Pub Date : 2022-04-14DOI: 10.33897/fujeas.v2i2.491
Aiman Hafeez Abbasi, S. Rehman, Tariq Ali
The development of technology is currently very rapid, this development is not only from the technology system of hardware and software. The research is a scientific work that is required for the achievement of PhD degree. Selection of a PhD supervisor is an important step that a student must take at an early stage in their career in their research work. The selection of the final PhD supervisor is an important factor in the student's research work so that students can get proper guidance to make it successful. When deciding whether a particular professor is an appropriate person to serve as supervisor, the student should judge the candidate based on a set of criteria that are important in the supervisor selection process. However, the lack of information about the supervisor can hamper students in making the selection of the supervisor. Also, identification of important criteria might be challenging for prospective students due to inexperience. Thus, a system is needed that can facilitate students in selecting the research work advisors in accordance with the research topic based on multi criteria like relevancy of the supervisor research area with your area of interest or relevance of their publications to your area of interest. In this regard, a multi-criteria decision support system will design to facilitate students in the PhD supervisor selection by recommending them according to their research area. Multi-criteria decision framework will help students in making their decisions in supervisor selection of their research work by recommending them supervisors based on several criteria’s accurately and quickly.
{"title":"Multi-criteria Decision Support System for Recommendation of PhD Supervisor","authors":"Aiman Hafeez Abbasi, S. Rehman, Tariq Ali","doi":"10.33897/fujeas.v2i2.491","DOIUrl":"https://doi.org/10.33897/fujeas.v2i2.491","url":null,"abstract":"The development of technology is currently very rapid, this development is not only from the technology system of hardware and software. The research is a scientific work that is required for the achievement of PhD degree. Selection of a PhD supervisor is an important step that a student must take at an early stage in their career in their research work. The selection of the final PhD supervisor is an important factor in the student's research work so that students can get proper guidance to make it successful. When deciding whether a particular professor is an appropriate person to serve as supervisor, the student should judge the candidate based on a set of criteria that are important in the supervisor selection process. However, the lack of information about the supervisor can hamper students in making the selection of the supervisor. Also, identification of important criteria might be challenging for prospective students due to inexperience. Thus, a system is needed that can facilitate students in selecting the research work advisors in accordance with the research topic based on multi criteria like relevancy of the supervisor research area with your area of interest or relevance of their publications to your area of interest. In this regard, a multi-criteria decision support system will design to facilitate students in the PhD supervisor selection by recommending them according to their research area. Multi-criteria decision framework will help students in making their decisions in supervisor selection of their research work by recommending them supervisors based on several criteria’s accurately and quickly.","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":"2016 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88732028","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}
Pub Date : 2022-04-14DOI: 10.33897/fujeas.v2i2.497
Muhammad Faseeh
With the revolution from physical businesses to shopping online, predicting client behavior in e-commerce is becoming increasingly important. It can increase customer satisfaction and sales, resulting in higher conversion, by enabling a more individualized shopping process. Today, most users want to save their time using and they prefer to shop using the platform provided for e-commerce. Millions of transaction records are available in the databases of such websites using which, a customer shops something. Using the transaction to find something can be helpful for the organization or merchants. Using the available databases or datasets, to find some useful pattern can increase the business, to check out the customer satisfaction level, to check the customer behavior about the product, etc. Some of the useful information can be to find out which item will be purchased by the customer in the next visit, or which new items can be purchased by the customer in the next visit. Using this information, an organization or Shops can control the quantity and increase the maximum purchased items, improving the quality of products for the customers. For this purpose, we use supervised learning techniques for prediction. Because most of the data which we will use will be labeled. Many researchers used supervised methods but some of the researchers also used unsupervised methods too. We created a supervised model for predicting the basket items. Due to the large dataset, it was very difficult to extract the features and it takes a lot of time. We have performed feature engineering, to choose the best ones. After the training model, our model shows better performance than the previous results.
{"title":"Data Mining Assisted Purchase Prediction","authors":"Muhammad Faseeh","doi":"10.33897/fujeas.v2i2.497","DOIUrl":"https://doi.org/10.33897/fujeas.v2i2.497","url":null,"abstract":"With the revolution from physical businesses to shopping online, predicting client behavior in e-commerce is becoming increasingly important. It can increase customer satisfaction and sales, resulting in higher conversion, by enabling a more individualized shopping process. Today, most users want to save their time using and they prefer to shop using the platform provided for e-commerce. Millions of transaction records are available in the databases of such websites using which, a customer shops something. Using the transaction to find something can be helpful for the organization or merchants. Using the available databases or datasets, to find some useful pattern can increase the business, to check out the customer satisfaction level, to check the customer behavior about the product, etc. Some of the useful information can be to find out which item will be purchased by the customer in the next visit, or which new items can be purchased by the customer in the next visit. Using this information, an organization or Shops can control the quantity and increase the maximum purchased items, improving the quality of products for the customers. \u0000 For this purpose, we use supervised learning techniques for prediction. Because most of the data which we will use will be labeled. Many researchers used supervised methods but some of the researchers also used unsupervised methods too. We created a supervised model for predicting the basket items. Due to the large dataset, it was very difficult to extract the features and it takes a lot of time. We have performed feature engineering, to choose the best ones. After the training model, our model shows better performance than the previous results. ","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":"2016 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86658510","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}
Pub Date : 2022-04-14DOI: 10.33897/fujeas.v2i2.507
Sundus Younis, Palwasha Khan
Social network analysis has attained significant attention in recent times. It is a contemporary data driven technique which maps and measures social structures using network and graph theory for people analytics. A pre-requisite to social network analysis is to explore the network genesis and its evolution. Most of the social network studies in the past have focused primarily on the impact of social networks on employees but none of the studies have identified the reasons why do employees bond with specific network members in the first place and what are the different types of workplace social networks. For this reason we wanted to conduct a systematic literature review for identifying the reasons why specific workplace social networks exists, classify different types of workplace networks and highlight network ties which are beneficial for achieving organizational goals. By employing social network theory, this study investigates the intra-organizational networks of corporate business environment. Multiple databases were used to extract relevant papers for this review such as Science Direct, IEEE Xplore, Scopus and Web of Science databases and Directory of Open Access Journals. Some of the major trends identified from the 48 past papers included in this review are: (1) different types of workplace social networks are created based on specific employee interdependency; (2) strong and weak ties both are beneficial for fast information diffusion; (3) negative ties have a stronger impact on organizational outcomes then positive ties. This review will provide a new broader conceptualization of social networks and its influence on employees.
社会网络分析近年来受到了极大的关注。它是一种当代数据驱动技术，它使用网络和图论来绘制和测量社会结构，用于人员分析。社会网络分析的前提是探究网络的起源及其演变。过去的大多数社会网络研究主要集中在社会网络对员工的影响上，但没有一项研究首先确定了员工与特定网络成员联系的原因，以及工作场所社会网络的不同类型。出于这个原因，我们想进行系统的文献综述，以确定特定的工作场所社会网络存在的原因，对不同类型的工作场所网络进行分类，并突出有利于实现组织目标的网络联系。本研究运用社会网络理论，探讨企业经营环境的组织内网络。使用Science Direct、IEEE Xplore、Scopus、Web of Science数据库和Directory of Open Access Journals等数据库提取相关论文。从过去48篇论文中发现的一些主要趋势包括:(1)不同类型的工作场所社交网络是基于特定的员工相互依赖而创建的;(2)强联系和弱联系都有利于信息的快速传播;(3)负向关系对组织成果的影响强于正向关系。这篇综述将为社会网络及其对员工的影响提供一个新的更广泛的概念。
{"title":"Social Network Analysis The Power of Networks: A Pre-Requisite to Social Network Analysis","authors":"Sundus Younis, Palwasha Khan","doi":"10.33897/fujeas.v2i2.507","DOIUrl":"https://doi.org/10.33897/fujeas.v2i2.507","url":null,"abstract":"Social network analysis has attained significant attention in recent times. It is a contemporary data driven technique which maps and measures social structures using network and graph theory for people analytics. A pre-requisite to social network analysis is to explore the network genesis and its evolution. Most of the social network studies in the past have focused primarily on the impact of social networks on employees but none of the studies have identified the reasons why do employees bond with specific network members in the first place and what are the different types of workplace social networks. For this reason we wanted to conduct a systematic literature review for identifying the reasons why specific workplace social networks exists, classify different types of workplace networks and highlight network ties which are beneficial for achieving organizational goals. By employing social network theory, this study investigates the intra-organizational networks of corporate business environment. Multiple databases were used to extract relevant papers for this review such as Science Direct, IEEE Xplore, Scopus and Web of Science databases and Directory of Open Access Journals. Some of the major trends identified from the 48 past papers included in this review are: (1) different types of workplace social networks are created based on specific employee interdependency; (2) strong and weak ties both are beneficial for fast information diffusion; (3) negative ties have a stronger impact on organizational outcomes then positive ties. This review will provide a new broader conceptualization of social networks and its influence on employees. ","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90906468","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}
Pub Date : 2022-04-14DOI: 10.33897/fujeas.v2i2.493
Afeefa Asghar, Ali Zaman, S. Rehman
Today, most decision support systems depend not only on the preferences of decision makers, but also on the public's opinion of possible alternatives. It's been a long time since the (COVID-19) engulfed the entire planet, upsetting normal schedules, destroying economies, and killing millions of people all over the world. The pandemic brought the entire world together in an endeavor to discover a cure and promote inoculation. The first round of vaccines began near the end of 2020, contrary to popular belief, and various nations began the inoculation drive very quickly while others really keeping it together fully expecting an effective preliminary. Web-based media, is blockaded with a wide scope of both positive and negative stories in the developing Covid conditions. Numerous individuals were anticipating the vaccination, while others were mindful about the side effects and the fear inspired notions bringing about mixed emotions. This article performs sentiment analysis, which will be utilized in a choice emotionally supportive network in discovering the viability of COVID-19 vaccines among various nations. The proposed technique decides public sentiments towards COVID-19 vaccines assisting the healthcare authorities with breaking down their reaction. The results show mentality of individuals towards various vaccine brands as for their various responses to the Covid-19 vaccine.
{"title":"Decision Support System for Measuring the User Sentiment towards Different COVID-19 Vaccines","authors":"Afeefa Asghar, Ali Zaman, S. Rehman","doi":"10.33897/fujeas.v2i2.493","DOIUrl":"https://doi.org/10.33897/fujeas.v2i2.493","url":null,"abstract":"Today, most decision support systems depend not only on the preferences of decision makers, but also on the public's opinion of possible alternatives. It's been a long time since the (COVID-19) engulfed the entire planet, upsetting normal schedules, destroying economies, and killing millions of people all over the world. The pandemic brought the entire world together in an endeavor to discover a cure and promote inoculation. The first round of vaccines began near the end of 2020, contrary to popular belief, and various nations began the inoculation drive very quickly while others really keeping it together fully expecting an effective preliminary. Web-based media, is blockaded with a wide scope of both positive and negative stories in the developing Covid conditions. Numerous individuals were anticipating the vaccination, while others were mindful about the side effects and the fear inspired notions bringing about mixed emotions. This article performs sentiment analysis, which will be utilized in a choice emotionally supportive network in discovering the viability of COVID-19 vaccines among various nations. The proposed technique decides public sentiments towards COVID-19 vaccines assisting the healthcare authorities with breaking down their reaction. The results show mentality of individuals towards various vaccine brands as for their various responses to the Covid-19 vaccine.","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78320968","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}
{"title":"Quand Doré transforme un chat en icône","authors":"Ghislaine Chagrot, Pierre-Emmanuel Moog","doi":"10.58282/colloques.7716","DOIUrl":"https://doi.org/10.58282/colloques.7716","url":null,"abstract":"","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87819509","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}
{"title":"Les représentations du Chat botté par des artistes de l’entre-deux-guerres","authors":"Édith Marcq","doi":"10.58282/colloques.7705","DOIUrl":"https://doi.org/10.58282/colloques.7705","url":null,"abstract":"","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76099161","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}
{"title":"L’animal décepteur mais bienfaiteur dans l’ethno-conte français. Contractualisation et véridiction","authors":"T. Charnay","doi":"10.58282/colloques.7682","DOIUrl":"https://doi.org/10.58282/colloques.7682","url":null,"abstract":"","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":"163 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75155622","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}
{"title":"« Le Chat botté » de Charles Perrault, un conte subversif","authors":"Marie-Agnés Thirard","doi":"10.58282/colloques.7691","DOIUrl":"https://doi.org/10.58282/colloques.7691","url":null,"abstract":"","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83263159","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}
{"title":"Un Chat botté fort peu civil. La mécanique de la ruse","authors":"Pierre-Emmanuel Moog","doi":"10.58282/colloques.7685","DOIUrl":"https://doi.org/10.58282/colloques.7685","url":null,"abstract":"","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77879964","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}
{"title":"Introduction : les enjambées du Chat botté","authors":"Bochra Charnay, T. Charnay","doi":"10.58282/colloques.7679","DOIUrl":"https://doi.org/10.58282/colloques.7679","url":null,"abstract":"","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":"45 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72463670","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}
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