scholarly journals Fathers’ Predominance in Transport Arrangements for Family Tourism: E-Chaid-Based Profiling in East Asia

2021 ◽  
Vol 23 (4) ◽  
pp. G13-G24
Author(s):  
Yi-Fang Lan ◽  
Che-Jen Su
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
East Asian ◽  
Primary Source ◽  
Automatic Identification ◽  
Relative Importance ◽  
Chi Square ◽  
Decision Tree Method ◽  
Mining Model ◽  
Tree Method

In decisions about transportation for family vacations, the distribution of the decision-making role between fathers and other family members is subject to characteristics of the society, the travel and the household. Therefore, the purpose of this study is to present a data-mining model that identifies the relative importance of those determining characteristics in predicting the probability of the father’s predominance in transportation decisions for family vacations. By investigating cases across four East Asian societies and using exhaustive chi-square automatic identification detector analysis, it was found that the primary source of the family’s income was the strongest predictor of the father-determined likelihood of decisions about vacation transportation. The results also suggested that the decision tree method is appropriate for targeting the father-predominant market of transportation in cross-societal contexts.

scholarly journals C4.5 Classification Data Mining for Inventory Control

2018 ◽  
Vol 7 (2.3) ◽  
pp. 68 ◽  
Author(s):  
Robbi Rahim ◽  
Ilka Zufria ◽  
Nuning Kurniasih ◽  
Muhammad Yasin Simargolang ◽  
Abdurrozzaq Hasibuan ◽  
...  
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Decision Tree ◽  
Large Data ◽  
Production Costs ◽  
Traffic Data ◽  
Tree Form ◽  
Minimal Error ◽  
Decision Tree Method ◽  
Tree Method

Data Mining is a process of exploring against large data to find patterns in decision making. One of the techniques in decision-making is classification. Classification is a technique in data mining by applying decision tree method to form data, algorithm C4.5 is algorithm that can be used to classify data in tree form. The system has been built that shows the results of good performance and minimal error in view of the system that is able to distinguish the anomaly traffic with normal traffic. Data mining inventory system applications can facilitate the control of inventory in the company to reduce production costs. 

Data Mining for ERW Welded Tube Scheduling Rules Based on Decision Tree

2011 ◽  
Vol 403-408 ◽  
pp. 1804-1807
Author(s):  
Ning Zhao ◽  
Shao Hua Dong ◽  
Qing Tian
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Arc Welding ◽  
Data Cleaning ◽  
Data Extraction ◽  
Electric Arc ◽  
Welded Tube ◽  
Electric Arc Welding ◽  
Decision Tree Method ◽  
Tree Method

In order to optimize electric- arc welding （ERW） welded tube scheduling , the paper introduces data cleaning, data extraction and transformation in detail and defines the datasets of sample attribute, which is based on analysis of production process of ERW welded tube. Furthermore, Decision-Tree method is adopted to achieve data mining and summarize scheduling rules which are validated by an example.

scholarly journals Decision trees in environmental justice research — a case study on the floods of 2001 and 2010 in Hungary

2019 ◽  
Vol 11 (1) ◽  
pp. 1025-1034 ◽  
Author(s):  
Gyula Nagy ◽  
György Vida ◽  
Lajos Boros ◽  
Danijela Ćirić
Keyword(s):  
Decision Making ◽  
Decision Tree ◽  
Environmental Justice ◽  
Social Groups ◽  
Principal Component ◽  
Decision Making Processes ◽  
Main Factors ◽  
Decision Tree Method ◽  
Tree Method

Abstract Environmental justice is a normative framework for the analysis of environmental impacts on the wellbeing of individuals and social groups. According to the framework, the deprived social groups and ethnic minorities are often more exposed to environmental risks and hazards due to their disadvantaged situation, and due to the lack of representation and political power. To manage the impacts of injustices and to include the citizen in the decision-making processes, proper information is needed on local attitudes and decision-making processes. Therefore, this study sought to (i) identify the main factors shaping the attitudes towards environmental injustices and (ii) to analyse the attitudes and perception of the various social groups and (iii) to identify the main factors which are shaping the attitudes and actions of those who were affected by the floods of 2001 and 2010 through the use of decision tree method. The data for the predictive model was acquired from a questionnaire survey conducted in two disadvantaged and flood-hit Hungarian regions. Based on the survey data, a principal component analysis (PCA) was conducted, which resulted in three principal components; fear, social change, and change in the built environment. The study focused only on the elements of the “fear principal component”, due to the decision tree tool homogenous groups identified in relation to this component. Our analysis showed that ethnicity has a determinative role in the emergence and the level of fear from floods; the Roma respondents expressed a significantly higher level of fear than others.

Animal Husbandry Decision Tree Data Mining Applications in Intelligent System

2014 ◽  
Vol 926-930 ◽  
pp. 2529-2532
Author(s):  
Shu Yan Wu ◽  
Hui Ling Wu ◽  
Tai Yu Liu ◽  
Xian Yu Cui
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Theoretical Basis ◽  
Animal Husbandry ◽  
Specific Work ◽  
Decision System ◽  
Intelligent Decision ◽  
Decision Tree Method ◽  
Tree Method ◽  
Intelligent Decision System

In this paper, the research based on decision tree-based methods can be customized to achieve a common data analysis system for animal husbandry intelligent decision support, conducted the following study: First, detail the current data mining techniques and animal husbandry areas where the decision tree method for various applications, purpose, content and methods. Secondly, the theoretical basis of the data mining system, basic theory and the theory of decision tree methods of animal husbandry intelligent decision system, which constitute the theoretical basis of the study. Third, given the detailed design of common animal husbandry intelligent decision system based decision tree method. Detailed descript of the specific work processes and systems function modules of the system on the line division. To complete the design of the database based on the completion of the system design.

scholarly journals Simulasi Prakiraan Dan Klasifikasi Hujan Wilayah Kota jakarta dengan Metode Decision Tree

2021 ◽  
Vol 4 (1) ◽  
pp. 27
Author(s):  
Arif Ega Prakosa ◽  
Ahmad Fawaid ◽  
Irkhas Nusantara ◽  
Faisal Amri ◽  
Aries Saifudin
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Natural Occurrence ◽  
Decision Tree Method ◽  
Tree Method

Rain is a natural occurrence that occurs in the hydrological and climatic circulation. Based on the ups and downs of the hydrological circulation, one of the sources of water is rain. rain is very useful in life, because rain can meet the needs of water for living creatures. However, rain can also cause floods. A flood tragedy can cause loss and casualties. Then our activities are checking the forecast simulation forecast and rain classification using the accurate decision tree method. We take forecast and classification data because the weather in DKI Jakarta is currently very difficult to predict. Next, we use a decision tree for data mining with a dataset spanning 5 years from 2011-2015. The problem here is the weather in DKI Jakarta which is very difficult to predict.

scholarly journals Common Metamodel of Questionnaire Model and Decision Tree Model

2018 ◽  
Vol 10 (3) ◽  
pp. 106
Author(s):  
Mirza Suljic ◽  
Edin Osmanbegovic ◽  
Željko Dobrović
Keyword(s):  
Decision Making ◽  
Decision Tree ◽  
Decision Trees ◽  
Decision Tree Model ◽  
Tree Model ◽  
Meta Model ◽  
The Subject ◽  
Decision Tree Method ◽  
Questionnaire Method ◽  
Tree Method

The subject of this paper is metamodeling and its application in the field of scientific research. The main goal is to explore the possibilities of integration of two methods: questionnaires and decision trees. The questionnaire method was established as one of the methods for data collecting, while the decision tree method represents an alternative way of presenting and analyzing decision making situations. These two methods are not completely independent, but on the contrary, there is a strong natural bond between them. Therefore, the result reveals a common meta-model that over common concepts and with the use of metamodeling connects the methods: questionnaires and decision trees. The obtained results can be used to create a CASE tool or create repository that can be suitable for exchange between different systems. The proposed meta-model is not necessarily the final product. It could be further developed by adding more entities that will keep some other data.

scholarly journals Impact of structure on organisational performance of selected technical and service firms in Nigeria

2015 ◽  
Vol 13 (1) ◽  
pp. 1278-1284
Author(s):  
Ann I. Ogbo ◽  
Nwankwere F. Chibueze ◽  
Orga C. Christopher ◽  
Igwe A. Anthony
Keyword(s):  
Decision Making ◽  
Organizational Performance ◽  
Task Assignment ◽  
Primary Source ◽  
Service Firms ◽  
Span Of Control ◽  
Chi Square ◽  
Regional Office ◽  
Secondary Sources ◽  
The Impact

The study aimed at establishing the impact of structure on organizational performance. Organizations today are becoming more automated and complex, hence, the need to maintain and improve performance by structuring and restructuring based on changing strategy. The study was conducted using the survey approach. The geographical scope of study was Innoson Nigeria Ltd, and Etisalat, Enugu Regional Office. Two sources of data were utilised in the study: they included primary and secondary sources. The primary source was the administration of copies of designed questionnaire to a total of eighty (80) respondents that made up the sample for the study. Out of the eighty (80) copies administered, seventy eight (78) were completed and returned. Simple percentage (%), chi-square (*a) and correlation were used in analysis of the data and in testing the three hypotheses. Findings revealed that decentralization enhanced better and more informed decision making in technical and service firms in Nigeria; that task routine affected staff productivity both positively and negatively; and that a significant positive relationship existed between narrow span of control and efficiency in organizations. The study concluded and recommended among others that managers of organizations should adopt more decentralized forms of structures as means of improving the decision making process; that managers should combine both task routine and variety in organizing employees for carrying out task in order to reap the advantages of both systems of task assignment; and that employees should be empowered to be more innovative in carrying out tasks, whether routine or not.

The Pruning Strategy of Decision Tree of SMT Assembling Quality Control Based on Data Mining

2011 ◽  
Vol 204-210 ◽  
pp. 704-707
Author(s):  
Hua Jiang ◽  
Tong Lai Liu ◽  
Han Lei He
Keyword(s):  
Data Mining ◽  
Quality Control ◽  
Decision Tree ◽  
Data Warehouse ◽  
Decision Support Model ◽  
Pruning Strategy ◽  
Effective Decision ◽  
Decision Tree Method ◽  
Effective Decision Making ◽  
Tree Method

Based on the establishment of data warehouse of the decision support model of the SMT assembling quality control, this paper relies its basis on the SLIQ algorithm of the decision tree method of data mining, improves the pruning strategy and conducts a useful exploration on how to form more effective decision-making basis of the quality control system of SMT assembling in order to improve the accuracy and predictability of decision analysis.

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