Pub Date : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776380
Nivedita Patil, U. G. Patil
Residential usage of power and its management have become one of the most pressing global challenges in recent years as domestic electricity demand continues to rise. To accomplish the efficient use of power in smart residences, in which technology is used for making every domestic electronic appliance act “smart” or automated, concerns about exchange of information among devices and power management techniques within the houses are required to be addressed. Given that the user has a limited amount of electricity, this paper discusses a system that allows the user to prioritize home appliances based on their daily usage. The mobile application assists the user in determining the appliance's priority and number of working hours as well as check the real-time status of the appliances. Wi-Fi is used to communicate between the system and the mobile application. The mobile application also keeps track of the usage of electricity and informs the user accordingly. The algorithm schedules home appliances based on the priority selected by the user, allowing for more careful use of available electricity. It also aids in distributing the power among the residential loads in both scenarios i.e., in case of sufficient electricity and in case of limited electricity allowing the highest priority appliance to keep working by restricting the power usage of lower priority devices.
{"title":"Algorithm for Priority Based Power Schedulingfor Residential Loads","authors":"Nivedita Patil, U. G. Patil","doi":"10.1109/CCGE50943.2021.9776380","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776380","url":null,"abstract":"Residential usage of power and its management have become one of the most pressing global challenges in recent years as domestic electricity demand continues to rise. To accomplish the efficient use of power in smart residences, in which technology is used for making every domestic electronic appliance act “smart” or automated, concerns about exchange of information among devices and power management techniques within the houses are required to be addressed. Given that the user has a limited amount of electricity, this paper discusses a system that allows the user to prioritize home appliances based on their daily usage. The mobile application assists the user in determining the appliance's priority and number of working hours as well as check the real-time status of the appliances. Wi-Fi is used to communicate between the system and the mobile application. The mobile application also keeps track of the usage of electricity and informs the user accordingly. The algorithm schedules home appliances based on the priority selected by the user, allowing for more careful use of available electricity. It also aids in distributing the power among the residential loads in both scenarios i.e., in case of sufficient electricity and in case of limited electricity allowing the highest priority appliance to keep working by restricting the power usage of lower priority devices.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127961161","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 : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776321
Amit Kumar Chaturvedi, Kalpana Sharma, Divyat Mahajan
DDoS attacks are noticed from last many years but due to growing figure of such attacks in present time increases the awareness of them. Many researchers proposed useful detection and mitigation methods for such DDoS attacks. DDoS attack is somewhat simple to perform, hard to safeguard against, and the aggressor is once in a while followed back. The assailant dispatches a DDoS assault utilizing a botnet to produce immense measure of traffic against a casualty's web worker. The casualty might be a business association, government, or basic framework. The wellspring of the attack can be any gadget associated with the web. During the last one and half year of covid-19 pandemic, the exponential growth of about 542% for such attacks is noticed. As all the organizations started working online, the security solutions that provide a safe and secure online working environment are required more. Software-Defined Networks solution is the better option for such requirements. It is a stage towards the foundation of a dynamic and unified nature of the organization. In this paper, we have reviewed that challenges and solutions for SDN networks. The study reveals important detection and mit-igation methods and strategies against DDoS attacks.
{"title":"A Review on Issues and challenges for Protection against DDoS Attacks using Software-Defined Networks approach","authors":"Amit Kumar Chaturvedi, Kalpana Sharma, Divyat Mahajan","doi":"10.1109/CCGE50943.2021.9776321","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776321","url":null,"abstract":"DDoS attacks are noticed from last many years but due to growing figure of such attacks in present time increases the awareness of them. Many researchers proposed useful detection and mitigation methods for such DDoS attacks. DDoS attack is somewhat simple to perform, hard to safeguard against, and the aggressor is once in a while followed back. The assailant dispatches a DDoS assault utilizing a botnet to produce immense measure of traffic against a casualty's web worker. The casualty might be a business association, government, or basic framework. The wellspring of the attack can be any gadget associated with the web. During the last one and half year of covid-19 pandemic, the exponential growth of about 542% for such attacks is noticed. As all the organizations started working online, the security solutions that provide a safe and secure online working environment are required more. Software-Defined Networks solution is the better option for such requirements. It is a stage towards the foundation of a dynamic and unified nature of the organization. In this paper, we have reviewed that challenges and solutions for SDN networks. The study reveals important detection and mit-igation methods and strategies against DDoS attacks.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130777930","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 : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776357
Sai krishna Gudepu, Vijay Kumar Burugari
In recent times, farming is a very important field in our Nation to improve the economy. In Agriculture, farmers have to do new learning to improve the economics of the country. In the old days, farmers automatically examine the weather conditions and start cropping, but at present due to illiteracy so many farmers are getting losses. In-order to overcome the problem, IoT and Machine learning are utilized to analyze climatic conditions like temperature, soil moisture levels, and pH levels, etc. with the help of sensors. But it possesses a problem with sensors there is an absence of communication between adjacent sensors, so to remove this “Kalman-Filter” algorithm is used. Whenever the climate change, the information is updated to the farmers using Google Assistant with the help of vigilant messages and voice calls in the regional language. These sensor values are stored in the “Adafruit” cloud storage. It has a problem with detecting weeds in rice farming; to overcome this support vector machine algorithm is used to separate weeds and plants. Genetic Algorithm is used for Analyzing weather situations to have an effect for farmers to raise the yield with high profits.
{"title":"Weather Prediction using Support Vector based Genetic Algorithm in Rice Farming","authors":"Sai krishna Gudepu, Vijay Kumar Burugari","doi":"10.1109/CCGE50943.2021.9776357","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776357","url":null,"abstract":"In recent times, farming is a very important field in our Nation to improve the economy. In Agriculture, farmers have to do new learning to improve the economics of the country. In the old days, farmers automatically examine the weather conditions and start cropping, but at present due to illiteracy so many farmers are getting losses. In-order to overcome the problem, IoT and Machine learning are utilized to analyze climatic conditions like temperature, soil moisture levels, and pH levels, etc. with the help of sensors. But it possesses a problem with sensors there is an absence of communication between adjacent sensors, so to remove this “Kalman-Filter” algorithm is used. Whenever the climate change, the information is updated to the farmers using Google Assistant with the help of vigilant messages and voice calls in the regional language. These sensor values are stored in the “Adafruit” cloud storage. It has a problem with detecting weeds in rice farming; to overcome this support vector machine algorithm is used to separate weeds and plants. Genetic Algorithm is used for Analyzing weather situations to have an effect for farmers to raise the yield with high profits.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128806604","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 : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776372
K. Vengatesan, Abhishek Kumar, Ankit Kumar, K. Kharade, S. Kharade, R. K. Kamat
In the Indian economy, the stock market and bonds play a significant role in predicting any specific company's economic rate or growth rate. There are a lot of parameters that need to be considered for predicting the value of any stock. Stocks are certificates of ownership of a company that describe the rights to the company's profits. Finally, we will get a share or ownership from the company based on the growth rate for every period. A bond is a type of investment from which a user will get monthly or yearly interest from the company based on the profit. Both share and bond will provide guaranteed returns to the customers. In this proposed work, we have taken hardware-based company stock data set. Using time-series data analytics techniques, we will study the value of every stock based on the historical data and estimate which company can have a high scope in the future based on the parameters like opening value and closing value of stock.
{"title":"Stock Market Analysis using Time Series Data Analytics Techniques","authors":"K. Vengatesan, Abhishek Kumar, Ankit Kumar, K. Kharade, S. Kharade, R. K. Kamat","doi":"10.1109/CCGE50943.2021.9776372","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776372","url":null,"abstract":"In the Indian economy, the stock market and bonds play a significant role in predicting any specific company's economic rate or growth rate. There are a lot of parameters that need to be considered for predicting the value of any stock. Stocks are certificates of ownership of a company that describe the rights to the company's profits. Finally, we will get a share or ownership from the company based on the growth rate for every period. A bond is a type of investment from which a user will get monthly or yearly interest from the company based on the profit. Both share and bond will provide guaranteed returns to the customers. In this proposed work, we have taken hardware-based company stock data set. Using time-series data analytics techniques, we will study the value of every stock based on the historical data and estimate which company can have a high scope in the future based on the parameters like opening value and closing value of stock.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"313 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114413968","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}
The primary goal of any electric power generation system is to provide a sufficient amount of electricity to consumers without jeopardizing the system's economic viability. The modernization of the power grid has resulted in a significant rise in power demand, which has increased the cost of producing electrical energy. When the cost of output rises, so does the cost of transferring energy to the end consumer. As a result, the output of energy at various stages of a power system must be optimized. As a result, the cost per unit of thermal energy output is reduced while load demand requirements and transmission losses are maintained. These complex non-linear quadratic functions with Multiple Fuels lead to a non-Convex problem for steam thermal generating systems, according to previous studies. Perfect Economic Load Dispatch (ELD) modelling for steam thermal generating units is possible with multiple fuels. Because acute variations and disruptions in the incremental cost function are possible, it is difficult to simplify the non-convex problem using existing techniques. Oppositional Teaching Learning Based Optimization (OTLBO) is used to address the ELD problem in this research. Under various load demands, the proposed solution was applied to a 6-unit test system, a 10-unit test system, and a 14-unit test system, and the results were evaluated using the Teaching Learning Based Optimization (TLBO) algorithm.
{"title":"A Nonconvex Constrained based Optimal Load Scheduling of Generators with Multiple Fuels using meta-heuristic Algorithms","authors":"D. Rao, Chiranjeevi Tulluri, Bharath Kumar Narukullapati, Haqqani Arshad, Raju Mv","doi":"10.1109/CCGE50943.2021.9776402","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776402","url":null,"abstract":"The primary goal of any electric power generation system is to provide a sufficient amount of electricity to consumers without jeopardizing the system's economic viability. The modernization of the power grid has resulted in a significant rise in power demand, which has increased the cost of producing electrical energy. When the cost of output rises, so does the cost of transferring energy to the end consumer. As a result, the output of energy at various stages of a power system must be optimized. As a result, the cost per unit of thermal energy output is reduced while load demand requirements and transmission losses are maintained. These complex non-linear quadratic functions with Multiple Fuels lead to a non-Convex problem for steam thermal generating systems, according to previous studies. Perfect Economic Load Dispatch (ELD) modelling for steam thermal generating units is possible with multiple fuels. Because acute variations and disruptions in the incremental cost function are possible, it is difficult to simplify the non-convex problem using existing techniques. Oppositional Teaching Learning Based Optimization (OTLBO) is used to address the ELD problem in this research. Under various load demands, the proposed solution was applied to a 6-unit test system, a 10-unit test system, and a 14-unit test system, and the results were evaluated using the Teaching Learning Based Optimization (TLBO) algorithm.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126458193","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 : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776401
Abha Sharma, Prasenjit Das, R. B. Patel
A lot of progression has been observed in Mobile Wireless Sensor Network (MWSN) in modern era due to its applications in vicinity. Recent trends show how it is very challenging to retain stability in the network in terms of delay, packet delivery ratio and stability. Nodes mobilization is vital in stabilizing the network, and various routing protocols are used to maintain connectivity, throughput, coverage, minimal energy cost. As a matter of fact it is really demanding that a single routing protocol will be able to cover up for numerous circumstances altogether. Several routing protocols have been worked upon for a variety of network scenarios. The categorization of routing protocols is countered on the basis of type of network structure, information status, network efficiency and mobility. In this paper Hierarchal routing protocols classification is presented which can help enhance network life and save energy consumption.
{"title":"Mobile Wireless Sensor Networks And Hierarchical Routing Protocols: A Review","authors":"Abha Sharma, Prasenjit Das, R. B. Patel","doi":"10.1109/CCGE50943.2021.9776401","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776401","url":null,"abstract":"A lot of progression has been observed in Mobile Wireless Sensor Network (MWSN) in modern era due to its applications in vicinity. Recent trends show how it is very challenging to retain stability in the network in terms of delay, packet delivery ratio and stability. Nodes mobilization is vital in stabilizing the network, and various routing protocols are used to maintain connectivity, throughput, coverage, minimal energy cost. As a matter of fact it is really demanding that a single routing protocol will be able to cover up for numerous circumstances altogether. Several routing protocols have been worked upon for a variety of network scenarios. The categorization of routing protocols is countered on the basis of type of network structure, information status, network efficiency and mobility. In this paper Hierarchal routing protocols classification is presented which can help enhance network life and save energy consumption.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132091825","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 : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776318
Pratiksha Sahane, S. Pangaonkar, Shridhar Khandekar
Vast industrial growth has increased the demand of automatic speech recognition for various automation and human machine interaction application. Performance of various artificial intelligence based approaches is limited because of the speech disability caused due to communication disorders, neurogenic speech disorder or psychological speech disorders. The dysarthric disorder is neurogenic speech disorder that limits the human voice articulation capability. This paper presents, dysarthric speech detection using Multi-Taper Mel Frequency Cepstral coefficients (MTMFCC) that is capable to smallest variation over the dysarthric speech. The efficiency of the proposed algorithm is estimated using the K-Nearest Neighbor (KNN) classifier and support vector machine (SVM) based on accuracy, sensitivity and specificity. The system has shown 99.04 % and 96.00 % accuracy for the MTMFCC+KNN and MTMFCC+SVM which is superior to traditional MFCC.
{"title":"Dysarthric Speech Recognition using Multi-Taper Mel Frequency Cepstrum Coefficients","authors":"Pratiksha Sahane, S. Pangaonkar, Shridhar Khandekar","doi":"10.1109/CCGE50943.2021.9776318","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776318","url":null,"abstract":"Vast industrial growth has increased the demand of automatic speech recognition for various automation and human machine interaction application. Performance of various artificial intelligence based approaches is limited because of the speech disability caused due to communication disorders, neurogenic speech disorder or psychological speech disorders. The dysarthric disorder is neurogenic speech disorder that limits the human voice articulation capability. This paper presents, dysarthric speech detection using Multi-Taper Mel Frequency Cepstral coefficients (MTMFCC) that is capable to smallest variation over the dysarthric speech. The efficiency of the proposed algorithm is estimated using the K-Nearest Neighbor (KNN) classifier and support vector machine (SVM) based on accuracy, sensitivity and specificity. The system has shown 99.04 % and 96.00 % accuracy for the MTMFCC+KNN and MTMFCC+SVM which is superior to traditional MFCC.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131347064","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 : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776391
Meenakshi Sharma, R. Kaushal, Amit Sharma
Blockchain, a futuristic technology has great potential to provide a revolutionary boom in the healthcare industry by providing a secure, decentralized and network-based peer-to-peer solution to reinvent the way patients store and share their electronic clinical information. Blockchain is most booming technologies on the planet for the next three decades. Purpose of the study is to explore the present literature on blockchain in the field of healthcare and identify the applications, challenges, and open research questions related to electronic health records on blockchain technology. A systematic literature review method is used to support and facilitate understanding of this ever-growing accounting technology Many reputable articles reviewed in this document were also accessed which resulted in adoption challenges, technical issues, and some research questions formed in conjunction with interoperability standards. To this end, even more research is needed to understand the technical side and utility of blockchain in the domain of healthcare.
{"title":"A Review on Sustainability of Blockchain in Electronic Health Records","authors":"Meenakshi Sharma, R. Kaushal, Amit Sharma","doi":"10.1109/CCGE50943.2021.9776391","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776391","url":null,"abstract":"Blockchain, a futuristic technology has great potential to provide a revolutionary boom in the healthcare industry by providing a secure, decentralized and network-based peer-to-peer solution to reinvent the way patients store and share their electronic clinical information. Blockchain is most booming technologies on the planet for the next three decades. Purpose of the study is to explore the present literature on blockchain in the field of healthcare and identify the applications, challenges, and open research questions related to electronic health records on blockchain technology. A systematic literature review method is used to support and facilitate understanding of this ever-growing accounting technology Many reputable articles reviewed in this document were also accessed which resulted in adoption challenges, technical issues, and some research questions formed in conjunction with interoperability standards. To this end, even more research is needed to understand the technical side and utility of blockchain in the domain of healthcare.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123021102","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 : 2021-09-23DOI: 10.1109/ccge50943.2021.9776478
Monitoramento Participativo, aGENDAS tRANSVERSAIS, aGENDAS tRANSVERSAIS, Monitoramento Participativo, Plano Mais Brasil, Relatório DE Monitoramento, Miriam Belchior, Secretária Executiva, Eva Maria Cella, Augusto da Silva Lima
{"title":"[Agendas]","authors":"Monitoramento Participativo, aGENDAS tRANSVERSAIS, aGENDAS tRANSVERSAIS, Monitoramento Participativo, Plano Mais Brasil, Relatório DE Monitoramento, Miriam Belchior, Secretária Executiva, Eva Maria Cella, Augusto da Silva Lima","doi":"10.1109/ccge50943.2021.9776478","DOIUrl":"https://doi.org/10.1109/ccge50943.2021.9776478","url":null,"abstract":"","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114569314","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 : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776377
R. Mittal, A. Mittal, Jaiteg Singh, Vikas Rattan, Varun Malik
Store choice is a function of store image which in turn comprises of store attributes. Different store attributes are evaluated differently by shoppers. For researchers and managers, it is not easy to understand how shoppers assess the multiple attributes that a store has. The high number of attributes needs to be reduced to a more manageable number and this can be done using the data mining technique of feature selection or factor analysis. Once this data mining technique is applied, the emerging factors can be processed to understand shoppers store choice criteria much better. This study assesses 23 store attributes evaluated by 197 shoppers of hypermarkets in India which were reduced to seven factors. The seven factors were ranked. Price / Value related factor was ranked highest.
{"title":"Principal Component Analysis based Feature Selection Driving Store Choice: A Data Mining Approach","authors":"R. Mittal, A. Mittal, Jaiteg Singh, Vikas Rattan, Varun Malik","doi":"10.1109/CCGE50943.2021.9776377","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776377","url":null,"abstract":"Store choice is a function of store image which in turn comprises of store attributes. Different store attributes are evaluated differently by shoppers. For researchers and managers, it is not easy to understand how shoppers assess the multiple attributes that a store has. The high number of attributes needs to be reduced to a more manageable number and this can be done using the data mining technique of feature selection or factor analysis. Once this data mining technique is applied, the emerging factors can be processed to understand shoppers store choice criteria much better. This study assesses 23 store attributes evaluated by 197 shoppers of hypermarkets in India which were reduced to seven factors. The seven factors were ranked. Price / Value related factor was ranked highest.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126594905","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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