发布求助
文献互助 智能选刊 最新文献

Technoarete Transactions on Advances in Data Science and Analytics最新文献

筛选
英文 中文
Comparative Study The Application of Data Science to Wildfire Investigations 数据科学在野火调查中的应用比较研究
Technoarete Transactions on Advances in Data Science and Analytics Pub Date : 2022-08-15 DOI: 10.36647/ttadsa/01.02.a003
R. Alfred
{"title":"Comparative Study The Application of Data Science to Wildfire Investigations","authors":"R. Alfred","doi":"10.36647/ttadsa/01.02.a003","DOIUrl":"https://doi.org/10.36647/ttadsa/01.02.a003","url":null,"abstract":"This paper examines the application of data science to wildfire investigations. It looks at the various techniques and technologies that are used for wildfire investigations and the potential benefits of using data science in this field. The paper also compares the current methods used to investigate wildfires with those that could be used if data science were applied. It concludes that data science could improve the accuracy of wildfire investigations, and could also help to identify potential causes of the fires more quickly. Additionally, the use of data science could help to reduce the cost of investigations, as well as providing new insights into the causes of the fires Keyword : Big Data Analytics, Data Science, Fire Behaviour Modelling, Geospatial Analysis, Machine Learning, Predictive Modelling, Remote Sensing, Wildfire Investigations.","PeriodicalId":408509,"journal":{"name":"Technoarete Transactions on Advances in Data Science and Analytics","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126348056","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
Big Data Analytics in Developing Smart and Sustainable Solutions for the Agricultural Industry1 大数据分析在为农业产业开发智能和可持续解决方案中的应用
Technoarete Transactions on Advances in Data Science and Analytics Pub Date : 2022-08-15 DOI: 10.36647/ttadsa/01.02.a001
V. S. Lohit, Mohammed Mutahar Mujahid
{"title":"Big Data Analytics in Developing Smart and Sustainable Solutions for the Agricultural Industry1","authors":"V. S. Lohit, Mohammed Mutahar Mujahid","doi":"10.36647/ttadsa/01.02.a001","DOIUrl":"https://doi.org/10.36647/ttadsa/01.02.a001","url":null,"abstract":"Here, the main aim of this paper is to discuss the process and procedure of big data analytics that can develop smart and sustainable solutions for the agricultural industries. This paper also tends to collect relevant and reliable information or data input regarding developing smart and sustainable solutions using big data analytics for betterment of the overall agricultural industry. As many previous researchers have proposed the fact that big data analytics can be used to tackle increasing challenges of agricultural production such as granular data on rainfall patterns, water cycles, fertilizer requirements, and more. Here, this particular study module aims to show the importance of sustainable yet smart solutions for the agricultural industry. Moreover, it has also shown different roles of data analytics in terms of providing smart agricultural solutions that has conversely shown the both beneficial and non-beneficial sides of big data analytics during developing smart solutions for better agricultural prediction. As it has already been highlighted the main objective of this specific research is to analyse the process of developing smart and sustainable solutions for the agricultural industry different methodologies or random analytical process such as positivism research philosophy, descriptive research design and secondary data collection method has been applied to acknowledge the methods of implementing or developing smart and solutions by using big data analytics in agricultural industry. At the end a brief discussion and analysis has been shown through using two tables of implementation and a big data analytics flow chart in order to outline the steps that needed to be performed for developing smart and sustainable agricultural solutions. Keyword : Big data analysis, BigData tools and systems, smart and sustainable solution and agriculture industry.","PeriodicalId":408509,"journal":{"name":"Technoarete Transactions on Advances in Data Science and Analytics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128835427","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
To examine the application of data science to physics 考察数据科学在物理学中的应用
Technoarete Transactions on Advances in Data Science and Analytics Pub Date : 2022-08-15 DOI: 10.36647/ttadsa/01.02.a004
Dr.K Balaji
{"title":"To examine the application of data science to physics","authors":"Dr.K Balaji","doi":"10.36647/ttadsa/01.02.a004","DOIUrl":"https://doi.org/10.36647/ttadsa/01.02.a004","url":null,"abstract":"Data science is an interdisciplinary field that uses statistical, mathematical, and computational techniques to analyse large datasets and draw meaningful insights. It has been applied to a wide range of topics in science and engineering, including physics. In physics, data science is used to analyse large datasets generated from experiments and simulations. This allows researchers to gain insight into physical phenomena, such as the behaviour of particles, forces, and fields. Data science techniques can also be used to develop models that can be used to predict future events and outcomes. In addition, data science can be used to visualize physical phenomena, such as the structure of the universe or the evolution of stars. Data science is an important tool for physicists, as it provides a powerful way to analyse and understand physical phenomena. By leveraging data science techniques, physicists can gain a deeper understanding of the laws of nature and make predictions about the future. Keyword :Data Science, Physics, Application, data science techniques.","PeriodicalId":408509,"journal":{"name":"Technoarete Transactions on Advances in Data Science and Analytics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125013176","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
Assessing Data Science's Application to Economic Theory 评估数据科学在经济理论中的应用
Technoarete Transactions on Advances in Data Science and Analytics Pub Date : 2022-08-15 DOI: 10.36647/ttadsa/01.02.a005
Myelinda A. Baldelovar
{"title":"Assessing Data Science's Application to Economic Theory","authors":"Myelinda A. Baldelovar","doi":"10.36647/ttadsa/01.02.a005","DOIUrl":"https://doi.org/10.36647/ttadsa/01.02.a005","url":null,"abstract":"Data science is becoming increasingly important in economic theory. This paper examines how data science can be applied to economic theory and how it is used to make predictions about economic outcomes. It looks at how data science can be used to identify patterns in economic data, and how it can be used to develop new economic theories and to forecast economic trends. It also discusses the potential challenges and ethical issues associated with the use of data science in economics, and how data science can be used to improve economic decision-making. Finally, the paper concludes with a discussion of the potential benefits of data science to economic theory and practice. Keyword :Application, Analysis, Data Science, Economic Theory, Impact.","PeriodicalId":408509,"journal":{"name":"Technoarete Transactions on Advances in Data Science and Analytics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133690378","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
Use of Big Data in the Process of Customer Segmentation in the Retail Sector 大数据在零售行业客户细分过程中的应用
Technoarete Transactions on Advances in Data Science and Analytics Pub Date : 2022-08-15 DOI: 10.36647/ttadsa/01.02.a002
Mudunuri Ananya Varma
{"title":"Use of Big Data in the Process of Customer Segmentation in the Retail Sector","authors":"Mudunuri Ananya Varma","doi":"10.36647/ttadsa/01.02.a002","DOIUrl":"https://doi.org/10.36647/ttadsa/01.02.a002","url":null,"abstract":"The study has clearly demonstrated the role of big data analytics on customer segmentation in the retail sector. The customer segmentation can be defined as separating consumers depending on previous purchase behaviour. In this study retail markets took the assistance of big data analytics to gather lots of information about their targeted consumers. In the literature part of the study, it has been clearly demonstrated that the segmentation of consumers is necessary to enhance the sales value of the retail market. The retail marketers also took the assistance of automation, cloud software, and AI to collect data of consumers for business purposes. The literature part also helps to understand that a lack of expertise in management systems can lead to gathering wrong data of consumers and it may impact negatively the retail market. The methodology part of the study is an essential factor to obtain an appropriate result. In this context, a descriptive research design has been chosen to conduct the study. In addition, the methodology part also took care of the authenticity of the research. A deductive approach has been selected for this study. The data has been gathered with the help of a secondary data collection method. The discussion part has evaluated that the retail market has grown a lot depending on digitalisation. Retail marketers have been using big data to understand market trends and also trying to understand consumer purchase behaviour. Keyword : Customer segmentation, big data, AI, consumer purchase behaviour.","PeriodicalId":408509,"journal":{"name":"Technoarete Transactions on Advances in Data Science and Analytics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130597646","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
Scientific Web Services for Communication Between Two Electronic Devices Over a Network: a Study 两个电子设备间网络通信的科学Web服务:一项研究
Technoarete Transactions on Advances in Data Science and Analytics Pub Date : 2022-02-22 DOI: 10.36647/ttadsa/01.01.a003
S. S
{"title":"Scientific Web Services for Communication Between Two Electronic Devices Over a Network: a Study","authors":"S. S","doi":"10.36647/ttadsa/01.01.a003","DOIUrl":"https://doi.org/10.36647/ttadsa/01.01.a003","url":null,"abstract":"The study is focused on the concept of web services used for communication between two specific electronic devices. It is identified that there are different web services such as IP, HTTP, XML, HTML, Java, and others. Furthermore, web services are the specific applications that support the communication between electronic devices by using the internet. The researcher has adopted a specific method and found a journal based on the research topic and that helped the researcher to analyse the importance of web services more effectively. Apart from that, system theory has been used by the researcher to understand the concept of web services and its usage appropriately. The usage of web services requires effective and efficient technological knowledge which creates a limitation of the process. Keyword : Web services, communication, electronic devices, network, internet, interaction","PeriodicalId":408509,"journal":{"name":"Technoarete Transactions on Advances in Data Science and Analytics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126662301","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
Effectiveness of Web-Based Decision Making to Deliver Decision-Support Information to Business Analyst using a 'Thin-Client 基于web的决策制定使用瘦客户机向业务分析师提供决策支持信息的有效性
Technoarete Transactions on Advances in Data Science and Analytics Pub Date : 2022-02-22 DOI: 10.36647/ttadsa/01.01.a001
Abinash Das
{"title":"Effectiveness of Web-Based Decision Making to Deliver Decision-Support Information to Business Analyst using a 'Thin-Client","authors":"Abinash Das","doi":"10.36647/ttadsa/01.01.a001","DOIUrl":"https://doi.org/10.36647/ttadsa/01.01.a001","url":null,"abstract":"The study examines the effectiveness of “web-based decision support systems” on business companies as well as the usage of thin-client in the process. It is identified that the web based DSS process provides essential information and helps the managers to make effective decisions for the companies. On the other hand, a thin client is a computer that runs based on the stored data in a central server instead of a hard disk. The researcher has used methods and techniques to gain knowledge and information about the web-based DSS and thin-client which are discussed in a thematic way. Apart from that, the system theory of management is used by the researcher to understand and analyse the concept of the research topic accurately. Keyword :web-based DSS, decision-making process, thin-client, effects, decision support, information.","PeriodicalId":408509,"journal":{"name":"Technoarete Transactions on Advances in Data Science and Analytics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123768662","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
Social Impacts of Data Science in Food, Housing And Medical Attention Linked to Public Service 数据科学在与公共服务相关的食品、住房和医疗方面的社会影响
Technoarete Transactions on Advances in Data Science and Analytics Pub Date : 2022-02-22 DOI: 10.36647/ttadsa/01.01.a004
J. R, Sunethra B
{"title":"Social Impacts of Data Science in Food, Housing And Medical Attention Linked to Public Service","authors":"J. R, Sunethra B","doi":"10.36647/ttadsa/01.01.a004","DOIUrl":"https://doi.org/10.36647/ttadsa/01.01.a004","url":null,"abstract":"During the past decades, the public health development process increased as a serious concern. In this regard, data science technology has proved as a beneficial tool to support the human safety and security development procedure. Thus, the Indian government has implemented several types of schemes to support human health and welfare but due to a lack of proper experts, the schemes do not follow properly. The researcher in this study has focused on the impact of data science in food, housing, and medical attention linked to public services. The data collection process has been noticed with proper attention to make it a valid study. Both advantages along with disadvantages of data science have been discussed to introduce both pros and cons of the technology. Keyword : Data Science, Human Safety, Social Good, Knowledge, Resources, Mathematics, Statistics","PeriodicalId":408509,"journal":{"name":"Technoarete Transactions on Advances in Data Science and Analytics","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130634677","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
Utilization of Social-Graph Analysis for Investigating Social Structures Through the Use of Networks and Graph Theory 利用网络和图论，社会图分析调查社会结构
Technoarete Transactions on Advances in Data Science and Analytics Pub Date : 2022-02-22 DOI: 10.36647/ttadsa/01.01.a005
Rudra Bhanu Satpathy, J. Gavaskar
{"title":"Utilization of Social-Graph Analysis for Investigating Social Structures Through the Use of Networks and Graph Theory","authors":"Rudra Bhanu Satpathy, J. Gavaskar","doi":"10.36647/ttadsa/01.01.a005","DOIUrl":"https://doi.org/10.36647/ttadsa/01.01.a005","url":null,"abstract":"Social Network Analysis (SNA) is a digital process that helps to represent the collaboration between the individuals of society. Graphical representation of individual data has helped to understand social structure. Along with that, this research study has selected a secondary data collection method to understand the actual structure of the society. This graphical representation has included several nodes and edges of society to understand the interaction between the communities. In the present time, different organizations have faced difficulties due to a lack of communication. Along with that, graphical theory and network diagrams have helped to understand the weak ties and strong ties of society. According to that, society got the chance to improve the structure and build effective collaboration. Keyword :Social Network Analysis (SNA), nodes, edges, ties, interpersonal relationship","PeriodicalId":408509,"journal":{"name":"Technoarete Transactions on Advances in Data Science and Analytics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125666039","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
Role Of Crowdsourcing in an Organization 众包在组织中的作用
Technoarete Transactions on Advances in Data Science and Analytics Pub Date : 2022-02-22 DOI: 10.36647/ttadsa/01.01.a002
Siddth Kumar Chhajer, Rudra Bhanu Satpathy
{"title":"Role Of Crowdsourcing in an Organization","authors":"Siddth Kumar Chhajer, Rudra Bhanu Satpathy","doi":"10.36647/ttadsa/01.01.a002","DOIUrl":"https://doi.org/10.36647/ttadsa/01.01.a002","url":null,"abstract":"The main use of crowdsourcing is the efficient way of getting several relevant ideas and information for the business. Crowdsourcing can also generate several uses and benefits over the process of internal ideation and business process that will not only access the ideas, but they could drive the marketing buzz and engage several customers. Furthermore, crowdsourcing is also impacting several marketing strategies through generating the idea to several consumers. Furthermore, there are several benefits and challenges of crowdsourcing for an organisation such as adopting the vision that can guide the efforts of idea generation. It states that the idea generation always starts with the shared vision of defining the focus areas and innovation processes. The linking of the ideation for strategic focus area and innovation portfolio is important as the organisation should be implementing the idea management within a structured manner. However, it is also found that several companies embrace the program that is aimed at the idea management for having successful innovation behaviour. Keyword :Scalability, cross-cultural business environment, Cultural diversity, crowd drafting.","PeriodicalId":408509,"journal":{"name":"Technoarete Transactions on Advances in Data Science and Analytics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132975671","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信