2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)最新文献

Benchmark for OLAP on NoSQL technologies comparing NoSQL multidimensional data warehousing solutions 基于NoSQL技术的OLAP基准测试，比较NoSQL多维数据仓库解决方案

2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2015-05-13 DOI: 10.1109/RCIS.2015.7128909

M. Chevalier, M. Malki, A. Kopliku, O. Teste, R. Tournier

引用次数: 33

Adaptive software-based Feedback Acquisition: A Persona-based design 基于自适应软件的反馈获取:基于人物的设计

2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2015-05-13 DOI: 10.1109/RCIS.2015.7128868

Malik Almaliki, Cornelius Ncube, Raian Ali

引用次数: 27

Holistic Statistical Open Data integration based on integer linear programming 基于整数线性规划的整体统计开放数据集成

2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2015-05-13 DOI: 10.1109/RCIS.2015.7128908

A. Berro, I. Megdiche, O. Teste

引用次数: 2

Re-designing process architectures towards a framework of design dimensions 按照设计维度的框架重新设计流程体系结构

2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2015-05-13 DOI: 10.1109/RCIS.2015.7128881

Alexei Lapouchnian, E. Yu, A. Sturm

引用次数: 26

Flexibility of collaborative processes using versions and adaptation patterns 使用版本和适应模式的协作过程的灵活性

2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2015-05-13 DOI: 10.1109/RCIS.2015.7128901

Imen Ben Said, M. Chaâbane, R. Bouaziz, E. Andonoff

引用次数: 11

A novel method for automatic discovery, annotation and interactive visualization of prominent clusters in mobile subscriber datasets 一种移动用户数据集中突出聚类的自动发现、标注和交互式可视化新方法

2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2015-05-13 DOI: 10.1109/RCIS.2015.7128872

M. ShabanaK, jobin. wilson, jobin. wilson

{"title":"A novel method for automatic discovery, annotation and interactive visualization of prominent clusters in mobile subscriber datasets","authors":"M. ShabanaK, jobin. wilson, jobin. wilson","doi":"10.1109/RCIS.2015.7128872","DOIUrl":"https://doi.org/10.1109/RCIS.2015.7128872","url":null,"abstract":"Customers are the most important aspect of any business and hence a solid customer segmentation strategy is a vital component in customer experience management (CEM). With declining revenues, increasing competition, regulatory pressures and price wars, communication service providers (CSPs) are increasingly focusing on CEM for subscriber retention and revenue enhancement. Grouping subscribers based on their behavior traits help CSPs to devise highly targeted marketing strategies and promotional schemes catering to preferences of individual segments, thereby improving the overall business performance and customer value. Clustering algorithms are widely used by CSPs for customer segmentation. Even though clustering algorithms attempt to identify natural groupings of subscribers based on their profile and service usage patterns, meaningfully visualizing and annotating these clusters to enable faster decisioning is a challenging problem, requiring a lot of manual intervention. In this paper, we present a novel scalable method for automatic discovery, annotation and interactive visualization of prominent segments in mobile subscriber datasets. We also extent this technique to segment migration analysis, allowing marketers to closely understand temporal behavior patterns of subscribers.","PeriodicalId":244105,"journal":{"name":"2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128643626","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

A GUI modeling language for mobile applications 用于移动应用程序的GUI建模语言

2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2015-05-13 DOI: 10.1109/RCIS.2015.7128866

Sebastian Geiger-Prat, Beatriz Marín, Sergio España, Giovanni Giachetti

引用次数: 10

Measuring sustainability for an effective Information System audit from public organization perspective 从公共组织的角度衡量有效信息系统审计的可持续性

2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2015-05-13 DOI: 10.1109/RCIS.2015.7128862

A. Rahman, Shareeful Islam, Ameer Al-Nemrat

{"title":"Measuring sustainability for an effective Information System audit from public organization perspective","authors":"A. Rahman, Shareeful Islam, Ameer Al-Nemrat","doi":"10.1109/RCIS.2015.7128862","DOIUrl":"https://doi.org/10.1109/RCIS.2015.7128862","url":null,"abstract":"Information System (IS) auditing is the assessment of various controls, risk, and system development within IS infrastructures. Incorporation of sustainability within the existing audit process aims to enhance the execution of the IS audit for an effective information system. Commonly, the performance of an IS service is evaluated through quantitative scales such as Likert Scale. However, such measurement does not provide an accurate value of the audit context due to lack of precision. Our work attempts to address this limitation. In particular, we propose a Sustainability-driven Information System Audit (SISA) approach that integrates Analytical Hierarchy Process (AHP) and the Fuzzy Set Theory (FST) to determine the performance of sustainability in IS focusing on the public organization. Sustainability consists of five dimensions as audit criteria, i.e., economic, environmental, resources, social and technology. These audit criteria are also contain sub-criteria such as cost, green IS...etc. In our case, the AHP is used to identify the relevance importance of the sustainability dimensions and its related attributes so that we can prioritize the relevant audit areas. The priority is then used to determine the level of the satisfactory of the IS sustainability using the FST. Finally, we provide a case study from the National Audit Department of Malaysia to demonstrate the applicability of our approach. The results show that this approach is useful for an effective audit towards sustainability, where auditors are able to produce effective justification for IS audit findings.","PeriodicalId":244105,"journal":{"name":"2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128151833","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: 8

An analytical model for data persistence in Business Data Warehouses 业务数据仓库中数据持久性的分析模型

2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2015-05-13 DOI: 10.1109/RCIS.2015.7128896

V. Köppen, Thorsten Winsemann, G. Saake

{"title":"An analytical model for data persistence in Business Data Warehouses","authors":"V. Köppen, Thorsten Winsemann, G. Saake","doi":"10.1109/RCIS.2015.7128896","DOIUrl":"https://doi.org/10.1109/RCIS.2015.7128896","url":null,"abstract":"Redundancy of data persistence in Data Warehouses is mostly justified with better performance when accessing data for analysis. However, there are other reasons to store data redundantly, which are often not recognized when designing data warehouses. Especially in Business Data Warehouses, data management via multiple persistence levels is necessary to condition the huge amount of data into an adequate format for its final usage. Redundant data allocates additional disk space and requires time-consuming processing and huge effort for complex maintenance. That means in reverse: avoiding data persistence leads to less effort. The question arises: What data for what purposes do really need to be stored? In this paper, we discuss decision support and evaluation approaches beyond cost-based comparisons. We use a compendium of purposes for data persistence. We define a model that includes objective indicators and subjective user preferences for decision making on data persistence in Business Data Warehouses. We develop an indicator system that enables the measurement of technical as well as business-related facts. With multi-criteria decision methodology, we present a framework to objectively compare different alternatives for data persistence. Finally, we apply our developed method to a real world Business Data Warehouse and show applicability and integration of our model in an existing system.","PeriodicalId":244105,"journal":{"name":"2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)","volume":"178 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131991066","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

Automated refinement of business processes through model transformations specifying business rules 通过指定业务规则的模型转换自动细化业务流程

2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2015-05-13 DOI: 10.1109/RCIS.2015.7128893

R. Popp, H. Kaindl

{"title":"Automated refinement of business processes through model transformations specifying business rules","authors":"R. Popp, H. Kaindl","doi":"10.1109/RCIS.2015.7128893","DOIUrl":"https://doi.org/10.1109/RCIS.2015.7128893","url":null,"abstract":"Business processes are changing over time, e.g., due to new or changed legal regulations. Complex processes are susceptible to change, since they capture much detail and/or deal with variability according to context. Manual adaptation of process models according to such changes takes time and is error-prone. In order to address these issues, primarily complexity, we propose to model high-level reference processes with less detail than the fully-fledged processes. The missing details are captured in additional business rules that operationalize how an organization performs miscellaneous tasks. Their application to a high-level reference process leads to its refinement. Technically, we propose explicit separation of process models (represented in BPMN) and specifications of business rules (represented as model-transformation rules based on the BPMN 2.0 metamodel). Applying such rules as model transformations to process models (at design-time) leads to models of either refined or adjusted models of business processes. In this way, even without any extension of the BPMN 2.0 standard, these model adaptations can handle the required changes of business processes.","PeriodicalId":244105,"journal":{"name":"2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133365911","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: 6