy KNN Method With Optimal Weights" @default.
• W4229691083 cites W1499972675 @default.
• W4229691083 cites W1550395065 @default.
• W4229691083 cites W1607604777 @default.
• W4229691083 cites W1964074981 @default.
• W4229691083 cites W1965723621 @default.
• W4229691083 cites W1966528570 @default.
• W4229691083 cites W1968023063 @default.
• W4229691083 cites W1971746503 @default.
• W4229691083 cites W1972828498 @default.
• W4229691083 cites W1973704036 @default.
• W4229691083 cites W1974458659 @default.
• W4229691083 cites W1980770954 @default.
• W4229691083 cites W1981093066 @default.
• W4229691083 cites W1982542799 @default.
• W4229691083 cites W1985546543 @default.
• W4229691083 cites W1986935903 @default.
• W4229691083 cites W1989243818 @default.
• W4229691083 cites W1990113270 @default.
• W4229691083 cites W1991573943 @default.
• W4229691083 cites W1991808165 @default.
• W4229691083 cites W1992958333 @default.
• W4229691083 cites W1993922907 @default.
• W4229691083 cites W1995705912 @default.
• W4229691083 cites W1995953281 @default.
• W4229691083 cites W1998056225 @default.
• W4229691083 cites W1998452394 @default.
• W4229691083 cites W1999946446 @default.
• W4229691083 cites W2000656248 @default.
• W4229691083 cites W2001619934 @default.
• W4229691083 cites W2003119650 @default.
• W4229691083 cites W2003494763 @default.
• W4229691083 cites W2007838263 @default.
• W4229691083 cites W2017733151 @default.
• W4229691083 cites W2018233779 @default.
• W4229691083 cites W2019046182 @default.
• W4229691083 cites W2020261731 @default.
• W4229691083 cites W2022647375 @default.
• W4229691083 cites W2028465564 @default.
• W4229691083 cites W2030284903 @default.
• W4229691083 cites W2030743469 @default.
• W4229691083 cites W2035491076 @default.
• W4229691083 cites W2038295678 @default.
• W4229691083 cites W2040693730 @default.
• W4229691083 cites W2040895929 @default.
• W4229691083 cites W2041844120 @default.
• W4229691083 cites W2045657836 @default.
• W4229691083 cites W2048793796 @default.
• W4229691083 cites W2050420817 @default.
• W4229691083 cites W2051455168 @default.
• W4229691083 cites W2051731935 @default.
• W4229691083 cites W2052462336 @default.
• W4229691083 cites W2057125921 @default.
• W4229691083 cites W2059693241 @default.
• W4229691083 cites W2060462435 @default.
• W4229691083 cites W2060747287 @default.
• W4229691083 cites W2060778375 @default.
• W4229691083 cites W2063960053 @default.
• W4229691083 cites W2065080511 @default.
• W4229691083 cites W2070181735 @default.
• W4229691083 cites W2070376383 @default.
• W4229691083 cites W2071914327 @default.
• W4229691083 cites W2076310205 @default.
• W4229691083 cites W2079492342 @default.
• W4229691083 cites W2081463795 @default.
• W4229691083 cites W2085226635 @default.
• W4229691083 cites W2085373553 @default.
• W4229691083 cites W2085573882 @default.
• W4229691083 cites W2085831731 @default.
• W4229691083 cites W2085988980 @default.
• W4229691083 cites W2088048599 @default.
• W4229691083 cites W2089811952 @default.
• W4229691083 cites W2092768810 @default.
• W4229691083 cites W2093829413 @default.
• W4229691083 cites W2098738227 @default.
• W4229691083 cites W2100666894 @default.
• W4229691083 cites W2103780778 @default.
• W4229691083 cites W2104313230 @default.
• W4229691083 cites W2105210673 @default.
• W4229691083 cites W2107282997 @default.
• W4229691083 cites W2109327009 @default.
• W4229691083 cites W2122111042 @default.
• W4229691083 cites W2123428109 @default.
• W4229691083 cites W2124532504 @default.
• W4229691083 cites W2127894279 @default.
• W4229691083 cites W2130141359 @default.
• W4229691083 cites W2131219216 @default.
• W4229691083 cites W2140023821 @default.
• W4229691083 cites W2145576157 @default.
• W4229691083 cites W2154649623 @default.
• W4229691083 cites W2156799400 @default.

• next