Construction and Reduction Methods of Web Spam Identification Index System

2019 ◽  
Vol 12 (3) ◽  
pp. 202-211
Author(s):  
Yuancheng Li ◽  
Rong Huang ◽  
Xiangqian Nie
Keyword(s):  
Index System ◽  
Rapid Development ◽  
Recognition Rate ◽  
Computing Power ◽  
Detection Model ◽  
Web Spam ◽  
Reduction Methods ◽  
Massive Scale ◽  
The Index System ◽  
The Web

Background: With the rapid development of the Internet, the number of web spam has increased dramatically in recent years, which has wasted search engine storage and computing power on a massive scale. To identify the web spam effectively, the content features, link features, hidden features and quality features of web page are integrated to establish the corresponding web spam identification index system. However, the index system is highly correlation dimension. Methods: An improved method of autoencoder named stacked autoencoder neural network (SAE) is used to realize the reduction of the web spam identification index system. Results: The experiment results show that our method could reduce effectively the index of web spam and significantly improves the recognition rate in the following work. Conclusion: An autoencoder based web spam indexes reduction method is proposed in this paper. The experimental results show that it greatly reduces the temporal and spatial complexity of the future web spam detection model.

Research on promoting factors of “Internet Plus Innovation and Entrepreneurship” based on the perspective of cloud analysis and fuzz analysis method

2021 ◽  
Vol 40 (4) ◽  
pp. 8563-8568
Author(s):  
Weiwei Yu ◽  
Sijie Wang
Keyword(s):  
Index System ◽  
Rapid Development ◽  
Development Stage ◽  
Evaluation Index System ◽  
The Internet ◽  
Analysis Method ◽  
Innovation Activities ◽  
The Index System ◽  
Fusion Analysis ◽  
Cloud Analysis

With the rapid development of “Internet plus” in our country, the scope of its influence is also constantly expanding. Especially in recent years, China puts forward “mass entrepreneurship and innovation”, which makes the “cloud analysis” and “Internet plus” and “innovation” to start cross-border integration. Starting with the background, development stage, environment and other aspects of Internet-plus entrepreneurship and innovation under the cloud analysis, this paper analyzes the influence of various factors in the process of Internet plus entrepreneurship and innovation and the influence degree of various factors on entrepreneurship and innovation in depth, constructs the entrepreneurship and innovation evaluation index system based on the “Internet plus”, and finally, combined with an example to verify the index system and fusion analysis method. The verification results show that the “Internet plus” entrepreneurship and innovation based on the perspective of cloud analysis in this paper can not only directly demonstrate the promoting factors of “entrepreneurship and innovation “under Internet plus”, but also be scientific and effective when evaluating the “Internet plus” entrepreneurship and innovation activities from the perspective of cloud analysis.

Research on Production Quality Control and Efficiency Measurement Based on DEA-Benchmark Model

2012 ◽  
Vol 190-191 ◽  
pp. 151-155
Author(s):  
Yin Sheng Yang ◽  
Chang Qing Guo ◽  
Yun Cheng ◽  
Jun Yang
Keyword(s):  
Quality Control ◽  
Index System ◽  
Rapid Development ◽  
Production Quality ◽  
Production Quality Control ◽  
Benchmark Model ◽  
Science Technology ◽  
The Index System ◽  
Technology And Economy

With rapid development of science, technology and economy, requirements of production quality control were more and more stringent. A new method to solver the problem was given in this paper. First we made up the index system of production quality control. Second the steps of the DEA-Benchmark model which was derived from deviation DEA model were put forward. At last, applying the model, we measured the quality of ten varieties of production.

scholarly journals Research on Utility Evaluation of Grid Investment considering Risk Preference of Decision-Makers

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang
Keyword(s):  
Index System ◽  
Evaluation Model ◽  
Risk Preference ◽  
System Optimization ◽  
Decision Makers ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Risk Appetite ◽  
Utility Evaluation ◽  
The Index System

Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.

scholarly journals Cloud-based intelligent self-diagnosis and department recommendation service using Chinese medical BERT

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Junshu Wang ◽  
Guoming Zhang ◽  
Wei Wang ◽  
Ka Zhang ◽  
Yehua Sheng
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Medical Service ◽  
Rapid Development ◽  
Medical Knowledge ◽  
Language Models ◽  
Computing Environment ◽  
Computing Power ◽  
Cloud Computing Environment ◽  
Proposed Model

AbstractWith the rapid development of hospital informatization and Internet medical service in recent years, most hospitals have launched online hospital appointment registration systems to remove patient queues and improve the efficiency of medical services. However, most of the patients lack professional medical knowledge and have no idea of how to choose department when registering. To instruct the patients to seek medical care and register effectively, we proposed CIDRS, an intelligent self-diagnosis and department recommendation framework based on Chinese medical Bidirectional Encoder Representations from Transformers (BERT) in the cloud computing environment. We also established a Chinese BERT model (CHMBERT) trained on a large-scale Chinese medical text corpus. This model was used to optimize self-diagnosis and department recommendation tasks. To solve the limited computing power of terminals, we deployed the proposed framework in a cloud computing environment based on container and micro-service technologies. Real-world medical datasets from hospitals were used in the experiments, and results showed that the proposed model was superior to the traditional deep learning models and other pre-trained language models in terms of performance.

Study on Prediction of the Peasants’ Income Based on SVM

2014 ◽  
Vol 687-691 ◽  
pp. 5169-5172
Author(s):  
Li Na Zhang ◽  
Bo Yang
Keyword(s):  
Social Factors ◽  
Index System ◽  
Statistical Data ◽  
Influence Factors ◽  
Prediction Method ◽  
Svm Model ◽  
The Index System ◽  
Relationship Of ◽  
System Designs ◽  
Computing Speed

China is a big agricultural country, effective prediction of peasants’ income is very important. This study mainly uses the SVM theory to predict the peasants’ income. By analyzing the influence factors of peasants’ income, establishes the index system, that is corresponding relationship of peasants’ income and factors of social influence, According to this index system, designs the prediction method of peasants’ income based on SVM. Bases on the statistical data of social factors and peasants’ income between 1990-2012 in china, to train the SVM model, at the same time, the kernel function and parameters of SVM used were setting and compared. The experimental results show that the accuracy of RBF function is 90.7%, the time is 98ms, has higher accuracy and faster computing speed.

scholarly journals The study on the index system of the smart city based on knowledge map

2020 ◽  
Vol 1656 ◽  
pp. 012015
Author(s):  
Jialu Liu ◽  
Huicong Ning ◽  
Yuanhui Bai ◽  
Tianzi Yan
Keyword(s):  
Index System ◽  
Smart City ◽  
Knowledge Map ◽  
The Index System

scholarly journals Improved Set Pair Analysis and Its Application to Environmental Impact Evaluation of Dam Break

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 821 ◽  
Author(s):  
Meimei Wu ◽  
Wei Ge ◽  
Zongkun Li ◽  
Zening Wu ◽  
Hexiang Zhang ◽  
...  
Keyword(s):  
Environmental Impact ◽  
Impact Evaluation ◽  
Evaluation Model ◽  
Rapid Development ◽  
Dam Break ◽  
Good Effect ◽  
Set Pair Analysis ◽  
Management Measures ◽  
The Index System ◽  
Pair Analysis

Despite the rapid development of risk analysis in dam engineering, there is a relative absence of research on the environmental impact of dam break. As a systematic theory, set pair analysis has a good effect in dealing with uncertainties, although the result is relatively rough and easy to distort. A connection degree of five grades and a generalized set of potential are introduced to improve traditional set pair analysis. Combined with the index system, the evaluation model of the environmental impact of dam break is established, which is based on generalized set pair analysis. Taking Sheheji Reservoir dam as an example, a comparison of evaluation results of fuzzy mathematics theory and generalized set pair analysis is made, which verifies the scientificity and practicability of the method proposed in this paper. The results show that the evaluation grade of the environmental impact of dam break at Sheheji Reservoir is serious, and appropriate management measures should be taken to reduce the risk.

The Risk Analysis of New Energy Power Generation

2014 ◽  
Vol 962-965 ◽  
pp. 1787-1791
Author(s):  
Qiu Yue Li ◽  
Jie Ping Han
Keyword(s):  
Risk Factors ◽  
Energy Source ◽  
Power Generation ◽  
Risk Analysis ◽  
Index System ◽  
Environment Management ◽  
Low Level ◽  
New Energy ◽  
The Index System ◽  
Risk Degree

The new energy power generation in China has rapidly developed, and many generation companies have invested in new energy source. Some projects cannot achieve the desired results as the characters as dispersion, instability, and low level of technique. This article has established the index system of the risk degree for new energy power generation, which included the the risk degree of politics, economy, technology, environment, management. And making the analysis of the risk factors, it can provide the significant meaning of the investment for the new energy power generation companies.

scholarly journals Research on Liquor Storage Based on Statistical Analysis Model

2021 ◽  
Vol 5 (3) ◽  
Author(s):  
Xuhua Xu
Keyword(s):  
Index System ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Evaluation Index System ◽  
Classification Model ◽  
Analysis Model ◽  
The Index System ◽  
Storage Methods ◽  
Physical And Chemical

According to the physical and chemical indexes of different periods, different storage containers and different storage sites, a two overall T test was used to show that there were significant differences in physical and chemical indexes of liquor body in different detection sites. Correlation analysis of wine storage in different storage methods by Spearman correlation coefficient. By using the principal component analysis method, the comprehensive evaluation index system of the quality of the wine body was constructed, and the classification model of the detection location based on the comprehensive evaluation was established by using the index system. The detection sites were classified, and the results showed that the detection sites were divided into four grades.

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