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Designing a Model to Handle Imbalance data Classification Using SMOTE and Optimized Classifier 4th

Designing a Model to Handle Imbalance Data Classification Us...

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4th international conference on data Management, analytics and Innovation, ICDMAI 2020

作者： Nimankar, Shraddha Shivaji Vora, Deepali Information Technology Department Vidyalankar Polytechnic Mumbai400037 India Information Technology Department Vidyalankar Institute of Technology Mumbai400037 India

ISBN: (纸本)9789811556159

Classification is a supervised learning process that is used to predict target class for an input variable. In an imbalanced dataset, the total count of examples of minority class is comparatively less than the total count of majority (negative) class. Various problems accompany during classification of imbalanced data. To eliminate this problem, there is a need to balance the dataset as well to achieve higher accuracy by optimizing the parameters of a classification model. The proposed system attempts to sample the imbalance dataset into a balanced dataset by using SLS (Safe-Level Synthetic Minority Oversampling Technique) and ADASYN (Adaptive Synthetic Sampling Approach) SMOTE techniques. On this balanced data, for classification, KNN (K-Nearest Neighbors) and SVM (Support Vector Machine) classifiers are used. The system proposes to improve the performance of the classifiers using metaheuristic Cuckoo Search optimization techniques for determining hyperparameters. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Support vector machines

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Noise data removal method of frequency response curve based on MNKriging interpolation algorithm

Noise data removal method of frequency response curve based ...

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international conference on Application of intelligent Systems in Multi-modal Information analytics, MMIA 2020

作者： Wei, Ling Guo, Zijuan Zhai, Shaolei Qi, Cong Wang, En Deng, Tao Chen, Wenhua Lu, Bing Yunnan Power Grid Co. Ltd. Electric Power Research Institute Kunming650217 China China Electric Power Research Institute Wuhan430074 China

ISBN: (纸本)9783030515553

The frequency response method is one of the most commonly used methods for determining the winding deformation of a power transformer. However, in the actual measurement, the frequency response curve of the test results will generate spiking data due to interference. If this impact cannot be accurately identified and reduced, the availability of the test results will be seriously affected, causing difficulties and even errors to the analysis and judgment of the test. A multidimensional nonuniform Kriging (MNKriging) interpolation algorithm is proposed in this paper to eliminate spiking data in the frequency response curve and improve the accuracy of the test results. The method constructs a nonuniform multidimensional deformation field model by using the optimal weight coefficient combination, and optimizes it with the particle swarm optimization algorithm to extend the Kriging interpolation to the multidimensional nonuniform field space. It has been applied to the interpolation of the transformer frequency response data. The results prove that the method reduces the noise interference to a certain extent, and therefore the points on the frequency response curve of the transformer winding deformation subject to noise interference are well recognized and repaired. © Springer Nature Switzerland AG 2021.

关键词： Power transformers

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Hybrid Method for Cluster Analysis of Big data 1st

Hybrid Method for Cluster Analysis of Big Data

引用

1st international conference on intelligent computing Techniques for smart Energy Systems (ICTSES)

作者： Dabas, Chetna Nigam, Gaurav Kumar Jaypee Inst Informat Technol Noida India

ISBN: (纸本)9789811502149;9789811502132

In big data analytics, deep interest in a communication known as computer-mediated has cropped up. While using traditional techniques, it is difficult to handle the data which is magnanimous. Hence, there exists a need for improved methods to handle this data since the past methods do not fit properly in all kinds of situations. Normally, there are various steps for the handling of big data like acquisition, preprocessing, and processing and analysis of this data in order to retrieve proper semantics out of that amount of data. In a similar context, clustering has evolved as a popular approach for organizing and analysis of big data. In the present research work, a hybrid method for analysis of big data is proposed. The hybrid approach consists of the blending of K-means, Ward hierarchical along with the interpolation technique. The evaluation of and validation of the proposed approach has been carried out for the city dataset in R language. In the present work, the number of clusters and the size of the data get varied while carrying out the results. The results of the proposed work reflect impressive execution times of the proposed method over the existing ones. The proposed method also presents possible recommendation for extracting specific semantics for providing insights to business recommendations.

关键词： Analysis Big data Clustering Hybrid method

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A Study on the Impact of Formal Social Support on the Mental Health of the Elderly in Urban and Rural China: Based on the 2015 CHARLS data

A Study on the Impact of Formal Social Support on the Mental...

引用

international conference on Machine Learning and Big data analytics for IoT Security and Privacy, SPIoT 2020

作者： Li, Dongfang School of Public Administration Zhongnan University of Economics and Law WuhanHubei430073 China

ISBN: (纸本)9783030627454

In the context of implementing the "Healthy China" strategy, the health problems of the elderly in urban and rural China cannot be ignored. Compared with other age groups, the elderly have a series of obvious changes in mental, physical and social functions, and they need care and help from family, society and government in all aspects. This article used the 2015 CHARLS micro data, selected the elderly over the age of 60 group as the research object, using Stata statistical software for data statistics and analysis, the Probit regression model and OLS regression model analysis of social support on urban and rural elderly health effects. It is found that formal social support also has a significant impact on the degree of depression and cognition in the elderly, indicating that formal social support also has a significant impact on the mental health of the elderly. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Health

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Big data on the Influence of SMEs in Export Trade Financing Costs

Big Data on the Influence of SMEs in Export Trade Financing ...

引用

international conference on Machine Learning and Big data analytics for IoT Security and Privacy, SPIoT 2020

作者： Wang, Jingqing School of Economics Shanghai University Shanghai China

ISBN: (纸本)9783030627423

Big data is regarded as one of the digital technologies and new production factors, profoundly affects the society and economy. SMEs are often difficult to obtain financing from banks and other institutions due to information asymmetry. However, big data has three characteristics, such as diversity, high efficiency, and great potential value. It is usually used in analysis, prediction and evaluation scenarios, which plays a certain role in reducing the financing cost of SMEs. Therefore, this paper analyzes the impact mechanism of big data on the export financing cost of SMEs by describing the current situation of the application of financial big data in China. The conclusion is that big data can reduce the cost of SMEs’ export financing by reducing the cost of credit assessment and risk control brought by information asymmetry, cross-border e-commerce platform and big data help banks to innovate credit model. In addition, according to the conclusion of the study, the paper also draws the Enlightenment of strengthening data sharing and cooperation among relevant departments, promoting the in-depth application of digital technologies in finance and international trade, and paying attention to the protection of data security and privacy. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Big data

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A Monitoring Method of Power Wireless Private Network Based on Distributed Big data Stream Processing 5th

A Monitoring Method of Power Wireless Private Network Based ...

引用

5th international conference on intelligent, Interactive Systems and Applications, IISA 2020

作者： Zheng, Weijun Liu, Junyu Liu, Zhe Fang, Jinghui Qi, Weiwu Xiao, Quan Jiaxing Power Supply Station State Grid Zhejiang Electric Power Co. Ltd. JiaxingZhejiang314033 China Beijing Fibrlink Communications Co. Ltd. Sihezhuang Road BeijingFengtai100070 China

ISBN: (纸本)9783030637835

Aiming at the problems of slow monitoring speed and low accuracy in the process of power wireless private network monitoring and automated operation and maintenance, a network monitoring method based on distributed big data stream processing is proposed. The monitoring data source of the system node to be tested is collected by sensors to grasp the operation status of the power grid and collect data in real time. At the same time, the Storm computing framework is used to process real-time detection of equipment faults in real time to meet the needs of rapid processing such as power grid status monitoring abnormal detection and fault analysis. Simulation experiment results show that the distributed big data stream processing proposed in this paper has a great advantage in the processing of data of electric power wireless private network, which greatly improves the data efficiency of the power grid. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： smart power grids

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intelligent Diagnosis of Middle and Low Voltage Distribution Network Fault Based on Big data

Intelligent Diagnosis of Middle and Low Voltage Distribution...

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international conference on Cyber Security Intelligence and analytics (CSIA)

作者： Hua, Jing Zhou, Yan-Ping Xiong, Wei Niu, Lin Zhao, Xu Honghe Univ Mengzi 661100 Yunnan Peoples R China Yunnan Power Gird Co Ltd Kunming Power Supply Co Kunming 650011 Yunnan Peoples R China

ISBN: (纸本)9783030152352;9783030152345

At present, the fault diagnosis information of the middle and low voltage distribution network is insufficient and scattered, and the fault diagnosis and positioning of the low and low pressure synthesis is urgently needed for the comprehensive utilization of power distribution automation, metering automation and 95598 customer service report. This paper carried out based on the large data of low voltage intelligent fault diagnosis and positioning analysis, further enhance the fault of the distribution and grab the dispatcher commander and people with disabilities positioning analysis efficiency, improve the level of fault disposal of the lean management.

关键词： Big data Middle and low voltage distribution network intelligent diagnosis

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Research on the Integration and Innovation of Cloud computing Technology and Enterprise Management by Internet Companies

Research on the Integration and Innovation of Cloud Computin...

引用

international conference on Cyber Security Intelligence and analytics (CSIA)

作者： Jia, Dian Qinghai Nationalities Univ Sch Business Adm Xining 810007 Qinghai Peoples R China

ISBN: (纸本)9783030152352;9783030152345

With the rapid development of science and technology, the use and dependence of computers in all walks of life is increasing. Human beings have entered the era of "Internet +". In order to better meet the challenges brought by the current social development, enterprise management must recognize the importance of cloud data extraction technology in management, so as to continuously innovate the management model. This paper expounds the concept of cloud data extraction technology, the application and innovation of cloud data extraction technology by human resources management, the challenges faced by human resources management of enterprises in the era of cloud data extraction technology and the strategies of human resources management reform.

关键词： Internet enterprise Human resource management Cloud data extraction technology Innovation

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An Empirical Study of English Teaching Model in Higher Vocational Colleges Based on data Analysis 2nd

An Empirical Study of English Teaching Model in Higher Vocat...

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2nd Big data analytics for Cyber-Physical System in smart City, BDCPS 2020

作者： Zhao, Wenbo Jilin Engineering Normal University ChangchunJilin130052 China

ISBN: (纸本)9789813345737

With China’s accession to the WTO, the rapid development of market economy and the acceleration of global integration, China’s international status continues to improve. Professional English continues to infiltrate professional positions in various industries, and English teaching in higher vocational industries is particularly important. The goal of China’s higher vocational English course is to train students to use the English which they have learned in future professional positions. Based on a questionnaire survey of 324 students from Jilin Engineering Normal University, the article conducted a one-year empirical study on two tourism management classes from the perspective of the EOP Teaching Theory. Through comparative analysis of the data before and after the experiment, it is proved that the career-oriented teaching model is effective in vocational college English teaching. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Surveys

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14th international conference on Innovative Mobile and Internet Services in Ubiquitous computing, IMIS 2020

14th International Conference on Innovative Mobile and Inter...

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14th international conference on Innovative Mobile and Internet Services in Ubiquitous computing, IMIS 2020

ISBN: (纸本)9783030503987

The proceedings contain 62 papers. The special focus in this conference is on Innovative Mobile and Internet Services in Ubiquitous computing. The topics include: A convolutional neural network model for object detection based on receptive field;the study and realization of a binary-based address sanitizer based on code injection;modeling the risk of data breach incidents at the firm level;iot cryptosecurity: overview and potential solutions;"guess who?" large-scale data-centric study of the adequacy of browser fingerprints for web authentication;adaptive architecture and principles for securing the iot systems;a visual particle system based on mechanism model data in digital twin;an eeg emotion classification system based on one-dimension convolutional neural networks and virtual reality;iot node elimination and selection for completing tasks in opportunistic networks: a fuzzy logic approach;implementation of a moving omnidirectional access point robot and a position detecting system;uplink resource allocation based on short block-length regime in heterogeneous cellular networks for smart grid;multiuser channel access with rts-cts algorithm for li-fi communications;design and implementation of a novel testbed for automotive security analysis;reinforcement learning-based fuzzing technology;research on iot device vulnerability mining technology based on static preprocessing and coloring analysis;computer-aided english education in china: an online automatic essay scoring system;survey of cyberspace resources scanning and analyzing;modeling and analysis of cyberspace threat sources based on vulnerabilities;a dynamic instrumentation technology for iot devices;a fuzzy-based simulation system for driving risk management in vanets considering weather condition as a new parameter.

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