检索结果-内蒙古大学图书馆

SNP barcoding based on decision tree algorithm: A new tool for identification of mosquito species with special reference to Anopheles

引用

ACTA TROPICA 2019年 199卷 105152-105152页

作者： Swain, Surya N. Makunin, Alex Dora, A. Simanchal Barik, Tapan K. Berhampur Univ PG Dept Zool Berhampur Odisha India Wellcome Sanger Inst Malaria Programme Cambridge England

Molecular taxonomy based identification of species in the form of DNA barcodes are extensively used in evolutionary systematics. Almost all the DNA barcodes contain detailed information of the barcoding gene along with uninformative sequences of a particular species. Therefore, a technique is highly essential to remove or to reduce the number of uninformative sequences and ought to create species-specific barcodes for differentiation. The actual variation in genetic sequences, called single nucleotide polymorphism (SNP) genotyping, can be utilized to develop a new tool for rapid, reliable, and high-throughput assay to distinguish the known species. SNPs act as important hereditary markers for uncovering the evolutionary history and normal genetic polymorphisms. Keeping in mind, we propose a decision tree-based barcoding (DTB) algorithm for generating SNP barcodes from the DNA barcoding sequence of several evolutionarily related species to accurately identify a single species. To address this issue, we analyzed mitochondrial COI gene sequences of 64 species of Anopheles mosquitoes. After alignment and truncating, 32 SNPs were discovered in COI gene sequences of Anopheles mosquitoes and then computed to set up the decision rule for constructing the decision tree. The decision tree based barcoding algorithm generates 126 nodes and 32 loci for discriminating 64 Anopheles mosquito species. Finally, we concluded that the DTB method is useful and effective for generating sequence tags for Anopheles mosquito species identification.

关键词： Anopheles COI decision tree algorithm SNP-barcoding Species discrimination

来源：评论

学校读者我要写书评

暂无评论

A dynamic evaluation of MOOC online English teaching based on decision tree algorithm

引用

INTERNATIONAL JOURNAL OF CONTINUING ENGINEERING EDUCATION AND LIFE-LONG LEARNING 2024年第2-3期34卷 167页

作者： Qian, Lu Jiangxi Police Coll Dept Publ Secur Management Nanchang 330199 Jiangxi Peoples R China

Aiming at the problems of low evaluation accuracy, complex evaluation process and time-consuming evaluation, this paper designed a dynamic evaluation method of MOOC online English teaching based on decision tree algorithm. Firstly, the data type is determined, and the correlation and correlation degree of the data are determined by Chi-square statistics method and mutual information method. Then, the redundant data and noise are removed by calculating the data centroid distance in the data set. Finally, the attribute value of evaluation decision tree is determined by decision tree, the evaluation model is constructed, and the evaluation error is corrected by decision tree pruning method to achieve dynamic evaluation of MOOC online English teaching. Experimental results show that the proposed method has the highest accuracy of 97% and takes 1.6 s, which effectively improves the evaluation efficiency.

关键词： Chi-square statistical method relevance decision tree algorithm MOOC online English teaching dynamic evaluation suppress noise

来源：评论

学校读者我要写书评

暂无评论

Logistics financial risk assessment based on decision tree algorithm model

引用

Procedia Computer Science 2024年 243卷 1095-1104页

作者： Dongdong Dong Baoguo Lin Xueqin Dong Faculty of Business City University of Macau Macau 999078 China School of Digital Economics Sichuan University Jinjiang College Meishan 620000 China

In order to solve the financial risk problem of small and medium-sized logistics enterprises, a log algorithm is used to measure the financial risk of logistics. Combined with the actual situation of logistics finance, through the analysis of randomly selected logistics finance data, quantitatively extract important financial risk indicators, build a credit rating model based on decision tree C4.5 algorithm, and conduct empirical research on the model. The empirical results show that the quantitative financial risk indicator extraction method combined with decision tree C4.5 algorithm credit rating model has high accuracy in the evaluation of logistics finance risk. Therefore, based on the existing logistics financial risk assessment methods and models, the decision tree analysis technology is applied to analyze and make decisions on the credit status of credit applicants, and select companies with good credit, so as to reduce the financial risk of logistics enterprises and improve the efficiency of financial risk management.

关键词： decision tree algorithm logistics financial risk risk assessment

来源：评论

学校读者我要写书评

暂无评论

Pedestrian Crossing Safety System at Traffic Lights based on decision tree algorithm

引用

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2019年第8期10卷 375-379页

作者： Hardiyanto, Denny Rojali, Muamar Iswanto Sartika, Dyah Anggun AKPRIND Yogyakarta Inst Sains & Teknol Dept Elect Engn Yogyakarta Indonesia Univ Muhammadiyah Yogyakarta Dept Elect Engn Yogyakarta Indonesia Politeknik Negeri Madiun Dept Comp Control Engn Madiun Indonesia

Pedestrians are one of the street users who have the right to get priority on security. Highway users such as vehicle drivers sometimes violate the traffic lights that is endanger pedestrians and make pedestrians feel insecure when crossing the street. Based on this problem, a tool is designed to provide a warning for the drivers or riders violating the traffic lights and prevent traffic accident by spraying water. The system is able to detect traffic violation based on changes in the value of the vehicle position on the stop line obtained from the Ultrasonic HC-SR04 sensor. When a violation is detected, a decision tree algorithm turns on the pump to spray water to the traffic violators as a deterrent effect. The results show that the vehicle located closest to the sensor has 94% precision, 88% recall and 85% accuracy, the vehicle located in the middle has 73% precision, 100% recall, and 75% accuracy, and the vehicle located furthest to the sensor has 75% precision, 100% recall and 80% accuracy.

关键词： Pedestrian safety decision tree algorithm traffic light spraying water

来源：评论

学校读者我要写书评

暂无评论

Research on Scholarship Evaluation System based on decision tree algorithm

引用

电脑知识与技术 2015年第3X期11卷 11-13页

作者： YIN Xiao WANG Ming-yu Hunan Agricultural University

Under the modern education system of China, the annual scholarship evaluation is a vital thing for many of the collegestudents. This paper adopts the classification algorithm of decision tree C4.5 based on the bettering of ID3 algorithm and constructa data set of the scholarship evaluation system through the analysis of the related attributes in scholarship evaluation *** also having found some factors that plays a significant role in the growing up of the college students through analysis and re-search of moral education, intellectural education and culture&PE.

关键词： data mining scholarship evaluation system decision tree algorithm C4.5 algorithm

来源：评论

学校读者我要写书评

暂无评论

Study on Effect and Value of Result Analysis with decision tree algorithm in Colleges

Study on Effect and Value of Result Analysis with Decision T...

引用

2015 International Conference on Education Technology,Management and Humanities Science(ETMHS 2015)

作者： Fengxian Deng Hainan College of Software Technology

ISBN: (纸本)9781510803121

in efficient management teaching, students' results are important basis to evaluate teaching quality and teaching effect. Factors influencing students' results are complex and diversified. It is necessary to reasonably utilize data mining technology and adopt decision tree to analyze and predict students' results, correct bad behaviors influencing students' results in time in allusion to predication results and change teaching strategies. This paper studies application and value of decision tree algorithm in analyzing students' results in colleges. Teaching objective of higher education is to cultivate high-quality elites and inter-disciplinary talents and improve teaching quality. However, in teaching, students' results are an important indicator to evaluate students' knowledge mastery and also important basis to evaluate teaching quality. Reasonable analysis and prediction of students' results can provide important basis for enhancing teaching management, improving teaching environment, boosting teaching quality and deepening teaching reform. Data mining technology is the foundation and precondition of further deep-level data analysis in decision-making process. So, it is very significant to apply data mining technology in result analysis. It can comprehensively analyze the relationship between exam results and factors influencing results. When data mining technology is used to analyze students' results, relevant results can be gained in time and students, and bad behaviors can be corrected in time, too.

关键词： college decision tree algorithm result analysis effect and value

来源：评论

学校读者我要写书评

暂无评论

Analysis of Public Physical Education Teaching and Quality Evaluation in Colleges and Universities Based on decision tree algorithm 2020

Analysis of Public Physical Education Teaching and Quality E...

引用

2020 2nd International Workshop on Artificial Intelligence and Education

作者： Xia Huang Jianghan University China

ISBN: (纸本)9781450388252

Physical education in the past teaching field is relatively low, which leads to the physical quality of many modern students is relatively weak, and physical quality is related to the health of students and whether learning activities can be carried out smoothly. Therefore, modern colleges and universities pay more attention to physical education teaching and carry out public physical education courses. However, public physical education curriculum has its own quality requirements. If the quality is not up to the standard, it can not guarantee the students' physical quality. At this time, it is necessary to evaluate the teaching and quality of Public Physical Education in Colleges and universities. This paper puts forward a teaching and quality evaluation scheme based on decision tree algorithm, and uses methods to evaluate the teaching and quality of Public Physical Education in a university. The results show that the scheme is effective.

关键词： decision tree algorithm teaching quality evaluation college public physical education

来源：评论

学校读者我要写书评

暂无评论

Mortality prediction and long-term outcomes for civilian cerebral gunshot wounds: A decision-tree algorithm based on a single trauma center

引用

JOURNAL OF CLINICAL NEUROSCIENCE 2020年第0期75卷 71-79页

作者： Kim, Lily H. Quon, Jennifer L. Cage, Tene A. Lee, Marco B. Lan Pham Singh, Harminder Stanford Univ Dept Neurosurg Sch Med 300 Pasteur Dr Stanford CA 94305 USA Santa Clara Valley Med Ctr 751 S Bascom Ave San Jose CA 95128 USA

Gunshot wounds (GSW) are one of the most lethal forms of head trauma. The lack of clear guidelines for civilian GSW complicates surgical management. We aimed to develop a decision-tree algorithm for mortality prediction and report long-term outcomes on survivors based on 15-year data from our level 1 trauma center. We retrospectively reviewed 96 consecutive patients who presented with cerebral GSWs between 2003 and 2018. Clinical information from our trauma database, EMR, and relevant imaging scans was reviewed. A decision-tree model was constructed based on variables showing significant differences between survivors and non-survivors. After excluding patients who died at arrival, 54 patients with radiologically confirmed intracranial injury were included. Compared to survivors (51.9%), non-survivors (48.1%) were significantly more likely to have perforating (entry and exit wound), as opposed to penetrating (entry wound only), injuries. Bi-hemispheric and posterior fossa involvement, cerebral herniation, and intraventricular hemorrhage were more commonly present in non-survivors. Based on the decision-tree, Glasgow Coma Scale (GCS) > 8 and penetrating, uni-hemispheric injury predicted survival. Among patients with GCS <= 8 and normal pupillary response, lack of 1) posterior fossa involvement, 2) cerebral herniation, 3) bi-hemispheric injury, and 4) intraventricular hemorrhage, were associated with survival. Favorable long-term outcomes (mean follow-up 34.4 months) were possible for survivors who required neurosurgery and stable patients who were conservatively managed. We applied clinical and radiological characteristics that predicted survival to construct a decision-tree to facilitate surgical decision-making for GSW. Further validation of the algorithm in a large patient setting is recommended. (C) 2020 Elsevier Ltd. All rights reserved.

关键词： Gunshot wound Traumatic brain injury decision tree algorithm Mortality outcome

来源：评论

学校读者我要写书评

暂无评论

Design of Active Fault Diagnosis and Repair System for Active Distribution Networks Based on decision tree algorithm 23

Design of Active Fault Diagnosis and Repair System for Activ...

引用

Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering

作者： Fanxin Kong Tianqi Guo Xinyu Zhang State Grid Information & Telecommunication Group Co. Ltd. Beijing Branch China

ISBN: (纸本)9798400708299

In active distribution networks, fault location and recovery are pivotal functions. However, it's worth noting that there exists a discernible gap between the current state of domestic distribution networks in China and those in more developed countries. Consequently, the development of self-healing control technology for distribution networks has emerged as a crucial strategy to address the existing shortcomings and emerging challenges within China's distribution network infrastructure. In light of these considerations, this article focuses on diagnosing active faults within active distribution networks using decision tree algorithms, as well as developing a repair system. The decision tree serves as a predictive model, establishing a mapping relationship between object attributes and their corresponding values. The research outcomes demonstrate that the time consumption associated with the first two stages can be effectively disregarded, thereby enabling swift recovery for faults that solely necessitate the execution of these initial stages. The overall fault recovery process primarily relies on the third stage. For a system comprising 39 nodes, the average time consumption remains below 2 seconds, signifying a notably efficient recovery plan and execution speed. This study further emphasizes the real-time transmission of detection data from various positions within the power supply system to the central power control management organization. In the event of a fault occurrence, the decision tree algorithm plays a pivotal role in achieving precise fault localization. This, in turn, significantly enhances the efficiency of fault identification and positioning processes.

关键词： Active fault diagnosis for active distribution networks decision tree algorithm Repair System Design

来源：评论

学校读者我要写书评

暂无评论

A Study on the Application of the decision tree algorithm in Psychological Information of Vocational College Students

A Study on the Application of the Decision Tree Algorithm in...

引用

2015 2nd International Conference on Engineering Technology and Application

作者： Dongmei Cheng Tan Li Lihua Niu Department of Public Basic Langfang Health Vocational College

This paper discusses the basic operating principle and the development status of data mining technology,analyzes the insufficiency of the existing psychological management system,and proposes the development trend of psychological health education in *** to an analysis on factors affecting college students' mental health and the deviation between the reality and the current number of students with psychological abnormality,this paper studies the application of data mining technology and puts forward a system based on data mining that combines the classified data mining technology with the existing psychological management system.

关键词： decision tree algorithm psychological information of college students data mining

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：