Data Mining Utilization for Plant Historical Processing Accumulated Data

2013 ◽  
Vol 411-414 ◽  
pp. 1040-1043
Author(s):  
Qing Li ◽  
Bao Liang Ge ◽  
Jie Liu ◽  
Yan Xiong Fu
Keyword(s):  
Data Mining ◽  
Positive Relationship ◽  
Copper Recovery ◽  
Mining Technology ◽  
Copper Concentrate ◽  
Processing Data ◽  
Total Metal ◽  
Plant Processing ◽  
Concentrate Grade ◽  
Relationship Of

A large amount of processing data was accumulated within plant processing. And its necessary to use this data for plant processing as well as its administration. In this article the data mining technology and its utilization were discussed, according to research results, the fitting relationship is:Cu recovery (%)= -1.1221*lime dosage (Kg/t)+92.6, the lime dosage alteration effect on copper recovery are 1.41% absolutely and 1.66% relatively. The fitting relationship of copper concentrate grade and lime dosage is:Cu grade (%)= 0.0554*lime dosage (Kg/t)+19.271, the lime dosage alteration effect on copper recovery are 0.070% absolutely and 0.36% relatively. It can be concluded that the lime dosage has a great effect on copper recovery, and lime dosage is relative to the total metal minerals in the ore, because the fitting relationship of the lime dosage and metal minerals summation in the ore is:Dosage (Kg/t)= 0.0487*total metal minerals (%)+2.6441, the lime dosage show a positive relationship with total metal minerals in the ore.

scholarly journals Application of Data Mining Technology Based on Data Center

2022 ◽  
Vol 2146 (1) ◽  
pp. 012017
Author(s):  
Longjun Zhang ◽  
Kun Liu ◽  
Ilyar Ilham ◽  
Jiaxin Fan
Keyword(s):  
Data Mining ◽  
Computer Science ◽  
Data Center ◽  
Rapid Development ◽  
Research Field ◽  
The Internet ◽  
Test Results ◽  
Mining Technology ◽  
Processing Data ◽  
Definition Of

Abstract Data mining technology refers to the use of mathematics, statistics, computer science and other methods to process a large amount of information to obtain useful conclusions and provide valuable decisions for people. With the rapid development and popularization of the Internet era and the more and more extensive application of computers in various fields, data mining technology has become a hot research field in today’s society. Based on the data center, this paper studies the data mining technology. Firstly, this paper expounds the definition of data mining, and studies the process of data mining and the steps of processing data. Then, this paper also designs and studies the framework of data mining, and tests the performance of the algorithm. Finally, the test results show that data mining technology can well meet the target requirements.

Application Research of Data Mining Technology on Growth Management of Forestry

2013 ◽  
Vol 846-847 ◽  
pp. 995-998
Author(s):  
Wen Qing Zhang
Keyword(s):  
Data Mining ◽  
Evaluation Model ◽  
Growth Management ◽  
Study Data ◽  
Forest Growth ◽  
Mining Technology ◽  
Planning And Design ◽  
Forestry Management ◽  
Relationship Of ◽  
Forestry Resources

A large number of data have been accumulated in our country during the long-term investigation and statistics of forestry resources, and it has become key problem to find out the relationship of the environment and forest growth from the large number of existing forestry resources data. In this paper, the data mining technology is used in planning and design of forestry resource, and the process of data mining is studied, considering data mining and design process of forestry resource decision, we firstly study data mining technology, then collect the data and perform data processing, select the algorithm of data mining, and establish Bayesian evaluation model, then explain and analyze the decision analysis of forestry results. Practice has proved that data mining methods have improved the accuracy and reliability of decision making of forestry management, and provided new theory, methods and technology for research of growth management of forestry.

Relationship of Love, Affect and Wellbeing

2014 ◽  
Vol 2 (1) ◽  
Author(s):  
Dr. Thiyam Kiran Singh ◽  
Aastha Dhingra
Keyword(s):  
Positive Affect ◽  
Positive Emotions ◽  
Positive Relationship ◽  
Interpersonal Relationship ◽  
Significant Positive Relationship ◽  
Young Females ◽  
Close Friendship ◽  
Major Facilitator ◽  
Relationship Of ◽  
The Relationship

Love is more than a close friendship. It acts as a major facilitator of interpersonal relationship. Love is positive in nature and leaves a positive affect on every individual. An individual in love not only feels positive but spreads positivity around. They smile, be kind to other people, behave compassionately with everyone. If the person is happy then he is likely to be psychologically and emotionally healthy. The current study aimed at understanding the relationship between love, affect and wellbeing among young females aged between 20-25 years. The study reported a significant positive relationship between love and positive affect with the significant correlation of 0.29 at 0.05 levels (p<0.05). It was also found a significant positive relationship between love and wellbeing with the significant correlation of 0.58 at 0.01 level (p<0.01). This means that people in love experience positive emotions and healthy wellbeing. The correlation between love and negative affect came out to be insignificant. The correlation turned out to be -0.13. This means that people in love do not experience negative emotions.

The influence of Country of Origin Image on HCMC consumer attitudes towards Vietnamese garments

2020 ◽  
Author(s):  
Ha Nam Khanh Giao
Keyword(s):  
Strong Influence ◽  
Positive Relationship ◽  
Country Of Origin ◽  
Consumer Attitudes ◽  
Competitive Advantages ◽  
Age And Gender ◽  
Managerial Implications ◽  
And Gender ◽  
Country Of Origin Image ◽  
Relationship Of

The study analyses the factors of Country of Origin Image influencing Vietnamese consumer attitudes towards Vietnamese garments by surveying 366 customers. Cronbach's Alpha analysis and EFA analysis together with multiple regression analysis were used with SPSS. The results show that only two components having a strong influence are "Country of Origin Image" and "Country of Origin Image of Product"; only "Country of Origin Image of Product" affects consumer’s perceived cost of garments; finally, there is a positive relationship of perceived benefits and a negative one of perceived cost of attitudes towards Vietnamese garments. There is no difference in terms of "income", "age" and "gender" for consumer attitudes towards Vietnamese garments. The study also suggests a number of managerial implications for the garment companies to have better competitive advantages.

Advanced Statistical Tools for Improving Yield and Reliability

1999 ◽  
Author(s):  
Richard C. Kittler
Keyword(s):  
Data Mining ◽  
Analysis Data ◽  
Neural Nets ◽  
Future Trends ◽  
Statistical Tools ◽  
Mining Technology ◽  
Explanatory Variables ◽  
Data Coverage ◽  
Statistical Approaches ◽  
Adequate Data

Abstract Analysis of manufacturing data as a tool for failure analysts often meets with roadblocks due to the complex non-linear behaviors of the relationships between failure rates and explanatory variables drawn from process history. The current work describes how the use of a comprehensive engineering database and data mining technology over-comes some of these difficulties and enables new classes of problems to be solved. The characteristics of the database design necessary for adequate data coverage and unit traceability are discussed. Data mining technology is explained and contrasted with traditional statistical approaches as well as those of expert systems, neural nets, and signature analysis. Data mining is applied to a number of common problem scenarios. Finally, future trends in data mining technology relevant to failure analysis are discussed.

Framework and performance analysis of college English testing system based on data mining technology

2021 ◽  
pp. 1-11
Author(s):  
Liu Narengerile ◽  
Li Di ◽  
Keyword(s):  
Data Mining ◽  
Test System ◽  
Test Time ◽  
Testing System ◽  
Test Results ◽  
System Software ◽  
Examination System ◽  
Mining Technology ◽  
College English ◽  
And Performance

At present, the college English testing system has become an indispensable system in many universities. However, the English test system is not highly humanized due to problems such as unreasonable framework structure. This paper combines data mining technology to build a college English test framework. The college English test system software based on data mining mainly realizes the computer program to automatically generate test papers, set the test time to automatically judge the test takers’ test results, and give out results on the spot. The test takers log in to complete the test through the test system software. The examination system software solves the functions of printing test papers, arranging invigilation classrooms, invigilating teachers, invigilating process, collecting test papers, scoring and analyzing test papers in traditional examinations. Finally, this paper analyzes the performance of this paper through experimental research. The research results show that the system constructed in this paper has certain practical effects.

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