2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)最新文献_第10页

Learning And Predicting Diabetes Data Sets Using Semi-Supervised Learning 使用半监督学习学习和预测糖尿病数据集

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9058276

Radhika Tayal, A. Shankar

{"title":"Learning And Predicting Diabetes Data Sets Using Semi-Supervised Learning","authors":"Radhika Tayal, A. Shankar","doi":"10.1109/Confluence47617.2020.9058276","DOIUrl":"https://doi.org/10.1109/Confluence47617.2020.9058276","url":null,"abstract":"Now these days, many tools have been developed by the researchers to analyze the impact of diabetes disease on common people within a definite period. However, all these tools have predicted the results based on the labeled dataset or smaller dataset. But in a recent environment, we have collected a large amount of data using both online and offline media. Consequently, data are generated from heterogeneous sources, are in unstructured form and voluminous, etc. As a result, it is not possible to use huge data by using traditional prediction algorithms because they work only on the structured dataset. In this paper, we have used the semi-supervised learning approach that works on a partially labeled dataset for predicting diabetes disease. The partial dataset is the combination of a labeled and unlabelled dataset. For prediction, we have considered 80% unlabelled datasets and 20% labeled datasets. We developed a user based interface for the user to build their prediction model using labeled and unlabeled datasets and analyze the data according to their requirements and interest. Our main objective is to develop a diabetes prediction system that can be used by the researcher and the common people using with minimal labelled datasets.","PeriodicalId":180005,"journal":{"name":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130908586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Android Based Wireless Positioning System Android无线定位系统

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9058144

Himanshu Didden, Yashvi Sikka, Misha Kakkar

引用次数: 0

Sentiment Analysis of a Product based on User Reviews using Random Forests Algorithm 基于用户评论的随机森林算法产品情感分析

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9058128

Shailendra Narayan Singh, Twinkle Sarraf

{"title":"Sentiment Analysis of a Product based on User Reviews using Random Forests Algorithm","authors":"Shailendra Narayan Singh, Twinkle Sarraf","doi":"10.1109/Confluence47617.2020.9058128","DOIUrl":"https://doi.org/10.1109/Confluence47617.2020.9058128","url":null,"abstract":"After many sentiment analysis as well as many types of methods classify the reviews that is based on test data and reviewer’s ratings which uses training., after reading reviews it is seen that star rating of reviewer do not always give a precise measure of his sentiment. This paper primarily focuses on analyzing customer reviews from the e-commerce space. Upon surveying popular e-commerce websites it can be observed that in several instances the product rating given by a customer is not consistent with the product review written by him/her. The problem is made complex by the fact that there is no standard scale to measure the rating that the user gives and the rating of the product are instinctive to the customers’ view. In several cases it is seen that a product is rated 4 out of 5. However, the reviews detail that the customer’s experience with the product is not favourable. Indeed, text reviews are a true picture of the product. To get rid of this problem, the stated system will give a boolean result i.e. whether the product is good or bad and the user does not need to read all the reviews to analyze the product.","PeriodicalId":180005,"journal":{"name":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131584903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

A Multiband (WWAN/Bluetooth/WiMAX) Square Monopole Antenna with Simple Structure for Wireless Communication System Applications And Optimization by using Artificial Intelligence 一种结构简单的多频段(WWAN/Bluetooth/WiMAX)方形单极天线，用于无线通信系统应用及人工智能优化

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9058135

Varun Malik, Taruna Sharma, Manish Sharma

引用次数: 2

Socio Economic Analysis of India with High Resolution Satellite Imagery to Predict Poverty 用高分辨率卫星图像对印度进行社会经济分析以预测贫困

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9057972

P. S. Das, Harsh Chhabra, S. Dubey

{"title":"Socio Economic Analysis of India with High Resolution Satellite Imagery to Predict Poverty","authors":"P. S. Das, Harsh Chhabra, S. Dubey","doi":"10.1109/Confluence47617.2020.9057972","DOIUrl":"https://doi.org/10.1109/Confluence47617.2020.9057972","url":null,"abstract":"Eradicating poverty is the numero uno objective of the United Nations for sustainable development of the world by 2030. But, in order to develop a feasible, targeted solution to this problem, an exact poverty map is required. In India, especially in rural areas, there is a dearth of reliable and frequent data related to indicators of poverty line as the national statistics division of the country releases data only once in five years. In this paper, we look at an alternative to the slow, ineffective collection of data on ground: mapping poverty from outer space using medium and high-resolution satellite imagery. Using both satellite imagery and survey data for the rural areas of India, we review how machine learning tools like convolutional neural networks have been harnessed to efficiently identify image features that help us effectively predict socio-economic indicators of poverty. We also explore how these methods offer promising means for policy makers to tackle poverty at the grassroot level and a potential for application across several domains of science.","PeriodicalId":180005,"journal":{"name":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120891450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Customer Intentions Towards Autonomous Vehicles in South Africa: An Extended UTAUT Model 南非消费者对自动驾驶汽车的意向:一个扩展的UTAUT模型

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9057821

Gordon Morrison, Jean-Paul Van Belle

{"title":"Customer Intentions Towards Autonomous Vehicles in South Africa: An Extended UTAUT Model","authors":"Gordon Morrison, Jean-Paul Van Belle","doi":"10.1109/Confluence47617.2020.9057821","DOIUrl":"https://doi.org/10.1109/Confluence47617.2020.9057821","url":null,"abstract":"Fully Autonomous Vehicles (AVs), or self-driving vehicles, are expected to enter the automobile market in the coming years. This technology is expected to provide society with a range of benefits, from increased mobility for the elderly and adolescents, to decreasing carbon emissions and improving traffic flow. These benefits, however, will not be achieved unless consumers are willing to accept the technology into their lives and daily routine. In acknowledging this potential barrier to AV proliferation, this study developed a modified Unified Theory of Acceptance and Use of Technology (UTAUT) model with constructs Trust in Safety and Hedonic Motivation added. Data was collected by an online questionnaire. Effort expectancy, performance expectancy, facilitating conditions, and social influence were found to have a statistically significant positive influence on behavioural intention, with performance expectancy having the greatest impact. Trust in safety was found to consist of two separate dimensions: fears versus assurances and trust. The findings of this study can be used by government and private sectors to better understand consumers’ current perception of the technology and to introduce supporting legislation accordingly.","PeriodicalId":180005,"journal":{"name":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116114975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Mobile Banking a Myth or Misconception 手机银行是神话还是误解

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9057869

Pooja Tiwari, V. Garg, Abhishek Singhal, N. Puri

{"title":"Mobile Banking a Myth or Misconception","authors":"Pooja Tiwari, V. Garg, Abhishek Singhal, N. Puri","doi":"10.1109/Confluence47617.2020.9057869","DOIUrl":"https://doi.org/10.1109/Confluence47617.2020.9057869","url":null,"abstract":"In the present scenario, high-speed living people need to understand more suitable and safe devices to improve their quality of life. For acquiring this target there is an advanced financial product known as Mobile Banking. This is fully secured as well as much simpler to be utilized specifically by the senior citizens and children. This research has proposed an innovative model of Mobile Banking and which is empirically tested its adoption in BRICS nation’s customers by acquiring the data via questionnaire amongst 160 BRICS nations’ reversers. In this research, the essential nature of this product will be examined in the situation of the BRICS nation as well as the readiness of the BRICS nations to accept this progress with the use of survey methodology through questionnaires. The results are articulated by using the software named as SPSS and results show that many BRICS nationals who have already been presented as respondents are willing to adopt this product if it is more secure as well as results show that Indians prefer security features over other features whereas other countries prefer convenience features of Mobile Banking.","PeriodicalId":180005,"journal":{"name":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116453193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative Analysis of Epidemic Alert System using Machine Learning for Dengue and Chikungunya 基于机器学习的登革热和基孔肯雅热疫情预警系统的比较分析

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9058048

Aabhas Dhaka, Prabhishek Singh

{"title":"Comparative Analysis of Epidemic Alert System using Machine Learning for Dengue and Chikungunya","authors":"Aabhas Dhaka, Prabhishek Singh","doi":"10.1109/Confluence47617.2020.9058048","DOIUrl":"https://doi.org/10.1109/Confluence47617.2020.9058048","url":null,"abstract":"The Rapid spread of a disease is known as an epidemic. The catastrophe brought by an epidemic not only effects the people of an area, but also brings about a lot of distress in every sector of social strata. An epidemic alerting system has a potential to carve the path how medical surveillance could become more efficient. The epidemic causing diseases are usually vector borne. The diseases are spread by pathogens present in these vectors. An epidemic alerting system could predict how the weather conditions and several other factors effect the growth and propagation of these vectors. The weather conditions could be predicted using the high-end instruments and satellites currently available. Using this prediction, we could forecast the next targets of the epidemic. To implement this epidemic alert system, four algorithms are used namely Random Forest Regression, Decision Tree Regression, Support Vector Regression and Multiple Linear Regression. For dengue, the state wise cases data of the year 2013 to 2017 has been used in the system while for chikungunya the data used is of the year 2013 to 2016. This dataset has been downloaded from a government website, i.e., https://www.data.gov.in/. For the case of dengue, the model has been trained on the data of the year 2013 to 2016 and predictions of the year 2017 have been done. On the other hand, the model has been trained on the data of the year 2013 to 2015 and predictions for the year 2017 have been made regarding Chikungunya. At last, a contrastive analysis has been made on the four algorithms used for both the diseases.","PeriodicalId":180005,"journal":{"name":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123687843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Survey of Depression Detection using Social Networking Sites via Data Mining 基于数据挖掘的社交网站抑郁检测调查

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9058189

Aqsa Zafar, Dr. Sanjay Chitnis

引用次数: 21

Optimized routing method for wireless sensor networks based on improved ant colony algorithm 基于改进蚁群算法的无线传感器网络优化路由方法

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) Pub Date : 2020-01-01 DOI: 10.1109/Confluence47617.2020.9058312

S. Khapre, Suhail Chopra, Arshad Khan, Pavika Sharma, A. Shankar

引用次数: 6