2018 12th International Conference on Research Challenges in Information Science (RCIS)最新文献

ProDiGy : Human-in-the-loop process discovery 奇才:人在循环过程发现

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-07-06 DOI: 10.1109/RCIS.2018.8406657

P. M. Dixit, J. Buijs, Wil M.P. van der Aalst

{"title":"ProDiGy : Human-in-the-loop process discovery","authors":"P. M. Dixit, J. Buijs, Wil M.P. van der Aalst","doi":"10.1109/RCIS.2018.8406657","DOIUrl":"https://doi.org/10.1109/RCIS.2018.8406657","url":null,"abstract":"Process mining is a discipline that combines the two worlds of business process management and data mining. The central component of process mining is a graphical process model that provides an intuitive way of capturing the logical flow of a process. Traditionally, these process models are either modeled by a user relying on domain expertise only; or discovered automatically by relying entirely on event data. In an attempt to address this apparent gap between user-driven and data-driven process discovery, we present ProDiGy, an alternative approach that enables interactive process discovery by allowing the user to actively steer process discovery. ProDiGy provides the user with automatic recommendations to edit a process model, and quantify and visualize the impact of each recommendation. We evaluated ProDiGy (i) objectively by comparing it with automated discovery approaches and (ii) subjectively by performing a user study with healthcare researchers. Our results show that ProDiGy enables inclusion of domain knowledge in process discovery, which leads to an improvement of the results over the traditional process discovery techniques. Furthermore, we found that ProDiGy also increases the comprehensibility of a process model by providing the user with more control over the discovery of the process model.","PeriodicalId":408651,"journal":{"name":"2018 12th International Conference on Research Challenges in Information Science (RCIS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134550539","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}

引用次数: 12

10 Challenges for the specification of self-adaptive software 10 .自适应软件规范的挑战

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406640

J. Muñoz-Fernández, R. Mazo, C. Salinesi, Gabriel Tamura

引用次数: 8

Using Probabilistic Relational Models to generate synthetic spatial or non-spatial databases 使用概率关系模型生成综合空间或非空间数据库

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406645

Rajani Chulyadyo, Philippe Leray

引用次数: 3

Process mining in logistics: The need for rule-based data abstraction 物流中的流程挖掘:对基于规则的数据抽象的需求

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406653

R. V. Cruchten, H. Weigand

引用次数: 9

Reasoning methods for ME-maps — A CSP based approach me映射的推理方法。基于CSP的方法

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406678

Azzam Maraee, A. Sturm

引用次数: 0

Using crowdsourced data for empirical research in information systems: What it is and how to do it safe? 在信息系统的实证研究中使用众包数据:它是什么以及如何做到安全?

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406646

M. Daneva

{"title":"Using crowdsourced data for empirical research in information systems: What it is and how to do it safe?","authors":"M. Daneva","doi":"10.1109/RCIS.2018.8406646","DOIUrl":"https://doi.org/10.1109/RCIS.2018.8406646","url":null,"abstract":"Industry-relevant information systems (IS) and software engineering (SE) research assumes practitioners' involvement, be it in the exploration of the state-of-the-art practice or in the investigation of real-life problems experienced in organizations. Crowdsourcing is an appealing concept for collecting practitioners' perceptions on an industry-relevant phenomenon that is of interest to researchers. As practitioners-generated contents are easily available in social media platforms such as practitioners' blogs or professional discussion groups in LinkedIn, researchers face the opportunity to use this crowdsourced information for the purpose of gaining understanding of a situation from the point of view of the professionals involved therein. While there are many benefits of using crowdsourcing for data collection, there are also challenges, all of which pose validity threats of various degrees to the empirical results obtained. This tutorial will provide a systematic understanding of the use of practitioners' crowdsourced data for empirical research purposes, and of the possible ways to safely apply it in IS and SE research. The tutorial leverages the tutor's experience and lessons learned from using practitioners' blogs articles for qualitative research in business-IT alignment and in large scale online games. At the end of the tutorial, attendees should be able to critically reason about (i) the possible choices in designing a crowdsourcing-based research process, (ii) the quality criteria for judging their research designs, and (iii) the criteria for evaluating their studies.","PeriodicalId":408651,"journal":{"name":"2018 12th International Conference on Research Challenges in Information Science (RCIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129566418","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}

引用次数: 0

Influence in time-dependent citation networks 时间依赖引文网络的影响

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406647

M. Rakoczy, A. Bouzeghoub, Alda Lopes Gançarski, K. Wegrzyn-Wolska

引用次数: 5

A multiple criteria evaluation technique for missing values imputation 缺失值估算的多准则评估技术

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406659

L. Othman, S. Yahia

{"title":"A multiple criteria evaluation technique for missing values imputation","authors":"L. Othman, S. Yahia","doi":"10.1109/RCIS.2018.8406659","DOIUrl":"https://doi.org/10.1109/RCIS.2018.8406659","url":null,"abstract":"Missing values are a common problem in most data quality research. Most existing imputation methods of missing values are often evaluated using some distance measure computed between the reference data and the imputed one. Another alternative to evaluate the quality of the imputation is to assess the classification accuracy. In this paper, we address the problem of the evaluation of missing values imputation methods showing that the “best” imputation method according to one criterion is not necessary the “best” according to other criteria. Unfortunately, evaluating an imputation method according to a single aspect is not sufficient. Nevertheless, it is possible that we are interested in the “best” method in terms of two or three aspects simultaneously. This paper proposes different criteria aggregation based on the idea of preserving the characteristics of the original data and considers the evaluation technique of the missing values imputation methods as a Multiple Criteria Decision Making (MCDM) problem. We use the TOPSIS method to implement this multiple criteria evaluation technique. Carried out experiments on benchmark datasets confirm the soundness of our approach.","PeriodicalId":408651,"journal":{"name":"2018 12th International Conference on Research Challenges in Information Science (RCIS)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132110998","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}

引用次数: 3

Model-driven development of OData services: An application to relational databases OData服务的模型驱动开发:关系数据库的应用程序

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406667

Hamza Ed-Douibi, Javier Luis Cánovas Izquierdo, Jordi Cabot

{"title":"Model-driven development of OData services: An application to relational databases","authors":"Hamza Ed-Douibi, Javier Luis Cánovas Izquierdo, Jordi Cabot","doi":"10.1109/RCIS.2018.8406667","DOIUrl":"https://doi.org/10.1109/RCIS.2018.8406667","url":null,"abstract":"Open Data Protocol (OData) is a protocol to facilitate the publication and consumption of queryable and interoperable data-driven online services. OData is based on the use of RESTful APIs derived from a data model plus a URL-based query language to identify and filter the data described in such model. Due to its maturity and ease of use for end-users and client applications, OData has become the natural choice to publish datasets online. Still, creating OData services is a tedious and time-consuming task, since data providers should (1) represent their data models in OData format, (2) implement the business logic to transform OData requests to SQL statements (or the target storage technology of choice), and (3) de/serialize the exchanged messages conforming to the OData protocol. This paper presents a model-based approach aimed at (semi)automating all these steps. From an initial UML class diagram, we derive all the artifacts required to have an OData service up and running on top of a relational database conforming to the model definition. A prototypical implementation of the approach is provided.","PeriodicalId":408651,"journal":{"name":"2018 12th International Conference on Research Challenges in Information Science (RCIS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114469489","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}

引用次数: 2

Knowledge management infrastructure and processes on effectiveness of nursing care 护理有效性的知识管理基础设施和流程

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406664

O. J. Ajanaku

{"title":"Knowledge management infrastructure and processes on effectiveness of nursing care","authors":"O. J. Ajanaku","doi":"10.1109/RCIS.2018.8406664","DOIUrl":"https://doi.org/10.1109/RCIS.2018.8406664","url":null,"abstract":"The purpose of this study is to investigate the influence of knowledge management infrastructure and process on nursing care effectiveness in selected teaching hospitals in Southwest Nigeria. The organization of nursing knowledge resources is critical to health care organizations for providing safe and high quality care for patients. Therefore, it is necessary to study the role of knowledge management in clinical nursing practice and the outcomes on the effectiveness of nursing care. Despite the critical role of nursing care in defining high-performing health care delivery, knowledge management in this area is still at an early stage of development. Based on organizational capability theory and employing concurrent mixed-method research design, this study seeks to identify the components of knowledge infrastructure and processes that influence the efficiency and effectiveness of nursing care in clinical floor nursing of selected teaching hospitals in Nigeria, a developing country in Africa. The output from the research is expected to contribute to the domain of literature/knowledge; provide awareness of the knowledge management practices in nursing care in Nigeria; assist nursing administrators, health policy makers and hospital management to exploit and make effective use of knowledge-based resources to enhance nursing care which can improve the productivity of health care organizations.","PeriodicalId":408651,"journal":{"name":"2018 12th International Conference on Research Challenges in Information Science (RCIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121736980","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}

引用次数: 4