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Analysing methods of Workflow Execution on Data Mining 分析数据挖掘工作流的执行方法
Q4 Engineering Pub Date : 2023-10-20 DOI: 10.21817/indjcse/2023/v14i5/231405038
Lalita Kumari, Niranjan Kumar, Seemi Kumari
In this paper we are analyzing the different methods of workflow execution. The paper provides an overview of the field of workflow mining, which involves the extraction of information from event logs to understand and improve business processes. The paper discusses the importance of workflow mining in the context of process improvement and optimization and discusses the various techniques and approaches that have been developed for this purpose. This paper discusses the various methods and techniques for optimizing workflow execution in data mining. The related work suggests that the choice of workflow execution method and platform should be carefully considered based on the specific requirements of the data mining project, including the size of the data set, the complexity of the workflow, and the available resources. Workflow management systems (WFMS) provide a framework for designing, executing, and monitoring data mining workflows, and can help to improve workflow efficiency and accuracy
本文分析了工作流执行的不同方法。本文概述了工作流挖掘领域,该领域涉及从事件日志中提取信息,以了解和改进业务流程。本文讨论了工作流挖掘在流程改进和优化方面的重要性,并讨论了为此开发的各种技术和方法。本文讨论了在数据挖掘中优化工作流执行的各种方法和技术。相关工作表明,在选择工作流执行方法和平台时,应根据数据挖掘项目的具体要求,包括数据集的大小、工作流的复杂性和可用资源,进行仔细考虑。工作流管理系统(WFMS)为设计、执行和监控数据挖掘工作流提供了一个框架,有助于提高工作流的效率和准确性
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引用次数: 0
AIRCRAFT RECOGNITION SYSTEM USING DEEP LEARNING BASED EFFICIENTNET 飞机识别系统采用基于深度学习的高效网
Q4 Engineering Pub Date : 2023-10-20 DOI: 10.21817/indjcse/2023/v14i5/231405025
Poojitha K
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引用次数: 0
NETWORK PHARMACOLOGY ANALYSIS TO IDENTIFY BLACK SEA CUCUMBER BIOACTIVE COMPOUNDS POTENTIAL 网络药理学分析鉴定黑参生物活性化合物的潜力
Q4 Engineering Pub Date : 2023-10-20 DOI: 10.21817/indjcse/2023/v14i5/231405024
Muhammad Naufal Abdillah, Wisnu Ananta Kusuma, Mushthofa -, Mala Nurilmala
{"title":"NETWORK PHARMACOLOGY ANALYSIS TO IDENTIFY BLACK SEA CUCUMBER BIOACTIVE COMPOUNDS POTENTIAL","authors":"Muhammad Naufal Abdillah, Wisnu Ananta Kusuma, Mushthofa -, Mala Nurilmala","doi":"10.21817/indjcse/2023/v14i5/231405024","DOIUrl":"https://doi.org/10.21817/indjcse/2023/v14i5/231405024","url":null,"abstract":"","PeriodicalId":52250,"journal":{"name":"Indian Journal of Computer Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135666251","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
DCARIESNET: DENTAL CARIES SEGMENTATION WITH THREE-FOLD FEATURES AND OPTIMIZED U-NET Dcariesnet:基于三重特征和优化u-net的龋齿分割
Q4 Engineering Pub Date : 2023-10-20 DOI: 10.21817/indjcse/2023/v14i5/231405004
Mohamed Shajahan, Sahnius Usman, Siti Armiza Mohd Aris, Norliza Mohd Noor
{"title":"DCARIESNET: DENTAL CARIES SEGMENTATION WITH THREE-FOLD FEATURES AND OPTIMIZED U-NET","authors":"Mohamed Shajahan, Sahnius Usman, Siti Armiza Mohd Aris, Norliza Mohd Noor","doi":"10.21817/indjcse/2023/v14i5/231405004","DOIUrl":"https://doi.org/10.21817/indjcse/2023/v14i5/231405004","url":null,"abstract":"","PeriodicalId":52250,"journal":{"name":"Indian Journal of Computer Science and Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135666263","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
Analyzing Depression on Social Media Utilizing Machine Learning and Deep Learning Methods 利用机器学习和深度学习方法分析社交媒体上的抑郁情绪
Q4 Engineering Pub Date : 2023-10-20 DOI: 10.21817/indjcse/2023/v14i5/231405049
Pintu Chandra Paul, Md. Tofael Ahmed, Md. Rakib Hasan, Alimul Rajee, Kashmi Sultana
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引用次数: 0
A SYSTEMATIC REVIEW OF CONTEXT INFERENCE APPROACHES FOR USER-MOBILITY FACILITATION IN SMART HOMES: LOCATIONCONTEXT VS LOCATION INDEPENDENCE 智能家居中促进用户移动性的语境推断方法的系统综述:位置语境vs位置独立性
Q4 Engineering Pub Date : 2023-10-20 DOI: 10.21817/indjcse/2023/v14i5/231405023
Phumzile Nomnga, Khulumani Sibanda
{"title":"A SYSTEMATIC REVIEW OF CONTEXT INFERENCE APPROACHES FOR USER-MOBILITY FACILITATION IN SMART HOMES: LOCATIONCONTEXT VS LOCATION INDEPENDENCE","authors":"Phumzile Nomnga, Khulumani Sibanda","doi":"10.21817/indjcse/2023/v14i5/231405023","DOIUrl":"https://doi.org/10.21817/indjcse/2023/v14i5/231405023","url":null,"abstract":"","PeriodicalId":52250,"journal":{"name":"Indian Journal of Computer Science and Engineering","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135666244","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
CLASS AND ACTIVE-TIME FILTERING BASED ON DEEP-SORT FOR VISUAL OBJECT TRACKING 基于深度排序的类和活动时间滤波视觉目标跟踪
Q4 Engineering Pub Date : 2023-10-20 DOI: 10.21817/indjcse/2023/v14i5/231405045
Khin Ohnmar Maung, Theingi Myint
{"title":"CLASS AND ACTIVE-TIME FILTERING BASED ON DEEP-SORT FOR VISUAL OBJECT TRACKING","authors":"Khin Ohnmar Maung, Theingi Myint","doi":"10.21817/indjcse/2023/v14i5/231405045","DOIUrl":"https://doi.org/10.21817/indjcse/2023/v14i5/231405045","url":null,"abstract":"","PeriodicalId":52250,"journal":{"name":"Indian Journal of Computer Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135665171","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
A Systematic Literature Review of Machine Learning Techniques to achieve Automated Inference and Command of Audio Data into Voice Activated Systems 在语音激活系统中实现音频数据自动推理和命令的机器学习技术的系统文献综述
Q4 Engineering Pub Date : 2023-10-20 DOI: 10.21817/indjcse/2023/v14i5/231405145
Vuyolwethu Sunday Mantiyane, Phumzile Nomnga
{"title":"A Systematic Literature Review of Machine Learning Techniques to achieve Automated Inference and Command of Audio Data into Voice Activated Systems","authors":"Vuyolwethu Sunday Mantiyane, Phumzile Nomnga","doi":"10.21817/indjcse/2023/v14i5/231405145","DOIUrl":"https://doi.org/10.21817/indjcse/2023/v14i5/231405145","url":null,"abstract":"","PeriodicalId":52250,"journal":{"name":"Indian Journal of Computer Science and Engineering","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135666250","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
OPTIMIZING TIMELY DIABETES DETECTION THROUGH ADVANCED PREDICTIVE MODELING AND PATIENT MEDICAL STATISTICS 通过先进的预测建模和患者医疗统计优化及时的糖尿病检测
Q4 Engineering Pub Date : 2023-10-20 DOI: 10.21817/indjcse/2023/v14i5/231405005
Vineet Mehan
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引用次数: 0
Role of Artificial Intelligence in Creating Excellence in Entrepreneurship: A Literature Review 人工智能在创业卓越创造中的作用:文献综述
Q4 Engineering Pub Date : 2023-08-31 DOI: 10.17010/ijcs/2023/v8/i4/173266
Kumar Gaurav, Jogeswar Mahato
Artificial Intelligence (AI) is a digitally controlled robot or computer function that performs human activities. It has a significant impact on the prospects of entrepreneurial activities in a business circumstance. Artificial Intelligence has made it easier to reach a specific audience by recognising patterns in how people search and by giving them the information they need. Because of the growth of automation and Artificial Intelligence (AI), new ways of running a business are coming up. There isn't a lot of study on how digitalisation and entrepreneurship work together. So, the present study aims to learn more about this area and gives a semantic analysis of the contributions of Artificial Intelligence in the areas of entrepreneurship. Based on the results, it is clear that AI helps managers hire the right people for the job by analysing a potential of candidates based on their interests and past work experience and choosing the right person for the job. It also helps find risks, and protects companies from cyber attacks, keeps systems organised, and ensures everything works well. It protects the business infrastructure by recognising cyber threats from data by looking for trends.
人工智能(AI)是一种执行人类活动的数字控制机器人或计算机功能。在商业环境中,它对创业活动的前景有重大影响。人工智能通过识别人们的搜索模式,并为他们提供所需的信息,使谷歌更容易接触到特定的受众。由于自动化和人工智能(AI)的发展,新的经营方式正在出现。关于数字化和创业如何协同工作的研究并不多。因此,本研究旨在进一步了解这一领域,并对人工智能在创业领域的贡献进行语义分析。基于这些结果,很明显,人工智能可以帮助管理者根据候选人的兴趣和过去的工作经验分析潜在的候选人,并选择合适的人选来担任该职位。它还有助于发现风险,保护公司免受网络攻击,保持系统有序,并确保一切正常运行。它通过寻找趋势,从数据中识别网络威胁,从而保护业务基础设施。
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引用次数: 0
期刊
Indian Journal of Computer Science and Engineering
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