Pub Date : 2014-12-01DOI: 10.1109/IIAI-AAI.2014.175
Anthony Pochini, Yitian Wu, Gongzhu Hu
Data mining techniques have been applied to many areas in the business world and our daily life, including healthcare and clinical health services. One of the mostly watched health problems is obesity and overweight, particularly for children and adolescents. In this paper, we try to find the most significant lifestyle risk factors associated with overweight and obesity among high school students in the US. Lifestyle survey data from the 2011 National Youth Risk Behavior Survey (YRBS) was used with the students' body weight statuses, overweight or obesity, considered as two target variables. Both logistic regression models and decision tree models were created for each target variable. Both the logistic regression and decision tree method show that frequently doing physical activity and having breakfast everyday were protective factors against being overweight or obese. Smoking and drinking sugar-sweeten beverage frequently were found to be associated with an increased risk to be obese.
{"title":"Data Mining for Lifestyle Risk Factors Associated with Overweight and Obesity among Adolescents","authors":"Anthony Pochini, Yitian Wu, Gongzhu Hu","doi":"10.1109/IIAI-AAI.2014.175","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2014.175","url":null,"abstract":"Data mining techniques have been applied to many areas in the business world and our daily life, including healthcare and clinical health services. One of the mostly watched health problems is obesity and overweight, particularly for children and adolescents. In this paper, we try to find the most significant lifestyle risk factors associated with overweight and obesity among high school students in the US. Lifestyle survey data from the 2011 National Youth Risk Behavior Survey (YRBS) was used with the students' body weight statuses, overweight or obesity, considered as two target variables. Both logistic regression models and decision tree models were created for each target variable. Both the logistic regression and decision tree method show that frequently doing physical activity and having breakfast everyday were protective factors against being overweight or obese. Smoking and drinking sugar-sweeten beverage frequently were found to be associated with an increased risk to be obese.","PeriodicalId":432222,"journal":{"name":"2014 IIAI 3rd International Conference on Advanced Applied Informatics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114407972","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 : 2014-12-01DOI: 10.1109/IIAI-AAI.2014.75
Gustavo Shinji Inoue, Noriko Uosaki, H. Ogata, Kousuke Mouri
This paper tackles enhancing outside-class learning experiences focusing on JSL (Japanese as a Second Language) learners. Features and approaches of online tools for language learning are overviewed since knowing the pros and cons of each tool is essential for successful language learning and as a cutting-edge online project for language learning, a mobile and ubiquitous learning application called SCROLL is explicated.
{"title":"Enhancing Outside-Class Learning Using Online Tools: A Review Work","authors":"Gustavo Shinji Inoue, Noriko Uosaki, H. Ogata, Kousuke Mouri","doi":"10.1109/IIAI-AAI.2014.75","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2014.75","url":null,"abstract":"This paper tackles enhancing outside-class learning experiences focusing on JSL (Japanese as a Second Language) learners. Features and approaches of online tools for language learning are overviewed since knowing the pros and cons of each tool is essential for successful language learning and as a cutting-edge online project for language learning, a mobile and ubiquitous learning application called SCROLL is explicated.","PeriodicalId":432222,"journal":{"name":"2014 IIAI 3rd International Conference on Advanced Applied Informatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134083053","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 : 2014-12-01DOI: 10.1109/IIAI-AAI.2014.17
Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, S. Hirokawa
The present study proposes prediction approaches of student's grade based on their comments data. Students describe their learning attitudes, tendencies and behaviors by writing their comments freely after each lesson. The main difficulty of this research is to predict students' performance by separately using two class data in each lesson. Although students learn the same subject, there exist differences between the comments in the two classes. The proposed methods basically employ latent semantic analysis (LSA) and two types of machine learning technique: SVM (support vector machine) and ANN (artificial neural network) for predicting students' final results in four grades of S, A, B and C. Moreover, an overlap method was proposed to improve the accuracy prediction results, the method allows to accept two grades for one mark to get the correct relation between LSA results and students' grades. The proposed methods achieve 50.7% and 48.7% prediction accuracy of students' grades by SVM and ANN, respectively. To this end, the results of this study reported models of students' academic performance predictors that are valuable sources of understanding students' behavior and giving feedback to them so that we can improve their learning activities.
{"title":"Comments Data Mining for Evaluating Student's Performance","authors":"Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, S. Hirokawa","doi":"10.1109/IIAI-AAI.2014.17","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2014.17","url":null,"abstract":"The present study proposes prediction approaches of student's grade based on their comments data. Students describe their learning attitudes, tendencies and behaviors by writing their comments freely after each lesson. The main difficulty of this research is to predict students' performance by separately using two class data in each lesson. Although students learn the same subject, there exist differences between the comments in the two classes. The proposed methods basically employ latent semantic analysis (LSA) and two types of machine learning technique: SVM (support vector machine) and ANN (artificial neural network) for predicting students' final results in four grades of S, A, B and C. Moreover, an overlap method was proposed to improve the accuracy prediction results, the method allows to accept two grades for one mark to get the correct relation between LSA results and students' grades. The proposed methods achieve 50.7% and 48.7% prediction accuracy of students' grades by SVM and ANN, respectively. To this end, the results of this study reported models of students' academic performance predictors that are valuable sources of understanding students' behavior and giving feedback to them so that we can improve their learning activities.","PeriodicalId":432222,"journal":{"name":"2014 IIAI 3rd International Conference on Advanced Applied Informatics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132538477","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 : 2014-12-01DOI: 10.1109/IIAI-AAI.2014.35
Y. Aizawa, H. Hirose
The bump hunting, proposed by Friedman and Fisher, has become important in many fields such as marketing and medical fields, and etc. Among them, to answer the unresolved question of molecular heterogeneity and of tumoral phenotype in cancer, the local sparse bump hunting algorithm, such as CART (Classification and Regression Trees) and PRIM (Patient Rule Induction Method), is useful. In the bump hunting, we use the trade-off curve as a criterion such that the algorithm works effectively, instead of the misclassification rate in classification problems. The trade-off curve is constructed by finding the relation between the pureness rate and the capture rate. So far, we assessed the accuracy for the trade-off curve in typical fundamental cases that may be observed in real cases, and found that the proposed tree-GA can construct the effective trade-off curve. In addition, we investigated the prediction accuracy of the tree-GA by comparing the trade-off curve obtained by using the tree-GA with that obtained by using the PRIM, and found the superiority of the tree-GA over the PRIM when the sample size is large. In this paper, to focus on the sparse and small sample size cases observed in medical cases, we have investigated the typical fundamental cases using Monte Carlo simulations, and we found that the non-ignorable biases exist in the tree-GA. We have proposed a method here to remove such biases.
{"title":"Bias Correction for the Trade-Off Curve in the Tree-Ga Bump Hunting","authors":"Y. Aizawa, H. Hirose","doi":"10.1109/IIAI-AAI.2014.35","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2014.35","url":null,"abstract":"The bump hunting, proposed by Friedman and Fisher, has become important in many fields such as marketing and medical fields, and etc. Among them, to answer the unresolved question of molecular heterogeneity and of tumoral phenotype in cancer, the local sparse bump hunting algorithm, such as CART (Classification and Regression Trees) and PRIM (Patient Rule Induction Method), is useful. In the bump hunting, we use the trade-off curve as a criterion such that the algorithm works effectively, instead of the misclassification rate in classification problems. The trade-off curve is constructed by finding the relation between the pureness rate and the capture rate. So far, we assessed the accuracy for the trade-off curve in typical fundamental cases that may be observed in real cases, and found that the proposed tree-GA can construct the effective trade-off curve. In addition, we investigated the prediction accuracy of the tree-GA by comparing the trade-off curve obtained by using the tree-GA with that obtained by using the PRIM, and found the superiority of the tree-GA over the PRIM when the sample size is large. In this paper, to focus on the sparse and small sample size cases observed in medical cases, we have investigated the typical fundamental cases using Monte Carlo simulations, and we found that the non-ignorable biases exist in the tree-GA. We have proposed a method here to remove such biases.","PeriodicalId":432222,"journal":{"name":"2014 IIAI 3rd International Conference on Advanced Applied Informatics","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131580091","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 : 2014-12-01DOI: 10.1109/IIAI-AAI.2014.22
Susumu Yamazaki, Tsukasa Morimoto, T. Futawatari, Atsushi Nogami, T. Jiromaru, M. Iwano
In this paper, we report an applied case study of workshop-based instruction to guide project-based research learning for approximately 280 first-year undergraduate students at the University of Kitakyushu and 25 tutors. The study is called Case Studies on Environmental Issues, and it has two features: a team project and research learning on an environmental problem. Thus, we develop and implement a workshop based on the following instructional design: (1) read the existing instruction manuals and record activities and issues on sticky notes, (2) categorize each sticky note according to the eight essential points of project-based learning, and (3) share the results with teams nearby. We conducted a survey of students after this course, and found that: (1) The workshop is effective in removing the anxiety that students feel about group work and the processes of this course. (2) Satisfaction with the workshop was high because each student understands the process of this course well and becomes conscious of his/her role in a team. (3) This workshop encourages each student to participate in group work, and many students report that they have experienced solving problems as a group. Thus, this workshop is effective for team project-based research learning. We will also propose applications of this method to transform instruction, which tends to bore students, into attractive active learning.
{"title":"Application of Workshop-Based Instruction to Guide Project-Based Research Learning on Environmental Problems","authors":"Susumu Yamazaki, Tsukasa Morimoto, T. Futawatari, Atsushi Nogami, T. Jiromaru, M. Iwano","doi":"10.1109/IIAI-AAI.2014.22","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2014.22","url":null,"abstract":"In this paper, we report an applied case study of workshop-based instruction to guide project-based research learning for approximately 280 first-year undergraduate students at the University of Kitakyushu and 25 tutors. The study is called Case Studies on Environmental Issues, and it has two features: a team project and research learning on an environmental problem. Thus, we develop and implement a workshop based on the following instructional design: (1) read the existing instruction manuals and record activities and issues on sticky notes, (2) categorize each sticky note according to the eight essential points of project-based learning, and (3) share the results with teams nearby. We conducted a survey of students after this course, and found that: (1) The workshop is effective in removing the anxiety that students feel about group work and the processes of this course. (2) Satisfaction with the workshop was high because each student understands the process of this course well and becomes conscious of his/her role in a team. (3) This workshop encourages each student to participate in group work, and many students report that they have experienced solving problems as a group. Thus, this workshop is effective for team project-based research learning. We will also propose applications of this method to transform instruction, which tends to bore students, into attractive active learning.","PeriodicalId":432222,"journal":{"name":"2014 IIAI 3rd International Conference on Advanced Applied Informatics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125700132","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 : 2014-12-01DOI: 10.1109/IIAI-AAI.2014.114
Wei-Lun Chang, Cheng Li, Hao Chun Ting
Facebook and LINE are the two popular social media in Taiwan. This research aims to understand users' behavior(features) and strong/weak ties within the social network as well as if users have been drifted on two social media. We used social network analysis (UCINET) to analyze the features of users and the motivation of drifting on two platforms. Three indicators were also used: degree centrality, betweenness centrality, and closeness centrality. The findings revealed users who had highest value of centralities did not drift from Facebook to LINE. Additionally, users have less usage on Facebook may prefer LINE more. Although many users (especially young people) use LINE very often in Taiwan, the results showed no obvious evidence to drift from Facebook to LINE. The frequency to use two social media is similar according to the outcomes of three centralities.
{"title":"Exploring the Drifting Behavior on Different Social Media","authors":"Wei-Lun Chang, Cheng Li, Hao Chun Ting","doi":"10.1109/IIAI-AAI.2014.114","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2014.114","url":null,"abstract":"Facebook and LINE are the two popular social media in Taiwan. This research aims to understand users' behavior(features) and strong/weak ties within the social network as well as if users have been drifted on two social media. We used social network analysis (UCINET) to analyze the features of users and the motivation of drifting on two platforms. Three indicators were also used: degree centrality, betweenness centrality, and closeness centrality. The findings revealed users who had highest value of centralities did not drift from Facebook to LINE. Additionally, users have less usage on Facebook may prefer LINE more. Although many users (especially young people) use LINE very often in Taiwan, the results showed no obvious evidence to drift from Facebook to LINE. The frequency to use two social media is similar according to the outcomes of three centralities.","PeriodicalId":432222,"journal":{"name":"2014 IIAI 3rd International Conference on Advanced Applied Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124792018","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 : 2014-12-01DOI: 10.1109/IIAI-AAI.2014.21
P. Ardimento, D. Caivano, G. Visaggio
Many technological solutions, especially in the fields of computer science and software engineering, are poorly supported by empirical evidences of their effectiveness and by the experience of acquiring the application in different industrial contexts. The lack of empirical evidences makes managers less confident in applying technological solutions proposed by the research community. Moreover, the lack of experience in the acquisition of technological solutions in different industrial contexts makes acquisition of the technological solution highly risky. These two issues represent a barrier to the diffusion of innovative technological solutions. This paper presents a Knowledge Management System (KMS), called PROMETHEUS, which consists of a platform that manages the Knowledge Experience Base (KEB), which collects Knowledge Experience Packages (KEP). The KMS thus formed supports the formalization and packaging of knowledge and experience of producers and innovation transferors encouraging gradual elicitation of tacit information of bearers of knowledge to facilitate the transfer. The KMS enables the cooperative production and evolution of KEP between different authors and users.
{"title":"Experience Formalized as a Service for Geographical and Temporal Remote Collaboration","authors":"P. Ardimento, D. Caivano, G. Visaggio","doi":"10.1109/IIAI-AAI.2014.21","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2014.21","url":null,"abstract":"Many technological solutions, especially in the fields of computer science and software engineering, are poorly supported by empirical evidences of their effectiveness and by the experience of acquiring the application in different industrial contexts. The lack of empirical evidences makes managers less confident in applying technological solutions proposed by the research community. Moreover, the lack of experience in the acquisition of technological solutions in different industrial contexts makes acquisition of the technological solution highly risky. These two issues represent a barrier to the diffusion of innovative technological solutions. This paper presents a Knowledge Management System (KMS), called PROMETHEUS, which consists of a platform that manages the Knowledge Experience Base (KEB), which collects Knowledge Experience Packages (KEP). The KMS thus formed supports the formalization and packaging of knowledge and experience of producers and innovation transferors encouraging gradual elicitation of tacit information of bearers of knowledge to facilitate the transfer. The KMS enables the cooperative production and evolution of KEP between different authors and users.","PeriodicalId":432222,"journal":{"name":"2014 IIAI 3rd International Conference on Advanced Applied Informatics","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114492115","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 : 2014-12-01DOI: 10.1109/IIAI-AAI.2014.176
Masato Yamauchi, N. Ito, Yoshinobu Kawabe
Currently, electronic control units are employed for almost all automobiles. An engine control unit (ECU), which is also called a powertrain control module, is an electronic control unit for an engine. A fault in computer software for an ECU may cause a hazardous event or a fatal accident. So, in this study, we employ a formal method to design a computer program of ECU. Specifically, we employ a formal method called I/O-automaton, and we model an ECU of a gasoline direct injection engine with a specification language based on I/O-automaton theory. We also introduce an I/O-automaton that is with regard to the correctness of the timing of engine's ignition, and we discuss how to prove the correctness of the design of ECU.
{"title":"Toward Formal Verification of ECU for Gasoline Direct Injection Engines","authors":"Masato Yamauchi, N. Ito, Yoshinobu Kawabe","doi":"10.1109/IIAI-AAI.2014.176","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2014.176","url":null,"abstract":"Currently, electronic control units are employed for almost all automobiles. An engine control unit (ECU), which is also called a powertrain control module, is an electronic control unit for an engine. A fault in computer software for an ECU may cause a hazardous event or a fatal accident. So, in this study, we employ a formal method to design a computer program of ECU. Specifically, we employ a formal method called I/O-automaton, and we model an ECU of a gasoline direct injection engine with a specification language based on I/O-automaton theory. We also introduce an I/O-automaton that is with regard to the correctness of the timing of engine's ignition, and we discuss how to prove the correctness of the design of ECU.","PeriodicalId":432222,"journal":{"name":"2014 IIAI 3rd International Conference on Advanced Applied Informatics","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123811060","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 : 2014-12-01DOI: 10.1109/IIAI-AAI.2014.14
Poom Tantiponganant, Prin Laksitamas
Many universities implement social media for various reasons. It is obvious that the number of social media opportunities provided by universities continue to grow in Thailand. Recently, universities have begun incorporating these social media tools such as Facebook and Line into their marketing mix to connect with everyone, from prospective students to alumni. However, little reliable research existed to indicate whether these tools were an appropriate or effective recruitment resource for universities to use. A sample of 350 freshmen university students took part in the research. The Structural Equation Modeling (SEM) was employed to explain the adoption process. The proposed model was developed based on the technology acceptance model (TAM). The result showed that TAM and SEM were efficient theoretical tools to understand students' acceptance of social media.
{"title":"An Analysis of the Technology Acceptance Model in Understanding Students' Behavioral Intention to Use University's Social Media","authors":"Poom Tantiponganant, Prin Laksitamas","doi":"10.1109/IIAI-AAI.2014.14","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2014.14","url":null,"abstract":"Many universities implement social media for various reasons. It is obvious that the number of social media opportunities provided by universities continue to grow in Thailand. Recently, universities have begun incorporating these social media tools such as Facebook and Line into their marketing mix to connect with everyone, from prospective students to alumni. However, little reliable research existed to indicate whether these tools were an appropriate or effective recruitment resource for universities to use. A sample of 350 freshmen university students took part in the research. The Structural Equation Modeling (SEM) was employed to explain the adoption process. The proposed model was developed based on the technology acceptance model (TAM). The result showed that TAM and SEM were efficient theoretical tools to understand students' acceptance of social media.","PeriodicalId":432222,"journal":{"name":"2014 IIAI 3rd International Conference on Advanced Applied Informatics","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125336153","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 : 2014-12-01DOI: 10.1109/IIAI-AAI.2014.23
Nozomi Nomura, Shunsuke Arai, Keita Tsuji
In this study, we investigated (1) which reference books are held in Japanese public libraries, (2) how many times they are used in reference records in Collaborative Reference Databases, and (3) which reference books are difficult to find in libraries, despite their usefulness. The results showed that there are several reference books which are frequently used in reference records but are not held in many libraries.
{"title":"Investigations on Reference Books Held in Japanese Public Libraries","authors":"Nozomi Nomura, Shunsuke Arai, Keita Tsuji","doi":"10.1109/IIAI-AAI.2014.23","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2014.23","url":null,"abstract":"In this study, we investigated (1) which reference books are held in Japanese public libraries, (2) how many times they are used in reference records in Collaborative Reference Databases, and (3) which reference books are difficult to find in libraries, despite their usefulness. The results showed that there are several reference books which are frequently used in reference records but are not held in many libraries.","PeriodicalId":432222,"journal":{"name":"2014 IIAI 3rd International Conference on Advanced Applied Informatics","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134441324","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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