This study aimed to determine the effect of various environmental factors on somatic cell count (SCC) in cow’s milk. The material consisted an SCC analysis result obtained from 207.614 raw milk samples collected 65.288 head cattle had different breeds, ages, lactation number, and length between May December 2019. They were raised 6,305 dairy farms that are members Cattle Breeders Association (C...

To the best knowledge of authors, the use of Random forest as a potential technique for residential estate mass appraisal has been attempted for the first time. In the empirical study using data on residential apartments the method performed better than such techniques as CHAID, CART, KNN, multiple regression analysis, Artificial Neural Networks (MLP and RBF) and Boosted Trees. An approach for ...

This paper deals with an overview of predictive modeling approaches adopted by marketers to identify segments in the target market which would have the largest response rates pertaining to a certain product or service being offered. The three approaches in the predictive modeling, which have been discussed are Heuristic approach, Statistical approach and Data Mining approach. However, with refe...

The main goal of this paper is to present and evaluate the possibility of using the methods and tools of Artificial Intelligence and Data Mining to analyze marketing data needed to support decision-making in the process of market segmentation. This paper describes the application of Kohonen’s Neural Networks and Classification Trees (including tools such as CART-Classification and Regression Tr...

Recently, several spectacular bankruptcies, including Fannie Mae, Freddie Mac, Washington Mutual, Merrill Lynch, and Lehman Brothers, have caught the world by surprise. To improve the accuracy of financial distress predictions, this research compares traditional statistical methods (i.e., linear discriminant analysis, logistic regression), decision tree classification methods (i.e., C5.0, CART,...