Dealing with the present congestion and creating sustainable transport systems has been the greatest challenge of urban transport planning. As transportation activities affect environmental quality, knowledge, why travellers prefer specific modes can help a region do judicious transportation planning. The travellers' daily trip and mode choice process have mainly involved three types of choice: mode choice, time choice, and route choice. In this paper, we focus on studying the impact of the activity characteristics that include activity purpose and the characteristics of the individuals, such as gender, age and income, and average distance of the trip, on the transport mode choice for completing activities of travellers. The aim is to use statistical analysis to investigate the impact of these variables on transport mode choice applying the decision tree model, which provides a set of easy-to-interpret decision rules necessary to make appropriate decisions. The data processing in this study is based on actual observations of travel behaviour in Budapest. Our analysis's findings indicate that income, distance, and activity purpose are the most significant factors in the decisions related to mode choice. Also, this study provides promising insights for developing activity chain modelling.
{"title":"An Analysis of the Impact of Activity Characteristics and Individual Characteristics on the Transport Mode Choice: A case Study of Budapest city, Hungary","authors":"Wissam Qassim Al-Salih, D. Esztergár-Kiss","doi":"10.1145/3512576.3512671","DOIUrl":"https://doi.org/10.1145/3512576.3512671","url":null,"abstract":"Dealing with the present congestion and creating sustainable transport systems has been the greatest challenge of urban transport planning. As transportation activities affect environmental quality, knowledge, why travellers prefer specific modes can help a region do judicious transportation planning. The travellers' daily trip and mode choice process have mainly involved three types of choice: mode choice, time choice, and route choice. In this paper, we focus on studying the impact of the activity characteristics that include activity purpose and the characteristics of the individuals, such as gender, age and income, and average distance of the trip, on the transport mode choice for completing activities of travellers. The aim is to use statistical analysis to investigate the impact of these variables on transport mode choice applying the decision tree model, which provides a set of easy-to-interpret decision rules necessary to make appropriate decisions. The data processing in this study is based on actual observations of travel behaviour in Budapest. Our analysis's findings indicate that income, distance, and activity purpose are the most significant factors in the decisions related to mode choice. Also, this study provides promising insights for developing activity chain modelling.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115367394","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}
Maria Rona Perez, Danna May Manssul, Rossana Adao, Eymard Pempina, A. Lagman, Melba Besa
Crafting a good digital experience for children can be difficult; game designers have to consider children's cognitive and motor skill limitations, understand their target audience, create something entertaining and educational at the same time. This should also comply with national and international jurisdiction, and time appeal to parents as well. In this paper the researchers used of an educational game called Tahderiyyah Literacy App (TLA) with standard general framework which designers and developers created for children ages four to six years old. This platform has been the testing ground for the edutainment game in the field of user experience. The purpose of the paper is to observe the interactions, experience and adaptation of kindergarten pupil (learners) on a particular on the TLA based on game's user experience. TLA was design using their mother tongue which can be played on mobile devices. Focusing only to learners from Muslim Community. While the term User Experience encompasses both physical and digital experiences, the main focus for the framework is purely for digital services wherein only touch based devices are evaluated in greater detail. On the assessment process, students were observed and interviewed about the game and what they learned about numbers and letters from game they played. This process was done to help the kindergarten answers their questionnaires. Every learner that act as respondents were guided to answer the answer the questionnaires given to them. Results of using TLA to analyze an HCI factors in learning environment are described in the later part of this paper. Implications for using TLA as a design for pedagogical tool are also discussed.
{"title":"Playing for Learning: A Student Engagement Assessment on Edutainment Game based on User Experience","authors":"Maria Rona Perez, Danna May Manssul, Rossana Adao, Eymard Pempina, A. Lagman, Melba Besa","doi":"10.1145/3512576.3512622","DOIUrl":"https://doi.org/10.1145/3512576.3512622","url":null,"abstract":"Crafting a good digital experience for children can be difficult; game designers have to consider children's cognitive and motor skill limitations, understand their target audience, create something entertaining and educational at the same time. This should also comply with national and international jurisdiction, and time appeal to parents as well. In this paper the researchers used of an educational game called Tahderiyyah Literacy App (TLA) with standard general framework which designers and developers created for children ages four to six years old. This platform has been the testing ground for the edutainment game in the field of user experience. The purpose of the paper is to observe the interactions, experience and adaptation of kindergarten pupil (learners) on a particular on the TLA based on game's user experience. TLA was design using their mother tongue which can be played on mobile devices. Focusing only to learners from Muslim Community. While the term User Experience encompasses both physical and digital experiences, the main focus for the framework is purely for digital services wherein only touch based devices are evaluated in greater detail. On the assessment process, students were observed and interviewed about the game and what they learned about numbers and letters from game they played. This process was done to help the kindergarten answers their questionnaires. Every learner that act as respondents were guided to answer the answer the questionnaires given to them. Results of using TLA to analyze an HCI factors in learning environment are described in the later part of this paper. Implications for using TLA as a design for pedagogical tool are also discussed.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"57 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120853384","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}
Utilizing information and communication technologies (ICT) for the smart city is considered as a management strategy for growing population and rapid urbanization situation. Autonomous vehicles (AVs) will play a role to improve road safety, relieve congestion, save energy, and reduce air pollution. Moreover, it would be also a solution to solve the first mile and last-mile problem in transportation. Shared autonomous vehicle (SAV) is a service for public transportation, or paratransit system. Once SAV service is applied in an urban city, the new mode will have new interactions with existing modes. Besides, an emerging technology breakthrough is accompanied by user adoption and reliability. This paper proposes a demand-supply conceptual framework for studying the possible operations of SAVs. The demand side is modeled through multinomial logit models (MNL) based on a survey. The MNL is used to analyze travelers' preferences for SAVs and Biogeme software to estimate parameters. The results show that SAV is more likely to be used by people who use public transit frequently, have a ride-sharing experience, and are female.
{"title":"Autonomous Vehicles Preference Study with the consideration of Motorcyclists in Taiwan","authors":"Li-Wen Chen, Chuan Chuang","doi":"10.1145/3512576.3512674","DOIUrl":"https://doi.org/10.1145/3512576.3512674","url":null,"abstract":"Utilizing information and communication technologies (ICT) for the smart city is considered as a management strategy for growing population and rapid urbanization situation. Autonomous vehicles (AVs) will play a role to improve road safety, relieve congestion, save energy, and reduce air pollution. Moreover, it would be also a solution to solve the first mile and last-mile problem in transportation. Shared autonomous vehicle (SAV) is a service for public transportation, or paratransit system. Once SAV service is applied in an urban city, the new mode will have new interactions with existing modes. Besides, an emerging technology breakthrough is accompanied by user adoption and reliability. This paper proposes a demand-supply conceptual framework for studying the possible operations of SAVs. The demand side is modeled through multinomial logit models (MNL) based on a survey. The MNL is used to analyze travelers' preferences for SAVs and Biogeme software to estimate parameters. The results show that SAV is more likely to be used by people who use public transit frequently, have a ride-sharing experience, and are female.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"59 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120985690","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}
Shuqin Zhang, Wei Jiang, N. Yang, Bing Long, Jianan Zhu, Yi Zhou
Based on time elasticity definitions for passengers, ground staff and crew, we propose one evaluation method, which screens out airport ground service process with the maximum time elasticity for transit flight, to reduce arrival time of passengers at airports, increase the flexibility of ground services and improve the connectivity between arrivals and departures for crew. Firstly, timed delay Petri net is used to elicit all feasible service processes of one transit flight, and then the optimal service process is obtained by Analytic Hierarchy Process and fuzzy comprehensive evaluation method. Finally, one concrete example results show that the method can obtain time elasticity ranking of all feasible service processes which demonstrates its effectiveness.
{"title":"Time elasticity evaluation of flight turnaround ground service process","authors":"Shuqin Zhang, Wei Jiang, N. Yang, Bing Long, Jianan Zhu, Yi Zhou","doi":"10.1145/3512576.3512665","DOIUrl":"https://doi.org/10.1145/3512576.3512665","url":null,"abstract":"Based on time elasticity definitions for passengers, ground staff and crew, we propose one evaluation method, which screens out airport ground service process with the maximum time elasticity for transit flight, to reduce arrival time of passengers at airports, increase the flexibility of ground services and improve the connectivity between arrivals and departures for crew. Firstly, timed delay Petri net is used to elicit all feasible service processes of one transit flight, and then the optimal service process is obtained by Analytic Hierarchy Process and fuzzy comprehensive evaluation method. Finally, one concrete example results show that the method can obtain time elasticity ranking of all feasible service processes which demonstrates its effectiveness.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121093469","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}
At present, tourist buses are mostly a single mode connecting scenic spots. How to build a multi-level tourist bus system that serves world-class tourist cities is worthy of attention. Based on the concept of TOD, this paper innovatively proposes methods to evaluate the TOD index of tourism and to plan the tourism bus network hierarchically. First of all, this paper constructs a tourism TOD index from three perspectives: the service level around the tourist intention point, the development potential around the tourist intention point, and the traffic convenience near the tourist intention point. In the context of traffic big data, a web spider which is written in Python crawls POI data to realize the quantification of tourism TOD indicators. Then, ArcGIS is used to statistically analyze the tourism TOD index to determine the graded travel demand points of passengers. According to the demand of passenger flow, the multi-level tourist bus network is planned reasonably. Finally, the research results are applied to the tourist bus in Guilin City, which proves that the method has good applicability.
{"title":"Research on Layered Planning of Tourism Bus Network Based on TOD Concepte: A Case of the Tourism Bus of Guilin City","authors":"Z. Song, Dehui Gao, P. Chen, Yuehan Cao","doi":"10.1145/3512576.3512658","DOIUrl":"https://doi.org/10.1145/3512576.3512658","url":null,"abstract":"At present, tourist buses are mostly a single mode connecting scenic spots. How to build a multi-level tourist bus system that serves world-class tourist cities is worthy of attention. Based on the concept of TOD, this paper innovatively proposes methods to evaluate the TOD index of tourism and to plan the tourism bus network hierarchically. First of all, this paper constructs a tourism TOD index from three perspectives: the service level around the tourist intention point, the development potential around the tourist intention point, and the traffic convenience near the tourist intention point. In the context of traffic big data, a web spider which is written in Python crawls POI data to realize the quantification of tourism TOD indicators. Then, ArcGIS is used to statistically analyze the tourism TOD index to determine the graded travel demand points of passengers. According to the demand of passenger flow, the multi-level tourist bus network is planned reasonably. Finally, the research results are applied to the tourist bus in Guilin City, which proves that the method has good applicability.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127474771","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}
In the short-distance transportation of Ro-Ro passenger ships, the crew takes a short time to secure the vehicle before sailing, and sometimes the vehicle is not effectively secured. In windy weather, the vehicle is prone to slip and capsize, causing the ship to tip over. This article analyzes the five aspects of "ships, crews, large vehicles, natural environment, and navigable environment", and establishes an index system for the safety of short-distance Ro-Ro passenger ships carrying large vehicles; the C-OWA operator weighting method is used to calculate each evaluation index For weight, the asymmetric close degree function is introduced to replace the maximum membership function in the traditional extension theory to solve the problem of the failure of the maximum membership degree, so as to establish an improved matter-element extension model. Taking the Qiongzhou Strait Ro-Ro passenger ship as an example to verify, the navigation safety risk level of the Ro-Ro passenger ship is obtained for the situation that large vehicles are not secured. The research results are basically consistent with the actual situation, verifying the effectiveness and practicability of the improved matter-element extension model for the research on the impact of this type of navigation safety.
{"title":"Research on the impact of large vehicles on the safety of short-distance Ro-Ro passenger ships","authors":"Wanyu Hu, Zhongzhou Fan, Zhipeng Zhang, Pengfei Jiang","doi":"10.1145/3512576.3512672","DOIUrl":"https://doi.org/10.1145/3512576.3512672","url":null,"abstract":"In the short-distance transportation of Ro-Ro passenger ships, the crew takes a short time to secure the vehicle before sailing, and sometimes the vehicle is not effectively secured. In windy weather, the vehicle is prone to slip and capsize, causing the ship to tip over. This article analyzes the five aspects of \"ships, crews, large vehicles, natural environment, and navigable environment\", and establishes an index system for the safety of short-distance Ro-Ro passenger ships carrying large vehicles; the C-OWA operator weighting method is used to calculate each evaluation index For weight, the asymmetric close degree function is introduced to replace the maximum membership function in the traditional extension theory to solve the problem of the failure of the maximum membership degree, so as to establish an improved matter-element extension model. Taking the Qiongzhou Strait Ro-Ro passenger ship as an example to verify, the navigation safety risk level of the Ro-Ro passenger ship is obtained for the situation that large vehicles are not secured. The research results are basically consistent with the actual situation, verifying the effectiveness and practicability of the improved matter-element extension model for the research on the impact of this type of navigation safety.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125439386","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}
Space-based TT&C network is a satellite network with dynamic topology. How to make space-based TT&C network run more efficiently is challenging. In order to reveal the internal relationship between satellite nodes and between satellite and ground user nodes in space-based TT&C network and give a general law, the network capacity of space-based TT&C network is studied in this paper. Firstly, according to the characteristics of nodes and links in space-based TT&C network, a network capacity model for time-varying space network is proposed. The model describes and constrains the network capacity model from four aspects: path availability, transmission rate, path planning strategy and path reliability. Then, the change trend of network capacity of space-based TT&C network is analyzed. Through simulation analysis, the possibility of optimizing the control networking strategy of space-based TT&C network is pointed out.
{"title":"Network Capacity Model and Constraint Analysis of Dynamic Space-Based TT&C Network","authors":"Wei Zhang, C. Li, Taojing Wu","doi":"10.1145/3512576.3512631","DOIUrl":"https://doi.org/10.1145/3512576.3512631","url":null,"abstract":"Space-based TT&C network is a satellite network with dynamic topology. How to make space-based TT&C network run more efficiently is challenging. In order to reveal the internal relationship between satellite nodes and between satellite and ground user nodes in space-based TT&C network and give a general law, the network capacity of space-based TT&C network is studied in this paper. Firstly, according to the characteristics of nodes and links in space-based TT&C network, a network capacity model for time-varying space network is proposed. The model describes and constrains the network capacity model from four aspects: path availability, transmission rate, path planning strategy and path reliability. Then, the change trend of network capacity of space-based TT&C network is analyzed. Through simulation analysis, the possibility of optimizing the control networking strategy of space-based TT&C network is pointed out.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122331691","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}
W. Sardjono, Given Name Johan, Hargo Utomo, Samudra Sukardi, A. Rahmasari
Industry 4.0 is a topic that attracts attention for practitioners and researchers because it has not been explored much. Technological developments that occur have disrupted existing business processes in the company. The supply chain is part of the company's business activities that are affected by technological developments of existing technology. Therefore, there is a need for realignment between technological developments and supply chain so that measurements can be made regarding supply chain performance in a company. This research provides a navigation that can be used by practitioners to measure performance in supply chains that have been integrated with industry 4.0. In addition, to develop research related to the Supply Chain performance measurement method using the balanced scorecard in the industrial era 4.0.
{"title":"SUPPLY CHAIN MEASUREMENT IN THE INDUSTRY 4.0 USING BALANCED SCORECARD","authors":"W. Sardjono, Given Name Johan, Hargo Utomo, Samudra Sukardi, A. Rahmasari","doi":"10.1145/3512576.3512598","DOIUrl":"https://doi.org/10.1145/3512576.3512598","url":null,"abstract":"Industry 4.0 is a topic that attracts attention for practitioners and researchers because it has not been explored much. Technological developments that occur have disrupted existing business processes in the company. The supply chain is part of the company's business activities that are affected by technological developments of existing technology. Therefore, there is a need for realignment between technological developments and supply chain so that measurements can be made regarding supply chain performance in a company. This research provides a navigation that can be used by practitioners to measure performance in supply chains that have been integrated with industry 4.0. In addition, to develop research related to the Supply Chain performance measurement method using the balanced scorecard in the industrial era 4.0.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120961211","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}
Ranie B. Canlas, K. Piad, A. Lagman, J. Espino, Jayson M. Victoriano, Isagani Tano, Nicanor San Gabriel
Research productivity is seen as a shared issue present in most academic institutions, as research output requires skills, time and patience. In the Philippines, higher education institutions are mandated to undertake research and other similar investigations in various academic areas since they are one of the key institutions who play major role in the generation and dissemination of knowledge. This study generally aimed to come up with prediction model for faculty research productivity. Specifically, it tried to seek solutions to the following: identification of necessary attributes that have significant relationship to faculty research productivity, generate computational model for predicting research productivity of faculty through J48 Decision Tree Algorithm and validate the performance of computational model using confusion matrix analysis, precision, recall and f-measure. Results showed that attributes such as paper proposal, length of service, age, teaching loads, academic ranks, designation/s, civil status, academic qualification, sex and status of appointment has vital influence to research productivity of faculty. The computational model generated had an acceptable computed accuracy, precision, recall and f-measure results. Based on the data model performance results, the system can be used and can be implemented in an actual working system.
{"title":"Predicting Faculty Research Productivity using J48 Decision Tree Algorithm","authors":"Ranie B. Canlas, K. Piad, A. Lagman, J. Espino, Jayson M. Victoriano, Isagani Tano, Nicanor San Gabriel","doi":"10.1145/3512576.3512624","DOIUrl":"https://doi.org/10.1145/3512576.3512624","url":null,"abstract":"Research productivity is seen as a shared issue present in most academic institutions, as research output requires skills, time and patience. In the Philippines, higher education institutions are mandated to undertake research and other similar investigations in various academic areas since they are one of the key institutions who play major role in the generation and dissemination of knowledge. This study generally aimed to come up with prediction model for faculty research productivity. Specifically, it tried to seek solutions to the following: identification of necessary attributes that have significant relationship to faculty research productivity, generate computational model for predicting research productivity of faculty through J48 Decision Tree Algorithm and validate the performance of computational model using confusion matrix analysis, precision, recall and f-measure. Results showed that attributes such as paper proposal, length of service, age, teaching loads, academic ranks, designation/s, civil status, academic qualification, sex and status of appointment has vital influence to research productivity of faculty. The computational model generated had an acceptable computed accuracy, precision, recall and f-measure results. Based on the data model performance results, the system can be used and can be implemented in an actual working system.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":" 23","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113950136","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}
Multi-label learning studies exist in a wide range of diverse scenes such as text processing, image mining, emotion analysis, etc. Feature selection technologies are proposed to be a vital factor in the scene of multi-label learning, which can relieve the influence of curse of dimensionality, enhance the classification accuracy, and reduce the time of consumption of learning process. At present, a great number of multi-label feature selection algorithms are proposed by the researchers who are focused on the machine learning or other research fields. It is demonstrated that considering the label correlation when the method choices the importance feature subset will improve the multi-label learning methods performance. On this account, a method that based on correlations of label is proposed in this work.
{"title":"Multi-label Learning By exploiting Correlations of Label Subsets","authors":"Liwen Peng, Xiaolin Zhu, Zhang Yun","doi":"10.1145/3512576.3512613","DOIUrl":"https://doi.org/10.1145/3512576.3512613","url":null,"abstract":"Multi-label learning studies exist in a wide range of diverse scenes such as text processing, image mining, emotion analysis, etc. Feature selection technologies are proposed to be a vital factor in the scene of multi-label learning, which can relieve the influence of curse of dimensionality, enhance the classification accuracy, and reduce the time of consumption of learning process. At present, a great number of multi-label feature selection algorithms are proposed by the researchers who are focused on the machine learning or other research fields. It is demonstrated that considering the label correlation when the method choices the importance feature subset will improve the multi-label learning methods performance. On this account, a method that based on correlations of label is proposed in this work.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128155908","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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