Method and system for using cause analysis of boosted decision stock to identify and respond to non-benign behaviors

• 1. 用于使用针对增强型决策树桩的因果分析来识别和响应非良性行为的方法和系统 [P] . 中国专利： CN107567628B . 2019.07.12
• 2. 用于使用针对增强型决策树桩的因果分析来识别和响应非良性行为的方法和系统 [P] . 中国专利： CN107567628A . 2018-01-09
• 3. METHODS AND SYSTEMS FOR USING CAUSAL ANALYSIS FOR BOOSTED DECISION STUMPS TO IDENTIFY AND RESPOND TO NON-BENIGN BEHAVIORS [P] . 欧洲知识产权局专利： EP3292503A1 . 2018-03-14

  机译： 使用因果决策残差的因果分析来识别和响应非良性行为的方法和系统

• 4. Methods and systems for using causal analysis for boosted decision stumps to identify and respond to non-benign behaviors [P] . 美国专利： US9578049B2 . 2017-02-21

  机译： 使用因果分析来增强决策树桩以识别和响应非良性行为的方法和系统

• 5. METHODS AND SYSTEMS FOR USING CAUSAL ANALYSIS FOR BOOSTED DECISION STUMPS TO IDENTIFY AND RESPOND TO NON-BENIGN BEHAVIORS [P] . 世界知识产权组织专利： WO2016178789A1 . 2016-11-10

  机译： 使用因果决策残差的因果分析来识别和响应非良性行为的方法和系统

• 1. Analysis of Nuclear Power Plant Fittings Stock Management and Design of a Decision Support System [J] . 国际设备工程与管理（英文版） . 2002,第004期
• 2. Response surface method using grey relational analysis for decision making in weapon system selection [J] . Peng Wang, Peng Meng, Baowei Song 系统工程与电子技术（英文版） . 2014,第002期
• 3. THE SYSTEM OF INVESTMENT DECISION MAKING THROUGHANALYSIS OF STOCK PORTFOLIO PERFORMANCEBASED SINGLE INDEX MODEL (COMPARISON STUDY OF SHARIAH STOCKS AND CONVENTIONAL STOCKS) [J] . MULYANTO NUGROHO, SRIE HARTUTIE MOEHADITOYO, KHOIRUL ANAM Journal of Theoretical and Applied Information Technology . 2017,第6期
• 4. Computerized Adaptive Test vs. decision trees: Development of a support decision system to identify suicidal behavior [J] . Delgado-Gomez D., Baca-Garcia E., Aguado D., Journal of affective disorders . 2016,第Null期
• 5. Sharing decisions in breast cancer care: Development of the Decision Analysis System for Oncology (DAS-O) to identify shared decision making during treatment consultations. [J] . Brown RF, Butow PN, Juraskova I, Health expectations: an international journal of public participation in health care and health policy . 2011,第1期
• 6. Creation of Stock Analysis System depend on the Prediction research of Individual Stock Price Behavior by Moving Average Method [C] . Pang-Wen Ling International Conference on Management, Manufacturing and Materials Engineering . 2013
• 7. Top quark produced through the electroweak force: Discovery using the matrix element analysis and search for heavy gauge bosons using boosted decision trees. [D] . Pangilinan, Monica. 2010
• 8. IV. Clinical Consultation Systems Medical Decision Support Systems and Clinical Research Data Bases: A. Medical Decision Support and Artificial Intelligence Methodologies: Patient Specific Medical Decision Analysis Using the Help System [O] . Randy Waki, Paul D. Clayton, Robert L. Jensen, 1981
• 9. Decision-making is the process of analyzing information about a problem situation and comparing it to a specific conclusion in order to solve a specific problematic (Yıkılmaz, 2001; Miller and Byrnes, 2001). Decision-making styles are a mechanism that is influenced by the internal and external conditions that determine the direction of the decisions of the individual, the content of the decision-making process, and the outcome of the decision-making process (Payne, Bettman and Johson, 1993; Bavol’ár and Orosová, 2015). ACT is a contemporary member of the Cognitive Behavioral Therapy family. ACT (Acceptance and commitment therapy) has both similar and different directions with Behavioral Therapies and Cognitive Therapies (Herbet and Forman, 2011; Hayes, 2004). KKT responds to classical behavioral treatments using both existential and cognitive approaches in the analysis of behavior. KKT is a science wing that tries to solve human problems with a wider perspective aimed at solving problematic human behaviors (Plumb, Stewart, Dahl and Lundgren, 2009). It is seen that there is very little research about the new approach of ACT approach when the aiming country of our country is screened and it is thought that our country will contribute to the field of psychological counseling with the work done. In the scope of the research, experimental and control groups and preliminary test, post-test and follow-up measurements of 2x3 experimental design were used. The study's study group consists of a total of 24 (12 experimental and 12 control groups) university students studying in different departments and levels, continuing their education in the academic year of 2015-2016 in Ağrı province and İbrahim Chechen University in 2015-2016 academic year. The average age of participants in the experiment and control group is 20. There were 12 participants in the experimental group, 7 female and 5 male, and 12 participants, 7 female and 5 male in the control group. Personal Information Form and Decision Making Style Scale prepared by the researcher were used in the research. In order to decide on the tests to be used in the course of analyzing the data, the scores of the participant's Decision Styles Scale pre-test, which are placed primarily in the experimental and control groups, it was analyzed whether the basic expectations of parametric tests were answered. As a result of the analysis made, the scores, skewness and kurtosis coefficients obtained from the Decision Making Styles Scale were given to the experimental and control groups. It was determined that the distribution was normal in the result of Shapiro-Wilk test, in which the skewness and kurtosis coefficients of each sub-scale were ranked between -1 and +1. Participants in the experimental and control groups; homogeneity test results for decision-style pre-test measurements indicate that the data are homogeneous. According to the results of the Mauchly Globalness Test, it has been determined that working supports the hypothesis. It was determined that there was no significant difference between the pre-test scores obtained from dependent decision-making style of experiment and control groups, but the test group showed lower mean scores at the significant level within the scores of post-test and follow-up tests. Therefore, it can be said that the ACT-oriented psychoeducation program applied to the experimental group reduces the dependent decision-making style scores from the decision style sub-dimensions and the psychoeducation program has a lasting effect. It was determined that there was no significant difference between pre-test, post-test and follow-up scores obtained from the Spontaneous-Instant Decision Style of experiment and control groups. Thus, it can be said that this situation does not cause a significant difference in the Spontaneous-Decision-Making Style scores from the decision style sub-dimensions of the ACT-oriented psychoeducation program applied to the experimental group. The ACT -oriented psychoeducation program had a decline in the intuitive decision-making styles of the individuals, but this decrease did not create significant differences. Thus, it can be said that this situation does not make a meaningful difference in the intuitive decision style scores from the decision style sub-dimensions of the KKT oriented psychoeducation program applied to the experimental group. The pre-test scores obtained from the rational decision-making style of the experimental and control groups showed that there was a difference between the post-test and the follow-up scores, but this difference was not significant. As a result of the analysis, it was determined that the test group had higher levels of rational decision style than the pre - test scores in the post test and follow - up scores, whereas the post test and follow - up test scores in the control group rational decision style showed a decrease compared to the pre - test scores. the pre - test scores. Decision-making Styles Scale Avoidant Decision Making As a result of the analysis of the mean scores of the subscale scores of pre-test, post-test and follow-up measures, the group effect was found to be insignificant. It was determined that the experimental and control groups differed significantly from the pre-test scores obtained from the avoidant decision-making style but did not show any significant change within the scores of the post-test and follow-up tests. [O] . mustafa ercengiz, ali haydar şar 2018

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• 2. Machine Learning and Classical Forecasting Methods Based Decision Support Systems for COVID-19 [J] . RamazanÜnlü ,Ersin Namlı . 计算机、材料和连续体(英文) . 2020,第9期
• 3. HumanBoost: Utilization of Users’ Past Trust Decision for Identifying Fraudulent Websites [J] . Daisuke Miyamoto ,Hiroaki Hazeyama ,Youki Kadobayashi . 智能学习系统与应用（英文） . 2010,第4期
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• 5. 考虑决策者行为的突发事件应急响应风险决策方法研究 [A] . 沈荣鉴 . 2011