Pub Date : 2021-01-01DOI: 10.1007/978-3-031-04216-4_22
Aparna Nayak, Bojan Bozic, L. Longo
{"title":"Data Quality Assessment of Comma Separated Values Using Linked Data Approach","authors":"Aparna Nayak, Bojan Bozic, L. Longo","doi":"10.1007/978-3-031-04216-4_22","DOIUrl":"https://doi.org/10.1007/978-3-031-04216-4_22","url":null,"abstract":"","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":"93 1","pages":"240-250"},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85686058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recently we observe a significant increase in the amount of easily accessible data on transport and mobility. This data is mostly massive streams of high velocity, magnitude, and heterogeneity, which represent a flow of goods, shipments and the movements of fleet. It is therefore necessary to develop a scalable framework and apply tools capable of handling these streams. In the paper we propose an approach for the selection of software for stream processing solutions that may be used in the transportation domain. We provide an overview of potential stream processing technologies, followed by the method for choosing the selected software for real-time analysis of data streams coming from objects in motion. We have selected two solutions: Apache Spark Streaming and Apache Flink, and benchmarked them on a real-world task. We identified the caveats and challenges when it comes to implementation of the solution in practice.
{"title":"Stream Processing Tools for Analyzing Objects in Motion Sending High-Volume Location Data","authors":"Krzysztof Węcel, Marcin Szmydt, Milena Stróżyna","doi":"10.52825/bis.v1i.41","DOIUrl":"https://doi.org/10.52825/bis.v1i.41","url":null,"abstract":"Recently we observe a significant increase in the amount of easily accessible data on transport and mobility. This data is mostly massive streams of high velocity, magnitude, and heterogeneity, which represent a flow of goods, shipments and the movements of fleet. It is therefore necessary to develop a scalable framework and apply tools capable of handling these streams. In the paper we propose an approach for the selection of software for stream processing solutions that may be used in the transportation domain. We provide an overview of potential stream processing technologies, followed by the method for choosing the selected software for real-time analysis of data streams coming from objects in motion. We have selected two solutions: Apache Spark Streaming and Apache Flink, and benchmarked them on a real-world task. We identified the caveats and challenges when it comes to implementation of the solution in practice.","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":"67 1","pages":"257-268"},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73898859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1007/978-3-031-04216-4_9
I. Szabó, Gábor Neusch
{"title":"Comparative Analysis of Highly Ranked BIS Degree Programs","authors":"I. Szabó, Gábor Neusch","doi":"10.1007/978-3-031-04216-4_9","DOIUrl":"https://doi.org/10.1007/978-3-031-04216-4_9","url":null,"abstract":"","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":"78 1","pages":"86-92"},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89049459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1007/978-3-031-04216-4_27
M. Dabrowski, K. Sandkuhl
{"title":"Market Launch and Regulative Assessment of ICT-Based Medical Devices: Case Study and Problem Definition","authors":"M. Dabrowski, K. Sandkuhl","doi":"10.1007/978-3-031-04216-4_27","DOIUrl":"https://doi.org/10.1007/978-3-031-04216-4_27","url":null,"abstract":"","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":"35 1","pages":"304-315"},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81072716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1007/978-3-031-04216-4_13
Erik Lautenschläger
{"title":"The Perception of Test Driven Development in Computer Science - Outline for a Structured Literature Review","authors":"Erik Lautenschläger","doi":"10.1007/978-3-031-04216-4_13","DOIUrl":"https://doi.org/10.1007/978-3-031-04216-4_13","url":null,"abstract":"","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":"51 1","pages":"121-126"},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73850668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper explores the data integration process step record linkage. Thereby we focus on the entity company. For the integration of company data, the company name is a crucial attribute, which often includes the legal form. This legal form is not concise and consistent represented among different data sources, which leads to considerable data quality problems for the further process steps in record linkage. To solve these problems, we classify and ex-tract the legal form from the attribute company name. For this purpose, we iteratively developed four different approaches and compared them in a benchmark. The best approach is a hybrid approach combining a rule set and a supervised machine learning model. With our developed hybrid approach, any company data sets from research or business can be processed. Thus, the data quality for subsequent data processing steps such as record linkage can be improved. Furthermore, our approach can be adapted to solve the same data quality problems in other attributes.
{"title":"Developing a Legal Form Classification and Extraction Approach for Company Entity Matching Benchmark of Rule-Based and Machine Learning Approaches","authors":"Felix Kruse, Jan-Philipp Awick, J. Gómez, P. Loos","doi":"10.52825/bis.v1i.44","DOIUrl":"https://doi.org/10.52825/bis.v1i.44","url":null,"abstract":"This paper explores the data integration process step record linkage. Thereby we focus on the entity company. For the integration of company data, the company name is a crucial attribute, which often includes the legal form. This legal form is not concise and consistent represented among different data sources, which leads to considerable data quality problems for the further process steps in record linkage. To solve these problems, we classify and ex-tract the legal form from the attribute company name. For this purpose, we iteratively developed four different approaches and compared them in a benchmark. The best approach is a hybrid approach combining a rule set and a supervised machine learning model. With our developed hybrid approach, any company data sets from research or business can be processed. Thus, the data quality for subsequent data processing steps such as record linkage can be improved. Furthermore, our approach can be adapted to solve the same data quality problems in other attributes.","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":"08 1","pages":"13-26"},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85903296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1007/978-3-031-04216-4_7
Marjeta Marolt, A. Pucihar, G. Lenart, Doroteja Vidmar, Blaz Gasperlin, M. K. Borstnar
{"title":"COVID-19-Related Challenges in Business Information Systems Education: Experiences from Slovenia","authors":"Marjeta Marolt, A. Pucihar, G. Lenart, Doroteja Vidmar, Blaz Gasperlin, M. K. Borstnar","doi":"10.1007/978-3-031-04216-4_7","DOIUrl":"https://doi.org/10.1007/978-3-031-04216-4_7","url":null,"abstract":"","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":"16 1","pages":"73-78"},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78695266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1007/978-3-031-04216-4_29
H. Precht, J. Gómez
{"title":"Enabling Electronic Bills of Lading by Using a Private Blockchain","authors":"H. Precht, J. Gómez","doi":"10.1007/978-3-031-04216-4_29","DOIUrl":"https://doi.org/10.1007/978-3-031-04216-4_29","url":null,"abstract":"","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":"7 1","pages":"334-346"},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74668033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1007/978-3-031-04216-4_31
V. Dostov, P. Shust, S. Krivoruchko
{"title":"Fast Payment Systems Dynamics: Lessons from Diffusion of Innovation Models","authors":"V. Dostov, P. Shust, S. Krivoruchko","doi":"10.1007/978-3-031-04216-4_31","DOIUrl":"https://doi.org/10.1007/978-3-031-04216-4_31","url":null,"abstract":"","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":"27 1","pages":"359-370"},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82164024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Many personality theories suggest that personality influences customer shopping preference. Thus, this research analyses the potential ability to improve the accuracy of the collaborative filtering recommender system by incorporating the Five-Factor Model personality traits data obtained from customer text reviews. The study uses a large Amazon dataset with customer reviews and information about verified customer product purchases. However, evaluation results show that the model leveraging big data by using the whole Amazon dataset provides better recommendations than the recommender systems trained in the contexts of the customer personality traits.
{"title":"Contextual Personality-Aware Recommender System Versus Big Data Recommender System","authors":"Marcin Szmydt","doi":"10.52825/bis.v1i.38","DOIUrl":"https://doi.org/10.52825/bis.v1i.38","url":null,"abstract":"Many personality theories suggest that personality influences customer shopping preference. Thus, this research analyses the potential ability to improve the accuracy of the collaborative filtering recommender system by incorporating the Five-Factor Model personality traits data obtained from customer text reviews. The study uses a large Amazon dataset with customer reviews and information about verified customer product purchases. However, evaluation results show that the model leveraging big data by using the whole Amazon dataset provides better recommendations than the recommender systems trained in the contexts of the customer personality traits.","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":"92 1","pages":"163-173"},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77347103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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