Samer Muthana Sarsam, H. Al-Samarraie, Bahiyah Omar
The use of emotions in microblogs to trace the occurrence of certain events and determine their locations is an open challenge for sentiment analysis. This study investigated the potential of detecting the geographical location of events based on existing linkages between the types of emotion embedded in tweets (degree of polarity) and the source location of those tweets. The extracted tweets were clustered using K-means algorithm and a predictive model was developed using Naïve Bayes algorithm. Then, a time series forecasting technique was applied using linear regression analysis. This method was used to predict the amount of emotions in association with the event of interest. Latitude and longitude were used to evaluate the results of the linear regression model on a real-time world map. Results showed that happy emotion tends to be a reliable source for detecting the geographical location of an event. This study revealed the feasibility of using the time series forecasting approach in investigating the degree of emotions in twitter messages.
{"title":"Geo-spatial-based Emotions: A Mechanism for Event Detection in Microblogs","authors":"Samer Muthana Sarsam, H. Al-Samarraie, Bahiyah Omar","doi":"10.1145/3316615.3316640","DOIUrl":"https://doi.org/10.1145/3316615.3316640","url":null,"abstract":"The use of emotions in microblogs to trace the occurrence of certain events and determine their locations is an open challenge for sentiment analysis. This study investigated the potential of detecting the geographical location of events based on existing linkages between the types of emotion embedded in tweets (degree of polarity) and the source location of those tweets. The extracted tweets were clustered using K-means algorithm and a predictive model was developed using Naïve Bayes algorithm. Then, a time series forecasting technique was applied using linear regression analysis. This method was used to predict the amount of emotions in association with the event of interest. Latitude and longitude were used to evaluate the results of the linear regression model on a real-time world map. Results showed that happy emotion tends to be a reliable source for detecting the geographical location of an event. This study revealed the feasibility of using the time series forecasting approach in investigating the degree of emotions in twitter messages.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127232600","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}
Ngo Tung Son, Le Phuong Chi, Phan Truong Lam, Tran Van Dinh
The computer vision has been advancing rapidly recently and it has become necessary to use the technology in the education area. As a part of it, the application of facial recognition technology plays an important role in building the intelligent education system, where teaching and learning can be measured to support quality improvement. The required-attendance taking activity at the schools is one of the important parts of the teaching process. The traditional attendance method causes several inconveniences such as wasting time and effort, easy to mistake and difficult to verify. In this paper, we introduce an automatic attendance system based on the combination of facial recognition technology and interaction with the existing academic portal. We conducted a review of several modern methods to select the most suitable open framework for individual tasks. Our proposed design is flexible and be able to apply to the large-scale set of students without compromising predictive accuracy. We have tested the system on more than 2200 freshmen at FPT University in Hanoi, Vietnam. Initial numerical results show the effectiveness in both aspects of the accuracy and performance of the prototype.
{"title":"Combination of Facial Recognition and Interaction with Academic Portal in Automatic Attendance System","authors":"Ngo Tung Son, Le Phuong Chi, Phan Truong Lam, Tran Van Dinh","doi":"10.1145/3316615.3316638","DOIUrl":"https://doi.org/10.1145/3316615.3316638","url":null,"abstract":"The computer vision has been advancing rapidly recently and it has become necessary to use the technology in the education area. As a part of it, the application of facial recognition technology plays an important role in building the intelligent education system, where teaching and learning can be measured to support quality improvement. The required-attendance taking activity at the schools is one of the important parts of the teaching process. The traditional attendance method causes several inconveniences such as wasting time and effort, easy to mistake and difficult to verify. In this paper, we introduce an automatic attendance system based on the combination of facial recognition technology and interaction with the existing academic portal. We conducted a review of several modern methods to select the most suitable open framework for individual tasks. Our proposed design is flexible and be able to apply to the large-scale set of students without compromising predictive accuracy. We have tested the system on more than 2200 freshmen at FPT University in Hanoi, Vietnam. Initial numerical results show the effectiveness in both aspects of the accuracy and performance of the prototype.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130840723","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}
This paper proposes an idea of development of an android App, PickUp to improve the airport arrival for new international students of Malaysia private higher learning institute. It intends to reduce the waiting time for international students at the airport when they arrive in Malaysia, thereby to stimulate sharing of updated information between the driver who is responsible for the pickup and the new students. It would inform the students about the estimated arrival time of the drivers and they can track the driver on google maps using this proposed idea of a mobile app. This proposed idea of mobile app would specifically to be used by students and drivers of private higher learning institute in Malaysia. Any changes in the scheduled arrival time for driver would be updated in the app and the students would be notified. Continuous alerts would be sent in case of delays or changes. Divers' locations and routes are shown on real time maps using Google maps. The application will be structured and tested where the users will be assured that the application gives the real time service which will be extremely useful for them.
{"title":"Proposing a Development of Geolocation Mobile Application for Airport Pickup of International Students PickUp","authors":"Zafeera Rashid, C. S. Mon, Raenu Kolandaisamy","doi":"10.1145/3316615.3316639","DOIUrl":"https://doi.org/10.1145/3316615.3316639","url":null,"abstract":"This paper proposes an idea of development of an android App, PickUp to improve the airport arrival for new international students of Malaysia private higher learning institute. It intends to reduce the waiting time for international students at the airport when they arrive in Malaysia, thereby to stimulate sharing of updated information between the driver who is responsible for the pickup and the new students. It would inform the students about the estimated arrival time of the drivers and they can track the driver on google maps using this proposed idea of a mobile app. This proposed idea of mobile app would specifically to be used by students and drivers of private higher learning institute in Malaysia. Any changes in the scheduled arrival time for driver would be updated in the app and the students would be notified. Continuous alerts would be sent in case of delays or changes. Divers' locations and routes are shown on real time maps using Google maps. The application will be structured and tested where the users will be assured that the application gives the real time service which will be extremely useful for them.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131234223","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}
Tran Thi Thuy, Nguyen Van Nam, Ngo Tung Son, Tran Van Dinh
The beamforming technique is increasingly used in multi-user relay networks for directional signal transmission. The main purpose of this paper is to design beamforming coefficients to minimize the total relay transmitted power under destination Quality-of-Service (QoS) constraints. There are some techniques have been proposed previously to solve the class of these problems such as: semidefinite relaxation approach (SDR) and convex second-order cone programing form (SOCP). We propose another method named Difference of Convex functions Algorithm (DCA) and evaluate the performance of this approach.
{"title":"DC Programming and DCA for Power Minimization Problem in Multi-User Beamforming Networks","authors":"Tran Thi Thuy, Nguyen Van Nam, Ngo Tung Son, Tran Van Dinh","doi":"10.1145/3316615.3316665","DOIUrl":"https://doi.org/10.1145/3316615.3316665","url":null,"abstract":"The beamforming technique is increasingly used in multi-user relay networks for directional signal transmission. The main purpose of this paper is to design beamforming coefficients to minimize the total relay transmitted power under destination Quality-of-Service (QoS) constraints. There are some techniques have been proposed previously to solve the class of these problems such as: semidefinite relaxation approach (SDR) and convex second-order cone programing form (SOCP). We propose another method named Difference of Convex functions Algorithm (DCA) and evaluate the performance of this approach.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"327 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123701600","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}
Zhen Wang, Yanling Qian, Long Wang, Shigang Zhang, Xu Luo
Due to small quantities, lack of service experience, and poor fault diagnosis knowledge of new-type equipment, it is often difficult to determine the exact location of a trouble. To address this problem, a knowledge capitalization and fault diagnosis method based on semantic annotation was proposed, which can extract deep fault knowledge implied in the technical publications. Firstly, the unstructured nature of deep fault knowledge in the technical publications is outlined. And the role of semantic annotation in the process of knowledge acquisition is highlighted. Secondly, an ontology model for deep fault diagnosis knowledge extraction is developed to annotate the technical publications semantically. And the annotation method is presented to translate the unstructured and implicit knowledge into formal-defined and computer readable semantic net. Then, a fault diagnostic algorithm is proposed to use the annotation results based on hierarchical diagnosis algorithm of directed graph. Finally, an application case of VE-type fuel-injection pump verifies the feasibility and effectiveness of this method.
{"title":"The Extraction of Hidden Fault Diagnostic Knowledge in Equipment Technology Manual Based on Semantic Annotation","authors":"Zhen Wang, Yanling Qian, Long Wang, Shigang Zhang, Xu Luo","doi":"10.1145/3316615.3316659","DOIUrl":"https://doi.org/10.1145/3316615.3316659","url":null,"abstract":"Due to small quantities, lack of service experience, and poor fault diagnosis knowledge of new-type equipment, it is often difficult to determine the exact location of a trouble. To address this problem, a knowledge capitalization and fault diagnosis method based on semantic annotation was proposed, which can extract deep fault knowledge implied in the technical publications. Firstly, the unstructured nature of deep fault knowledge in the technical publications is outlined. And the role of semantic annotation in the process of knowledge acquisition is highlighted. Secondly, an ontology model for deep fault diagnosis knowledge extraction is developed to annotate the technical publications semantically. And the annotation method is presented to translate the unstructured and implicit knowledge into formal-defined and computer readable semantic net. Then, a fault diagnostic algorithm is proposed to use the annotation results based on hierarchical diagnosis algorithm of directed graph. Finally, an application case of VE-type fuel-injection pump verifies the feasibility and effectiveness of this method.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126088257","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}
Recommender System is a technique which is used to recommend an item or product to a user based on the user's preference'. Collaborative filtering is an approach that is vastly used in recommender systems. Item-item-based collaborative filtering is a collaborative filtering recommender system technique where the user got the recommendation based on the similarity among the item ratings. Here, we present an approach where we calculate the similarity among the items based on the genre of items. Any item may belong to more than one genre or category. Based on items propensity to a specific genre or category we propose a new item-item-based similarity metric and a little improvement in prediction method that can efficiently compute the ratings and provide more accurate recommendation compare to the state-of-art works. Our model addresses the problem of the cold start since traditional similarity model takes the user ratings into account whereas our model can calculate the similarity based on item genre or category among them. We also show the extensive simulation results based on sparsity and other recommender system evaluation techniques. We also distinguish that our result outperforms than the traditional collaborative filtering recommender systems.
{"title":"A Genre-Based Item-Item Collaborative Filtering: Facing the Cold-Start Problem","authors":"Surajit Das Barman, M. Hasan, Falguni Roy","doi":"10.1145/3316615.3316732","DOIUrl":"https://doi.org/10.1145/3316615.3316732","url":null,"abstract":"Recommender System is a technique which is used to recommend an item or product to a user based on the user's preference'. Collaborative filtering is an approach that is vastly used in recommender systems. Item-item-based collaborative filtering is a collaborative filtering recommender system technique where the user got the recommendation based on the similarity among the item ratings. Here, we present an approach where we calculate the similarity among the items based on the genre of items. Any item may belong to more than one genre or category. Based on items propensity to a specific genre or category we propose a new item-item-based similarity metric and a little improvement in prediction method that can efficiently compute the ratings and provide more accurate recommendation compare to the state-of-art works. Our model addresses the problem of the cold start since traditional similarity model takes the user ratings into account whereas our model can calculate the similarity based on item genre or category among them. We also show the extensive simulation results based on sparsity and other recommender system evaluation techniques. We also distinguish that our result outperforms than the traditional collaborative filtering recommender systems.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126229032","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 Curry-Howard isomorphism shows that an intuitionistic deductive system is similar to a formal computational system; propositions correspond to types, proofs to lambda-terms, and a proof normalization procedure to an evaluation strategy. Furthermore, the duality between computation values and continuations is discovered under the Curry-Howard isomorphism. In the traditional lambda calculus, duplication and erasing of values are allowed but those of continuations prohibited. On the other hand, in the lambda calculus with first-class continuations, both values and continuations are permitted to be duplicated and erased. In our previous paper, we proposed a linear lambda calculus with first-class continuations, in which we cannot duplicate and erase values but can do continuations. In this paper, we propose an ML polymorphic type system for the linear lambda calculus with first-class continuations and design a type inference algorithm of the type system.
{"title":"ML Polymorphism of Linear Lambda Calculus with First-class Continuations","authors":"S. Nishizaki","doi":"10.1145/3316615.3316668","DOIUrl":"https://doi.org/10.1145/3316615.3316668","url":null,"abstract":"The Curry-Howard isomorphism shows that an intuitionistic deductive system is similar to a formal computational system; propositions correspond to types, proofs to lambda-terms, and a proof normalization procedure to an evaluation strategy. Furthermore, the duality between computation values and continuations is discovered under the Curry-Howard isomorphism. In the traditional lambda calculus, duplication and erasing of values are allowed but those of continuations prohibited. On the other hand, in the lambda calculus with first-class continuations, both values and continuations are permitted to be duplicated and erased. In our previous paper, we proposed a linear lambda calculus with first-class continuations, in which we cannot duplicate and erase values but can do continuations. In this paper, we propose an ML polymorphic type system for the linear lambda calculus with first-class continuations and design a type inference algorithm of the type system.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126988324","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}
Farooq Haider, M. H. Chaudary, M. S. Naveed, M. Asif
Since the last decade, we have seen a swift formation of real-time applications on the web and numerous exploration regarding Quality of Service (QoS) [1] in mainly IPv4 (Internet Protocol version 4). In IPv4 the address pool has to turn out to be exhausted gradually. As the current development of Internet Protocol (IP) goes on, the placement of IPv6 QoS is proceeding. In IPv4 QoS solutions, DiffServ is the finest method to meet QoS needs for real-time applications. The aim of this research project is to assess the IPv4/IPv6 QoS performance for real-time multimedia applications like streaming of videos which drives over DiffServ in IPv4/IPv6 networks. In this paper, we also studied the Assured Forwarding (AF), Expedited Forwarding (EF), Traffic aggregation and the outcome of multiple performance parameters such as throughput packet loss, end-to-end delay, and variation in delay. Using different tools and techniques, we measured and analyzed DiffServ integration in IPv4/IPv6 network the research project shows that, IPV6 abilities against IPV4 and give confidence to ISP's to deploy IPv6 to provide their customer quality of services support.
{"title":"IPv6 QoS for Multimedia Applications: A Performance Analysis","authors":"Farooq Haider, M. H. Chaudary, M. S. Naveed, M. Asif","doi":"10.1145/3316615.3316653","DOIUrl":"https://doi.org/10.1145/3316615.3316653","url":null,"abstract":"Since the last decade, we have seen a swift formation of real-time applications on the web and numerous exploration regarding Quality of Service (QoS) [1] in mainly IPv4 (Internet Protocol version 4). In IPv4 the address pool has to turn out to be exhausted gradually. As the current development of Internet Protocol (IP) goes on, the placement of IPv6 QoS is proceeding. In IPv4 QoS solutions, DiffServ is the finest method to meet QoS needs for real-time applications. The aim of this research project is to assess the IPv4/IPv6 QoS performance for real-time multimedia applications like streaming of videos which drives over DiffServ in IPv4/IPv6 networks. In this paper, we also studied the Assured Forwarding (AF), Expedited Forwarding (EF), Traffic aggregation and the outcome of multiple performance parameters such as throughput packet loss, end-to-end delay, and variation in delay. Using different tools and techniques, we measured and analyzed DiffServ integration in IPv4/IPv6 network the research project shows that, IPV6 abilities against IPV4 and give confidence to ISP's to deploy IPv6 to provide their customer quality of services support.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"36 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125521165","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}
Masita Masila Bt Abd Jalil, Fatihah Mohd, M. Man, N. Ali, S. Muhamad
Over the decades, Information and Communication Technology (ICT) has become a new trend in the business environment and widely spread in no time at all. Considering all the benefits of ICT, the study utilizes Facebook social media as the electronic business (e-business) and networking platform in marketing the local products of Setiu Wetland women entrepreneurs into wider customer base. This paper presents a case study of rural women entrepreneur in Setiu Wetland, Terengganu, Malaysia from the period of March 2017 until February 2018. To help improve the livelihood through e-business, women entrepreneurs needs to be equipped with entrepreneurship skill explicitly and Information and Communication (ICT) skill implicitly. Through the twelve months' period of tracking the respondent's income, the outcome of this project depicts a 100% achievement with linear proportion of increasing income rate.
{"title":"Social Media Application Usage and Women Entrepreneurship Achievement through E-Business Model: Case of Setiu Wetland","authors":"Masita Masila Bt Abd Jalil, Fatihah Mohd, M. Man, N. Ali, S. Muhamad","doi":"10.1145/3316615.3316709","DOIUrl":"https://doi.org/10.1145/3316615.3316709","url":null,"abstract":"Over the decades, Information and Communication Technology (ICT) has become a new trend in the business environment and widely spread in no time at all. Considering all the benefits of ICT, the study utilizes Facebook social media as the electronic business (e-business) and networking platform in marketing the local products of Setiu Wetland women entrepreneurs into wider customer base. This paper presents a case study of rural women entrepreneur in Setiu Wetland, Terengganu, Malaysia from the period of March 2017 until February 2018. To help improve the livelihood through e-business, women entrepreneurs needs to be equipped with entrepreneurship skill explicitly and Information and Communication (ICT) skill implicitly. Through the twelve months' period of tracking the respondent's income, the outcome of this project depicts a 100% achievement with linear proportion of increasing income rate.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122209497","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}
Poverty in one place can be reduced or minimized if proper poverty alleviation programs are given to the community. In this study different clustering algorithms were evaluated using silhouette index to get the best clustering algorithm to group the households and analyze the poverty data. The k-means algorithm where k=3 outperformed DBSCAN and k-medoids with a silhouette of 0.308. The algorithm produced three groups or clusters and labelled as non-poor, near poor and poor. The result can help policy-makers formulate and implement poverty reduction policies and programs that are clear, reasonable, realistic, and enforceable.
{"title":"Data Mining Using Clustering Algorithm as Tool for Poverty Analysis","authors":"J. A. Talingdan","doi":"10.1145/3316615.3316672","DOIUrl":"https://doi.org/10.1145/3316615.3316672","url":null,"abstract":"Poverty in one place can be reduced or minimized if proper poverty alleviation programs are given to the community. In this study different clustering algorithms were evaluated using silhouette index to get the best clustering algorithm to group the households and analyze the poverty data. The k-means algorithm where k=3 outperformed DBSCAN and k-medoids with a silhouette of 0.308. The algorithm produced three groups or clusters and labelled as non-poor, near poor and poor. The result can help policy-makers formulate and implement poverty reduction policies and programs that are clear, reasonable, realistic, and enforceable.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124004215","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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