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检索条件"任意字段=International Conference on Intelligent and Smart Computing in Data Analytics, ISCDA 2020"

共 3246 条记录，以下是1541-1550 订阅

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data Mining of Educational Service Quality of Professional Degree Masters Based on Improved Expectation Confirmation Model

Data Mining of Educational Service Quality of Professional D...

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

作者： Xiang, Yu Liu, Jianmin Guangxi University of Finance and Economics Nanning530007 China National Institute of Development Administration Bangkok10240 Thailand

ISBN: (纸本)9783030627454

Based on the theory of Expectation Confirmation, this article discusses the formation mechanism of graduate education satisfaction from the perspective of graduate students’ expectation and perception quality, constructs a research model of graduate education satisfaction. We conduct data mining for graduate students of Guangxi University of Finance and economics, analyzes the influencing factors of graduate education satisfaction, and confirms the expectation, perception performance and expectation through the theory of Expectation Confirmation. The satisfaction is verified to provide theoretical basis and decision-making reference for improving the quality of graduate education in research universities, strengthening the cultivation of innovative talents and promoting the development of graduate education in China. The research in this article shows that the establishment and promotion of the school image through various methods has a significant positive impact on improving graduate satisfaction. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： data mining

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Predicting the Cricket Match Outcome Using ANFIS Classifier for Viewers Opinions on Twitter data 4th

Predicting the Cricket Match Outcome Using ANFIS Classifier ...

引用

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

作者： Anbazhagu, U.V. Anandan, R. Chennai600117 India

ISBN: (纸本)9789811556159

Fortunately or unfortunately the new era of web-dependent life has made our decision-making to start from the web ranking;one can express sentiments with opportunity. The decision is additionally examined via web-based networking media, for example, Twitter. In this article, endeavors are made to examine the practicality of utilizing aggregate learning acquired micro post presented on Twitter to anticipate the victor of a Cricket coordinate. For forecasts, we utilize three unique strategies that rely upon the all-out tweet behind the amusement for group, fan assessments toward group, and fans score expectations on twitter. By joining these strategies, we arrange winning group expectation in a Cricket diversion before the beginning of amusement. Our outcomes are sufficiently promising to be utilized for winning group figure. Besides, the adequacy of Adaptive Neuro-Fuzzy Interference System (ANFIS) is to recover tweets from Twitter, examine deliberately, and draw a precise outcome dependent on its inspiration and cynicism. In this, we have displayed an execution of unsupervised technique for nostalgic investigation for IPL 2019 match. Here we can anticipate the result of cricket coordinate before its initiation, in light of the tweets shared by their fans utilizing Twitter. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Pattern recognition

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Judicial statistics based on big data context

Judicial statistics based on big data context

引用

1st international conference on Big data analytics for Cyber-Physical System in smart City, BDCPS 2019

作者： Wan, Xiao Jin, Pengnian Zhejiang University HangzhouZhejiang310008 China

ISBN: (纸本)9789811525674

Today’s big data is changing the social relationship between people. Its wide application has brought us changes in various fields. This is an unprecedented opportunity and challenge in the field of judicial statistics, which will inevitably have a broad and far-reaching impact on the traditional legal practice model. data analysis is very important in the prevention of illegal and criminal activities, the effective conduct of reconnaissance activities, the collection of criminal evidence, the acquisition of judicial intelligence, the criminal ruling of similar cases and the reflection of popular legislative demands, judicial injustice, and judicial corruption effect. In addition, the era of big data has a positive effect on the construction of a country’s complete judicial system, including institutional legal institutions and the selection of professionals. At the same time, it also has a positive application and development of judicial disclosure and judicial statistics profound impact. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Big data

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A Review of General data Protection Regulation for Supply Chain Ecosystem 13th

A Review of General Data Protection Regulation for Supply Ch...

引用

13th international conference on Innovative Mobile and Internet Services in Ubiquitous computing (IMIS)

作者： Dasgupta, Avirup Gill, Asif Qumer Hussain, Farookh Univ Technol Sydney Sydney NSW Australia

ISBN: (纸本)9783030222635;9783030222628

The data-intensive digital supply chain management (SCM) ecosystems seem to be impacted by the recent changes in the regulations and advancement in technologies such as Artificial Intelligence, Big data, analytics, Networking, IoT including proliferation of less expensive hardware devices. There is limited guidance available on how to govern the logistics sector, particularly from a regulatory compliance perspective. Through this paper, we investigate the impact of General data Protection Regulation (GDPR) on digitized SCM. The key questions are: What are the GPDR specific legal obligations? What is the best approach to manage data access, quality, privacy, security and ownership effectively in SCM? This research paper aims to assist researchers and practitioners to understand the impact of GDPR on SCM, provide the 4I (Identify, Insulate, Inspect, Improve) Framework and its applicability to streamline the GDPR compliance activities.

关键词： Ecosystems

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intelligent Farming System With Weather Forecast Support and Crop Prediction

Intelligent Farming System With Weather Forecast Support and...

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5th international conference on computing, Communication and Security (ICCCS)

作者： Shandilya, Udit Khanduja, Vidhi Symbiosis Int Deemed Univ Symbiosis Inst Management Studies Pune Maharashtra India SALITER Comp Engn Dept Ahmadabad Gujarat India

ISBN: (纸本)9781728191805

Agriculture has been a primacy of the Indian economy. Even though it is a main source of income for a majority of the Indian population, it still stands technologically backward. To quash the problems of farmers, the proposed system helps employing a smart irrigation system in the field of agriculture. In the proposed system, we have used state-of-the-art technology to provide the water to the agricultural field based on the soil moisture value, which is detected using IoT sensor. The information received by the sensors is sent to the micro-controller. The system is activated using the mobile application, this can be accomplished with the help of ON/OFF buttons provided in the application. Also, this system when switched to automatic, it irrigates the field to a particular threshold soil moisture value when the soil moisture is low. The pump is switched ON based on the moisture content. Further, the system also provides data of the previous year's crop production in a particular area and weather forecast through an android application. This application also provides information about the latest agriculture advice, Government schemes for farmers, latest market prices, various farming tips in regional language.

关键词： intelligent Farming Farming smart Farming Digital Farming smart Irrigation System Automation in farming Sensor based irrigation

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Prediction of different classes of skin disease using machine learning techniques 3rd

Prediction of different classes of skin disease using machin...

引用

3rd international conference on smart Innovations in Communications and Computational Sciences, ICSICCS 2020

作者： Verma, Anurag Kumar Pal, Saurabh Kumar, Surjeet MCA Department VBS Purvanchal University JaunpurUP India Department of Computer Applications VBS Purvanchal University JaunpurUP India

ISBN: (纸本)9789811553448

Skin diseases are very common nowadays and spreading widely among people in present time. With the growth of computer-based technology and relevance of different machine learning methods in current decade, the development of skin disease prediction using classifier methods is analytical and exact. Therefore, development of data mining techniques can efficiently distinguish classes of skin disease is importance. A new method was developed using four types of classification methods which is used in this research paper. We use skin disease dataset for analyzing various machine learning algorithms to classify the different classes of skin disease. The proposed data mining techniques were checked on skin disease datasets for analyzing six types of skin disease, which are psoriasis, seborrheic dermatitis, lichen planus, pityriasis rosea, chronic dermatitis, and pityriasis rubra. The results of base learners used in this paper are more accurate than the results obtained by previous studies. © Springer Nature Singapore Pte Ltd 2021.

关键词： data mining

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Design of Embedded data Acquisition Integrated System Based on SQLite database

Design of Embedded Data Acquisition Integrated System Based ...

引用

international conference on Cyber Security Intelligence and analytics (CSIA)

作者： Xing, Jin Zhang, Yonghui Hainan Univ Coll Informat Sci & Technol Haikou Hainan Peoples R China

ISBN: (纸本)9783030152352;9783030152345

The modern data acquisition system gradually develops in the direction of strong real-time, multi-parameter, high-precision, and large-capacity. For this reason, this article has designed a kind of data acquisition system with strong real-time and can be stored in the database. The controller in this system is designed based on the LPC1769 chip and realizes multi-module plug-and-play expansion. The computer program is achieved by C# language, supported by Iocomp Component Library to build the UI interface, and completes the storage and management of large amounts of data by using SQLite database. data is transmitted between the computer and the controller according to the serial protocol. In order to improve the accuracy, the system also provides the ADC self-check function. The embedded data acquisition system can collect data in real time by the controller, and can provide comprehensive data with acquisition time as in the test. The storage of the data can be performed by the computer program, both the dynamic and static curve of the data can be displayed and the analysis of the data can be completed.

关键词： Component Embedded system data acquisition integrated system SQLite database Communication protocol ADC self-check

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A Shared Blockchain intelligent Public Protection Service Framework 1

A Shared Blockchain Intelligent Public Protection Service Fr...

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1st international conference on Advances in Computational Science and Engineering, ICACSE 2020

作者： Reddy, Gangireddy Prabhakar Kalaiselvi Geetha, M. Sureshanand, M. Jaanaa Rubavathy, S. Department of Computer Science and Engineering Malla Reddy Institute of Engineering and Technology Telangana Secunderabad India Department of Computer Science and Engineering Annamalai University Tamil Nadu Chidambaram India Department of Computer Science and Engineering Sri Sairam Engineering College Tamil Nadu Chennai India Department of Electrical and Electronics Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai India

With accelerated technical advancements in the IoT network, an intelligent scheme of public security is possible with the incorporation of heterogeneous data processing systems, with which public security services will collaboratively be provided. While this system design has always been pursued by IoT and Cyber internal environments, the provision of scalable and flexible IoT-based PLC frames in a legacy system is challenging. Traditional security techniques are sometimes founded on a tall structure which can be an in efficiency or a point let-down. Enthused through micro services also blockchain technologies, this article offers the smart Public Security Architecture of Blockchain-Enabled Decentralized Micro services. A micro service-based authentication framework is implemented within a licence blockchain network for safe monitoring of data access in a PLC environment. Such functionality is divided into a single, intelligently organised package micro service which is dispersed at fog and edge node computing. A comprehensive experimental study found that the Blend MAS proposed would provide decentralised, scalable and secure intelligence gathering and access controls to the purchaser of IoT based PLC systems. © Published under licence by IOP Publishing Ltd.

关键词： Blockchain

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A Context-Sensitive Cloud-Based data Analytic Mobile Alert and Optimal Route Discovery System for Rural and Urban ITS Penetration 4th

A Context-Sensitive Cloud-Based Data Analytic Mobile Alert a...

引用

4th EAI international conference on intelligent Transport Systems, INTSYS 2020

作者： Balogun, Victor Sarumi, Oluwafemi A. Obe, Olumide O. University of Winnipeg WinnipegMB Canada The Federal University of Technology Akure Nigeria

ISBN: (纸本)9783030714536

The rapid growth in the number of road users and poor road management have been deemed responsible for the upsurge in road congestions and fatalities in recent times. Many of the lives lost was due to inadequate or inefficient public-accessible alerts system and rerouting mechanisms during emergencies. The intelligent Transportation System (ITS) was anticipated as a solution to the numerous road networks usage problems. Recently, some developed countries have implemented some forms of ITS initiatives. But the transition of the road networks to a fully integrated ITS has been slow and daunting due to the huge cost of implementation. The use of mobile devices as backbone infrastructure for ITS networks during public emergencies has been proposed. Despite the advantage of being a cheap alternative, low computing power of mobile devices limit their potentials to support the expected Big data ITS traffic. In this paper, we propose a cloud-based context-sensitive ITS infrastructure that uses the cloud as a primary aggregator of traffic messages plus a hybrid data analytics algorithm. The algorithm combines the enhanced features of Apache-Spark and Kafka frameworks blended with collaborative filtering using the ensemble machine learning classifier. The novelty of our approach stems from its ability to provide load balancing routing services based on the users’ profiles, and avoid congestion-using the Dynamic Round Robin scheduling algorithm to reroute users with similar profiles. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Roads and streets

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Proceedings of 2020 ACM international conference on intelligent computing and its Emerging Applications, ICEA 2020

Proceedings of 2020 ACM International Conference on Intellig...

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2020 ACM international conference on intelligent computing and its Emerging Applications, ICEA 2020

ISBN: (纸本)9781450383042

The proceedings contain 51 papers. The topics discussed include: the implementation of smart aquarium system with intelligent sensors;a study on the mechanism of blockchain cryptocurrency implementation: learning coin of campus;security protection with dynamic assigned address mechanism in industrial control systems;differential privacy protection with group onion routing based on AI-based URL classification;MiningBreastCancer: selection of candidate gene associated with breast cancer via comparison between data mining of TCGA and text mining of PubMed;blockchain develops student positioning system on campus;developing a model to explore consumer buying behaviors through long short-term memory;a clicks-and-mortar smart system;and building sustainable business indices for hotel industry from green supply chain perspective.

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