Data Mining Based Analysis Method for Chinese Elders' Survival Self-Evaluation in Universal Design

2014 ◽  
Author(s):  
Fangyan Zhang ◽  
Hao Liang
Keyword(s):  
Data Mining ◽  
Universal Design ◽  
Analysis Method ◽  
Self Evaluation ◽  
Chinese Elders

The Research on C2C E-Commerce Website Using Data Mining Tools to Improve the Network Marketing Effect

2013 ◽  
Vol 433-435 ◽  
pp. 1885-1889
Author(s):  
Lu Feng ◽  
Zhan Quan Wen ◽  
Jie Mei Lin
Keyword(s):  
Data Mining ◽  
Analysis Method ◽  
Network Marketing ◽  
Data Mining Tool ◽  
Mining Tool ◽  
Using Data ◽  
Object Of Study ◽  
Hyperlink Analysis ◽  
Mining Tools

We used the principle of hyperlink analysis method to mine the website data according to the indicators of the hyperlink analysis. We selected Taobao.com as an object of study. The evaluation indicators of network marketing effect were page views, sales quantity, sales, the number of adding store to bookmark . According to our research, we find Taobao.com stores can use data mining tool to obtain the very good marketing effect.

Application of data mining technology and wireless network sensing technology in sports training index analysis

2020 ◽  
Author(s):  
Liqiu Qian ◽  
Jiatong Liu
Keyword(s):  
Data Mining ◽  
Test Accuracy ◽  
Analysis Method ◽  
Sports Training ◽  
Analysis Model ◽  
Data Types ◽  
Mining Technology ◽  
Accuracy Test ◽  
Index Analysis ◽  
Sensing Technology

Abstract The conventional analysis method can provide a general analysis of sports training index, but its ability is relatively low when analyzing niche data. To solve this problem, this paper proposes data mining technology. First, the indicator parameter classification is determined, then the data mining technology is imported, the sports training analysis mechanism is established through this technology, and the construction of the index analysis model is completed. The model is used to analyze the process of niche data mining, and effective data of training indicators are obtained. Deep learning is a method of machine learning based on representation of data.Through the coverage test, accuracy test and immunity test, the variable parameters of the comprehensive analysis capability are determined. Further calculation of this parameter shows that the comprehensive ability of the data mining application analysis method is improved by 37.14% compared with the conventional method, which is suitable for analysis of niche sports training indicators of different data types.

The Application of Data Mining in the Civil Aviation Accident Analysis

2012 ◽  
Vol 241-244 ◽  
pp. 3000-3004
Author(s):  
Dai Wu Zhu ◽  
Yin Ni
Keyword(s):  
Data Mining ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Attribute Reduction ◽  
Passive State ◽  
Civil Aviation ◽  
Accident Analysis ◽  
Analysis Method ◽  
Accident Prediction

At present, our analysis of the aviation accident mainly limited to the methods of mathematical statistics, the analysis method means of a single, and in a passive state, so the accident prediction is poor. This paper, basis on the rough set theory in data mining and preferential information ,we improve the rough set attribute reduction algorithm, and applied to civil aviation accident analysis to indentify the potential law of accident.

scholarly journals Self-evaluation in perspective of Surah Al-Isrā verse 14th

2021 ◽  
Vol 25 (2) ◽  
Author(s):  
Kasmah Usman ◽  
Achmad Abubakar ◽  
Muhsin Mahfudz
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Qualitative Data ◽  
Analysis Method ◽  
Literature Study ◽  
Qualitative Data Analysis ◽  
Self Evaluation ◽  
Data Analysis Method ◽  
Data Source ◽  
The Subject

This paper describes, knows, understands, and analyzes self-evaluation from the perspective of surah Al-Isrā verse 14. Self-evaluation in psychology is called self-introspection, which means self-correction, while in Islam, it is called muḥāsabah or muḥāsabah al-nafṣ. Muḥāsabah, in the person of a Muslim in particular, is an attempt to count and evaluate himself, how many sins he has committed and what good he has not done. This study is qualitative research under the literature study method, which focuses on the question of self-evolution from the perspective of surah Al-Isra verse 14. The data source comes from the ministry of religious affairs' translation of the Qur'an, and books related to self-evaluation contain self-evaluation from surah Al-Isra' verse 14. Data were analyzed using the qualitative data analysis method. Self-evaluation in QS Al-Isra': 14refers to the word al-ḥisāb, if an evaluation may be done by oneself on all the deeds that have been done. Explaining this, in surah Al-Isrā'a verse 14, Allah evaluates His creatures on the day of reckoning (the trial of the Hereafter). Therefore it is a man who is commanded to judge his own deeds. Suppose it is associated with the point of evaluation of education. In that case, the meaning of al-ḥisāb indicates that the assessment results depend on the intensity of the subject in completing the exam question. Therefore, the task of educators is to motivate the subject of the learner to learn and maximum when completing the exam question seriously.

scholarly journals Analysis of energy consumption structure based on K-means clustering algorithm

2021 ◽  
Vol 267 ◽  
pp. 01054
Author(s):  
Weizheng Kong ◽  
Yaohua Wang ◽  
Hongcai Dai ◽  
Liujun Zhao ◽  
Chunming Wang
Keyword(s):  
Data Mining ◽  
Energy Consumption ◽  
Structure Analysis ◽  
Clustering Algorithm ◽  
Analysis Method ◽  
Environmental Characteristics ◽  
Qinghai Province ◽  
Consumption Structure ◽  
Coefficient Method

In order to solve the problem of huge and messy data in the process of analyzing energy consumption structure in different regions, an energy consumption structure analysis method based on K-means clustering algorithm is proposed, and the elbow method and contour coefficient method are used to analyze the data in Qinghai Province. The consumption structure was analyzed and the algorithm was verified. The results show that the algorithm can efficiently and quickly perform data mining and clustering based on local economic and environmental characteristics, which greatly improve the convenience of energy consumption structure analysis.

scholarly journals An overall analysis method of urban road parking lots based on data mining

2021 ◽  
Vol 16 (2) ◽  
pp. 105
Author(s):  
Xu Dai ◽  
Wenyong Weng ◽  
Guanlin Chen ◽  
Jiang He ◽  
Jiapeng Shen
Keyword(s):  
Data Mining ◽  
Analysis Method ◽  
Parking Lots ◽  
Urban Road ◽  
Overall Analysis Method

scholarly journals Supervisi Teman Sejawat Sebagai Evaluasi Diri

2019 ◽  
Author(s):  
nurzula yenti basyaruddin
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Professional Competence ◽  
School Principals ◽  
Peer Assessment ◽  
Teacher Supervision ◽  
Analysis Method ◽  
Peer Supervision ◽  
Self Evaluation ◽  
Supervision Model

Academic supervision has a very important role in increasing the professional competence of teachers. Based on studies in the field the implementation of the supervision of teachers of SMK Negeri 10 Padang has not run optimally because of the inability of supervisors appointed for teacher supervision because supervisors are incompetent. The purpose of this study was to determine the application of the academic supervision model based on teacher self-evaluation and teacher peer assessment. This study uses a qualitative approach, research data obtained from interviews, observations and documentation. The data analysis method combines two forms, Miles & Huberman's analysis (1984). The technique of analyzing data uses qualitative data analysis through three lines of activities: (a) data reduction, (b) data presentation, and (c) verification of the conclusions. The results of observing the competence and completeness of teaching tools are better supervised teachers than peers who are supervisors. The need for school principals to evaluate peer supervision programs and appoint competent people as supervisors.

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