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检索条件"主题词=c4.5 algorithm"

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Design of Decision Support System with c4.5 algorithm Methods in Determining Results Vaname Shrimp cultivation 5

Design of Decision Support System with C4.5 Algorithm Method...

引用

5th International conference on New Media Studies (cONMEDIA)

作者： Tobing, Fenina Adline Twince Dzulhaq, Muhammad Iqbal Overbeek, Marlinda Vasty Setiawan, Eko Anto Univ Multimedia Nusantara Informat Dept Fac Tech & Informat Tangerang Banten Indonesia STMIK Bina Sarana Global Informat Tech Depatrment Tangerang Banten Indonesia

ISBN: (纸本)9781728107264

Water quality has a very important role in the success of shrimp farming. Water as a living medium for shrimp, has a direct effect on the health and growth of shrimp. Water quality determines the existence of various types of organisms in the pond ecosystem, both for shrimp and other biota. Water quality that is far from the optimal value can cause cultivation failure, while optimal water quality can support shrimp growth. This study aims to build a decision support system to help companies manage water quality to get good shrimp farming results. The attributes used are water height, salinity, DO, pH, temperature, alkalinity and target size attributes of shrimp. The data used were 93 data partitioned into 76 training data and 17 testing data. Based on the classification results using the c4.5 algorithm, accuracy was 76.47%, precision was 72.72% and recall was 88.88%. From this study it was proven that the decision support system with the c4.5 algorithm can be used to determine the results of vaname shrimp farming.

关键词： Shrimp cultivation Decision Support System c4.5 algorithm

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Factors Affecting Household Electrical Usage Using c4.5 algorithm 6

Factors Affecting Household Electrical Usage Using C4.5 Algo...

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6th International conference on cyber and IT Service Management (cITSM)

作者： Nasari, Fina Dewi, Rofiqoh Fujiati Univ Potensi Utama Jl KL Yos Sudarso Km 6-5 3 A Medan 20241 Indonesia

ISBN: (纸本)9781538654330

this paper is part of the classification, focusing on the classification of high household electrical usage. Electricity needs are increasing while availability is getting smaller, requiring solution in its utilization to be more effective and efficient. It is important to classify factors that lead to high electricity consumption among households using the c4.5 algorithm. The c4.5 algorithm is a fairly effective algorithm to help shape decision trees. This research is able to classify the high usage of household electricity. The result of this research get the main factor of high household electric usage is the number of family member with the value of gain 84,2%. Testing of rules generated with average test result 81.69%. It is hoped that the future will become the basis for the wider use of electricity.

关键词： electricity c4.5 algorithm clasification Decision tree

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The Analysis and Application of the c4.5 algorithm in Decision Tree Technology

The Analysis and Application of the C4.5 Algorithm in Decisi...

引用

International conference on Advanced Materials and Engineering Materials (IcAMEM 2011)

作者： Zhao, Hongyan Shandong Yingcai Univ Sch Comp & Informat Engn Jinan Peoples R China

ISBN: (纸本)9783037853559

The Decision Tree technology, which is the main technology of the Data Mining classification and forecast, is the classifying rule that infers the Decision Tree manifestation through group of out-of-orders, the non-rule examples. Based on the research background of The Decision Tree's concept, the c4.5 algorithm and the construction of The Decision Tree, the using of c4.5 Decision Tree algorithm was applied to result analysis of students' score for the purpose of improving the teaching quality.

关键词： Data Mining Decision Tree c4.5 algorithm Score Analysis

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The Application and Research of c4.5 algorithm

The Application and Research of C4.5 Algorithm

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International conference on Advances in Materials Science and Information Technologies in Industry (AMSITI)

作者： Zhao, Hongyan Shandong Yingcai Univ Sch Comp & Informat Engn Jinan Peoples R China

ISBN: (纸本)9783038350125

In the sustainable development of private universities, stable teachers team is the guarantee of talent training. For colleges or universities, it has important significance to analysis the main factors which cause teachers' loss. c4.5 algorithm is a kind of machine learning algorithm in the classification decision tree algorithm. Decision tree is the main technology of data mining classification and prediction. Through the survey data from the information, it establishes the teacher turnover tendency decision tree model using c4.5 algorithm to provide the decision-making basis for the university management work.

关键词： private universities teachers' loss c4.5 algorithm

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The Research and Analysis in Decision Tree algorithm Based on c4.5 algorithm 3

The Research and Analysis in Decision Tree Algorithm Based o...

引用

3rd IEEE Advanced Information Technology, Electronic and Automation control conference (IAEAc)

作者： Hao, Huan chen, Tieming Lu, Jing Liu, Jie Ma, Xiaodan Xian High Tech Inst Tongxin Rd 2 Xian Shaanxi Peoples R China

ISBN: (纸本)9781538645093

On the base of introducing the Decision Tree, this article lists two main algorithms of Decision Tree. After describing the principle of briefly, it reveals the essential idea and the computing process of c4.5 algorithm in detail. As constructing a Decision Tree on a group of instance data with the two algorithms, we get the principle of classification about the data. By comparing the two algorithms during the process of constructing the tree, we analysis the advantages and disadvantages of them finally. With the conclusion of the applied scope of each algorithm, it provides a theoretical basis for choosing an appropriate method in practical application.

关键词： The Decision Tree c4.5 algorithm ID3 algorithm

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Research on c4.5 algorithm improvement strategy based on MapReduce 10

Research on C4.5 algorithm improvement strategy based on Map...

引用

10th Annual International conference of Information and communication Technology (IcIcT)

作者： Wang, Huan-Bin Gao, Yang-Jun Airforce Engn Univ Coll Equipment Management & Unmanned Aerial Vehic Xian 710051 Shanxi Peoples R China

By analyzing the shortcomings of c4.5 decision tree algorithm, this paper combines MapReduce parallel model in Hadoop platform with c4.5 decision tree algorithm, so that c4.5 algorithm can be executed in parallel, so as to improve the efficiency of the algorithm. The improved c4.5 algorithm implementation process is given and the process is analyzed. Finally, the c4.5 algorithm improved experimental environment configuration is explained. (c) 2021 The Authors. Published by Elsevier B.V.

关键词： MapReduce Data mining c4.5 algorithm Parallelization

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The Improvement of c4.5 algorithm and case Study

The Improvement of C4.5 Algorithm and Case Study

引用

2nd International Symposium on computational Intelligence and Design

作者： Li Rui Wei Xian-mei Yu Xue-wei Dalian Jiaotong Univ Software Inst Dalian Peoples R China

ISBN: (纸本)9780769538655

The paper introduces a balanced coefficient to improve the veracity of c4.5 algorithm. It can be fixed by decision maker according to priori intellectual and domain intellectual. It harmonized the information gain-ratio of each attributes artificially in specific environment. The classification is more veracious and rational by the decision tree made from the improved algorithm. And compared the improved algorithm to c4.5 algorithm by analyzing examples, to prove the efficiency of the improved algorithm.

关键词： classification of data Decision tree c4.5 algorithm Degree of balance coefficient

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Implementation of c4.5 algorithm to Determine Hospital Readmission Rate of Diabetes Patient 4

Implementation of C4.5 Algorithm to Determine Hospital Readm...

引用

4th International conference on New Media Studies (cONMEDIA)

作者： Tamin, Felix Iswari, Ni Made Satvika Univ Multimedia Nusantara Fac Engn & Informat Tangerang Indonesia

ISBN: (纸本)9781509062843

Diabetes is a disease in which the body's ability to produce or respond to the hormone insulin is impaired, resulting in abnormal metabolism of carbohydrates and elevated levels of glucose in the blood and urine. It can be suffered by everyone and until now there is no cure for it. A hospital readmission is an episode when a patient who had been discharged from a hospital is admitted again within a specified time interval. Readmission rates have increasingly been used as a quality benchmark for health systems. In this research, c.45 algorithm is used to determine hospital readmission rate of diabetes patient. Dataset used in this study is taken from UcI Machine Learning Repository, which contain diabetic patient data from 130 hospitals in United States for 10 years (1999-2008). Several experiments are done to get the best result, and the best result is 74.5% for accuracy. This result is obtained by doing several preprocess data i.e. filling all missing value, using numeric and nominal attribute type, and by not including several attributes.

关键词： c4.5 algorithm decision tree diabetes readmission data mining

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Application of c4.5 algorithm in Evaluation of Railway Large Maintenance Machinery construction

Application of C4.5 Algorithm in Evaluation of Railway Large...

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4th International conference on Frontiers of Manufacturing and Design Science (IcFMD 2013)

作者： Zhu, Weiqiao Shi, Tianyun China Acad Railway Sci Inst Comp Technol Beijing 100081 Peoples R China

ISBN: (纸本)9783037859926

With improvement of the level of modernization and mechanization of railway infrastructure maintenance, Railway large maintenance machinery (RLMM) is considered to be one of the main equipment. We have accumulated large amounts of RLMM construction data. How to mine valuable information from these data has become an important research subject. The c4.5 algorithm of decision tree is a useful method of data mining and classification. The paper solves evaluation of RLMM construction problem based on the c4.5 algorithm. By means of extracting the attribute with maximum gain ratio as the root node of the decision tree from training sample data, the evaluation decision tree was constructed. The decision tree modeling of evaluation of RLMM construction was gained by the post-pruning approach. The experimental results and analysis show that this model has high precision and credibility.

关键词： Evaluation Railway Large Maintenance Machinery (RLMM) c4.5 algorithm Decision Tree

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A SURVEY ON NEAREST LOcATION DETERMINATION USING c4.5 algorithm

A SURVEY ON NEAREST LOCATION DETERMINATION USING C4.5 ALGORI...

引用

IEEE International conference on Electrical, Instrumentation and communication Engineering (IcEIcE)

作者： Vijayabaskaran, P. S. Nivedha, A. Nivedha, G. Elodie, Dupont Sri Manakula Vinayagar Engn Coll Dept Informat Technol Pondicherry India

ISBN: (纸本)9781509049967

Picking right product from the right place in a cost-effective way is a prime moto behind running online shopping business. Online shopping portal offer a better platform for promoting most of traditional or conventional products. This online platform relies on the principle of nearest location determination of products which provides services in a quick and reliable manner. In this process, there exists mechanism such as j48 and c4.5 algorithm. The objective of this article is to discuss the nearest location determination algorithm and its scopes. Further the article deliver the opportunity and effectiveness of these algorithm in various traditional product or business promotion.

关键词： cost-effective nearest location determination business promotion c4.5 algorithm

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