TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery最新文献

Application of Spatial Data Mining in the Process of Discovering Interesting and Previously Unknown, but Potentially Useful, Patterns from Large Spatial Datasets 空间数据挖掘在从大型空间数据集中发现有趣的和以前未知的但可能有用的模式过程中的应用

TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery Pub Date : 2022-11-18 DOI: 10.36647/ttidmkd/01.01.a002

Abinash Das

引用次数: 0

Role of Data Visualization in Storytelling by Curating Data into an Easier form 通过将数据整理成更简单的形式，数据可视化在讲故事中的作用

TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery Pub Date : 2022-11-18 DOI: 10.36647/ttidmkd/01.01.a005

Rudra Bhanu Satpathy, J. Gavaskar

引用次数: 0

Adaptation of Text Mining as Text Data Mining, Similar to Text Analytics for the Process of Driving High-Quality Information from Text 将文本挖掘改编为文本数据挖掘，类似于文本分析，用于从文本中获取高质量信息

TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery Pub Date : 2022-11-18 DOI: 10.36647/ttidmkd/01.01.a001

Siddth Kumar Chhajer, Rudra Bhanu Satpathy

引用次数: 0

Aspect of the Knowledge Representation Framework (KR Framework) for Offering the Basis for a Number of Research Activities in the Caisor 知识表示框架(KR框架)的方面，为凯撒中的许多研究活动提供基础

TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery Pub Date : 2022-11-18 DOI: 10.36647/ttidmkd/01.01.a003

S. S

引用次数: 0

Expert Systems for Emulating the Decision Making Ability of a Human Expert 模拟人类专家决策能力的专家系统

TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery Pub Date : 2022-11-18 DOI: 10.36647/ttidmkd/01.01.a004

Arihant Chhajer

{"title":"Expert Systems for Emulating the Decision Making Ability of a Human Expert","authors":"Arihant Chhajer","doi":"10.36647/ttidmkd/01.01.a004","DOIUrl":"https://doi.org/10.36647/ttidmkd/01.01.a004","url":null,"abstract":"Expert systems are a type of technology that supports an organization to identify the challenges of a project and help the organization to take effective steps to resolve the challenges. The research study is based on the utilization of expert systems on the decision-making ability of human experts. The research study has adopted a positivist research philosophy, exploratory research design, and deductive research approach to mitigate the research objectives. On the other hand, the research study has been done through the implication of a secondary quantitative data collection method. Based on the secondary quantitative research study, the study has shown the potential impact of an expert system on the decision-making ability of human experts. This research study has explained the way expert systems are creating a positive influence on the operational efficiency of an organization and the utilization of expert systems has also enhanced the decision-making ability of human exports up to 42%. Moreover, the implication of expert systems is beneficial for providing growth in business. Keyword : Human experts, project, Artificial intelligence, technology, expert systems.","PeriodicalId":314032,"journal":{"name":"TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129899686","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

Application of Time Series Analysis for Better Decision Making in Business 时间序列分析在商业决策中的应用

TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery Pub Date : 2022-11-15 DOI: 10.36647/ttidmkd/02.04.a005

Dr. T. Nadana Ravishankar

{"title":"Application of Time Series Analysis for Better Decision Making in Business","authors":"Dr. T. Nadana Ravishankar","doi":"10.36647/ttidmkd/02.04.a005","DOIUrl":"https://doi.org/10.36647/ttidmkd/02.04.a005","url":null,"abstract":"The research study discusses the relevance of “time series analysis” applications that will help an organisation to understand business growth. The present study affects an individual’s knowledge that ensures the research's relevance. The present study focuses on several business metrics that have used to discuss the effectiveness of time series. The researcher has also focused on an appropriate methodology that increases knowledge of the research study by adopting a research design, type, approach, and others. The study chooses a secondary qualitative data analysis method that affected the entire research study. Accessing through time series of analytical approach processes manage to process through an effective decision-making range is essential to provide effective decisions and its courses through the systematic process of review. The benefits of time series analysis personal concepts of series resources and its importance through the decision-making range are essential. A systematic approach in businesses access through proposed factors in business beneficial range and attribution of specific concepts helps to organize this aspect. A systematic source of decision-making range provides optimization of proposed business provides concepts of business making process. Accessing through the kinetic model summary has been provided in terms of beneficial business courses.","PeriodicalId":314032,"journal":{"name":"TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129932603","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

Application of Predictive Analytics in Agriculture 预测分析在农业中的应用

TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery Pub Date : 2022-11-15 DOI: 10.36647/ttidmkd/02.04.a001

Dr. Shashi Kant Gupta

{"title":"Application of Predictive Analytics in Agriculture","authors":"Dr. Shashi Kant Gupta","doi":"10.36647/ttidmkd/02.04.a001","DOIUrl":"https://doi.org/10.36647/ttidmkd/02.04.a001","url":null,"abstract":"Predictive analytics is one the most helpful techniques in business which provides the opportunity to forecast the upcoming risks and challenges in business. The assistance of predictive analytics provides the scope towards an enterprise to perform business with more effective strategies and decisions to avail higher success rate in business surroundings. As the competition in agriculture has been increasing day by day, business companies in the agricultural sector have started to implement predictive analytics in their operational area. It helps to identify upcoming issues and take steps to mitigate those risk factors in business. The study has been focused on analyzing the impact of predictive analytics in agriculture. Thus, various concepts and theories related with predictive analytics have been discussed in detailed manner within the entire study. An inductive approach has been taken while performing the entire task, cross sectional design has been used to perform the study effectively. On the other hand, qualitative data has been collected using secondary data collection methods within this particular study. The entire study has found that the application of predictive analytics mostly helps to prepare to face upcoming challenges and gain higher consumer satisfaction, competitive advantage and superior business growth in the agricultural industry throughout the global periphery.","PeriodicalId":314032,"journal":{"name":"TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115058107","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

Cybersecurity using Data Mining Techniques 使用数据挖掘技术的网络安全

TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery Pub Date : 2022-11-15 DOI: 10.36647/ttidmkd/02.04.a003

Dr. Sanjiv Kumar Jain, Joey G. Fernando

{"title":"Cybersecurity using Data Mining Techniques","authors":"Dr. Sanjiv Kumar Jain, Joey G. Fernando","doi":"10.36647/ttidmkd/02.04.a003","DOIUrl":"https://doi.org/10.36647/ttidmkd/02.04.a003","url":null,"abstract":"The study is based on the cyber security using data mining in a certain manner and all the insights have been taken from reliable resources which are related to the subject matter. At the beginning of the following article, the, the introduction has been served over the following topic of the cyber security and data mining in business. Also, in the following context, several kinds of materials and methods have been selected and evaluated to bring betterment in the study. The cross-sectional research design, inductive approach, secondary data have been selected by following the qualitative method. At the beginning, the data mining and cyber security have been represented with sheer elaboration and then the importance of data mining techniques within the business has been illustrated within a certain manner. After this, different kinds of usages of data mining techniques like detecting malwares, intrusions and virus attacks have been depicted in a certain norm of data mining techniques. Later on, the following study has been evaluated with the help of proper and authentic interpretation of the rate of cyber security within a business.","PeriodicalId":314032,"journal":{"name":"TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125711938","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

Data Mining Techniques and Modelling for Financial Analysis 财务分析的数据挖掘技术和建模

TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery Pub Date : 2022-11-15 DOI: 10.36647/ttidmkd/02.04.a002

Gernel S. Lumacad, Sunil Mp

{"title":"Data Mining Techniques and Modelling for Financial Analysis","authors":"Gernel S. Lumacad, Sunil Mp","doi":"10.36647/ttidmkd/02.04.a002","DOIUrl":"https://doi.org/10.36647/ttidmkd/02.04.a002","url":null,"abstract":"Data mining methods are used to identify the needs of the customers and this also helps the companies to stay competitive in the global market. Effective data mining process allows the firms to stay in the running in the competitive world by looking into the strength of the company. Data mining process has the capability of analysing financial stability and that in turn helps the companies implicate suitable policy and strategy to achieve competitive advantages. There are several types of data mining process that helps the companies to analysis their needs and allows the companies to evaluate finances. Different the types have their own approaches and advantages and helps companies to assess their finances to make concrete decision. The study has been carried out with the help of suitable methods to secure the success of the study. Qualitative methods, inductive approach and cross-sectional research design has been utilised to accomplish the study. From the assessment it is evident that despite of the advantages there are some issues that has been faced by the companies is mainly due to the large size of the data and lack of expertise of the higher authority.","PeriodicalId":314032,"journal":{"name":"TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129448675","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

The Importance of Text Mining for Services Management 文本挖掘对服务管理的重要性

TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery Pub Date : 2022-11-15 DOI: 10.36647/ttidmkd/02.04.a006

Shaily Malik, Dr. Shashi Kant Gupta

{"title":"The Importance of Text Mining for Services Management","authors":"Shaily Malik, Dr. Shashi Kant Gupta","doi":"10.36647/ttidmkd/02.04.a006","DOIUrl":"https://doi.org/10.36647/ttidmkd/02.04.a006","url":null,"abstract":"The present investigative study is a systematic as well as scientific endeavor to understand the beneficial effect of the text mining approach for the service management of the organization. This stud uses secondary qualitative data for gaining accurate insight into the present research study. Thematic analysis is done on the collected data set for gaining accurate insight into the present study. Interpretive research philosophy is chosen for this study along with the inductive research approach. This study also uses an explanatory research design for effective insight into the beneficial effect of the text mining process for the service management of the organization. The study focuses on the process of text mining which is used for analysing the client forums, call logs, tickets of customer service, and platforms of social media, news feeds, tweets and many others. It also focuses on the business that have better insights based on client expectations and it requires the areas that focus on overall improvements. The study integrates the customer communications and reviews that can identify the new features for strengthening the product offerings. It focuses on the latest technologies that provide several opportunities for improving the customer experience those results in increased profits and revenue.","PeriodicalId":314032,"journal":{"name":"TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114101597","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