scholarly journals A New Classification Tree Method with Interaction Detection Capability

2021 ◽  
pp. 107324
Author(s):  
Ahhyoun Kim ◽  
Hyunjoong Kim
Keyword(s):  
Classification Tree ◽  
Detection Capability ◽  
New Classification ◽  
Interaction Detection ◽  
Tree Method

The Generation of Test Case Flow Using Classification Tree Method and Functional Analysis for River Crossing of Wheeled-Vehicle

2014 ◽  
Vol 10 (1) ◽  
pp. 73-80 ◽  
Author(s):  
In Ho Lee ◽  
Cheol Woo Lee ◽  
Tae Woo Park ◽  
Hae Sung Nam ◽  
Ho Sin Kang ◽  
...  
Keyword(s):  
Functional Analysis ◽  
Classification Tree ◽  
Test Case ◽  
Wheeled Vehicle ◽  
Tree Method

Quantitative structure-affinity relationship of 5-HT1Areceptor ligands by the classification tree method

2008 ◽  
Vol 19 (3-4) ◽  
pp. 213-244 ◽  
Author(s):  
V.E. Kuz’min ◽  
P.G. Polischuk ◽  
A.G. Artemenko ◽  
S.Yu. Makan ◽  
S.A. Andronati
Keyword(s):  
Classification Tree ◽  
Quantitative Structure ◽  
Relationship Of ◽  
Tree Method

1201 EXTERNAL VALIDATION AND CREATION OF A NEW CLASSIFICATION TREE FOR THE PREDICTION OF BENIGN VERSUS MALIGNANT DISEASE IN PATIENTS WITH SMALL RENAL MASSES

2013 ◽  
Vol 189 (4S) ◽  
Author(s):  
Michael Organ ◽  
Michael Jewett ◽  
Ashraf Almatar ◽  
Henry Ajzenberg ◽  
Mohamed Abdolell ◽  
...  
Keyword(s):  
Malignant Disease ◽  
Classification Tree ◽  
External Validation ◽  
New Classification ◽  
Small Renal Masses ◽  
Renal Masses

scholarly journals Going green in logistics: The case of small and medium-sized enterprises in Poland

2021 ◽  
Vol 43 ◽  
pp. 56-73
Author(s):  
Krzysztof Zowada ◽  
◽  
◽  
Keyword(s):  
Supply Chain ◽  
Natural Environment ◽  
Direct Relationship ◽  
Classification Tree ◽  
Green Logistics ◽  
Value Contribution ◽  
Starting Point ◽  
Research Findings ◽  
Research Gap ◽  
Tree Method

Aim/purpose–The aim of the paper is to identify the features of ‘green’ small and medium-sized enterprises operating in Poland.Design/methodology/approach –The paper is based on a quantitative approach and a group of 200 small and medium-sized enterprises operating in Poland were examined. The classification tree method was used to analyze the data gathered.Findings–The ‘green’ small and medium-sized enterprises operating in Poland were characterized and their important features were identified, e.g., belonging to the TFL (Transport Forwarding Logistics) sector and a direct relationship with the supply chain leader. In the case of enterprises from the TFL sector, their area of activity is a natural environment for the development of ‘green logistics’ practices.In turn, the supply chain leader usually pushes for specific solutions aimed at achieving the assumed goals, in-cluding environmental goals.Research implications/limitations–The research results enable the identification pro-cess of small and medium-sized enterprises interested in implementing the ‘green logis-tics’ concept and, consequently, their support. Nevertheless, small and medium-sized enterprises operating in Poland were the only examined, thus the research findings can-not be generalized for other countries. However, the paper could be a starting point for comparative analyses on an international scale.Originality/value/contribution–The development of ‘green logistics’ among small and medium-sized enterprises in Poland is still not recognized by researchers. The paper is a valuable addition to this research gap Keywords:green logistics, SME, classification tree. JEL Classification:L21, M20, Q50

APPLICATION OF CLASSIFICATION TREE METHOD ON SEGMENTATION OF CORPORATE CLIENTS IN THE INDUSTRIAL MARKET

2016 ◽  
Vol 4 (1) ◽  
pp. 47-53
Author(s):  
Наталья Изакова ◽  
Natalya Izakova ◽  
Лариса Капустина ◽  
Larisa Kapustina
Keyword(s):  
Social Science ◽  
Classification Tree ◽  
Industrial Market ◽  
The Social ◽  
Tree Method ◽  
Corporate Clients

Рассматривается возможность применения статистического анализа методом деревьев классификации при сегментировании корпоративных клиентов на промышленных рынках как наиболее универсальный и информативный метод. Проанализированы основные теоретические подходы к использованию методов статистического анализа с целью сегментирования рынков. Приведены результаты сегментирования рынка профилей из поливинилхлорида для изготовления оконных и дверных блоков методом де- ревьев классификации с помощью программного комплекса Statistical Package for the Social Science. Дана характеристика профиля целевого сегмента крупных корпоративных клиентов. Разработаны рекомендации по формированию маркетинговой программы для работы с потребителями данного сегмента.

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