发布求助
文献互助 智能选刊 最新文献

International Journal of Database Management Systems最新文献

筛选
英文 中文
HISTSFC: Optimization for ND Massive Spatial Points Querying ND海量空间点查询的优化
International Journal of Database Management Systems Pub Date : 2020-06-30 DOI: 10.5121/ijdms.2020.12302
Haicheng Liu, P. V. Oosterom, M. Meijers, Xuefeng Guan, E. Verbree, M. Horhammer
{"title":"HISTSFC: Optimization for ND Massive Spatial Points Querying","authors":"Haicheng Liu, P. V. Oosterom, M. Meijers, Xuefeng Guan, E. Verbree, M. Horhammer","doi":"10.5121/ijdms.2020.12302","DOIUrl":"https://doi.org/10.5121/ijdms.2020.12302","url":null,"abstract":"Space Filling Curve (SFC) mapping-based clustering and indexing works effectively for point clouds management and querying. It maps both points and queries into a one-dimensional SFC space so that B+- tree could be utilized. Based on the basic structure, this paper develops a generic HistSFC approach which utilizes a histogram tree recording point distribution for efficient querying. The goal is to resolve the issue of skewed data querying. Besides, the paper proposes an agile method to compute a continuous Level of Detail (cLoD), and integrates it into HistSFC to support smooth rendering of massive points. Results indicate that for range queries, HistSFC decreases the False Positive Rate (FPR) of selection by maximally 80%, compared to previous approaches. It also performs significantly faster than the state-of- the-art Oracle SDO_PC solution. With improved performance on visualization and k Nearest Neighbour (kNN) search, HistSFC can therefore be used as a new standard solution.","PeriodicalId":247652,"journal":{"name":"International Journal of Database Management Systems","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133301963","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
A Context-aware Strategy for Mobile Services in M-commerce 移动商务中移动服务的情境感知策略
International Journal of Database Management Systems Pub Date : 2020-06-30 DOI: 10.5121/ijdms.2020.12303
Kuen-Liang Sue
{"title":"A Context-aware Strategy for Mobile Services in M-commerce","authors":"Kuen-Liang Sue","doi":"10.5121/ijdms.2020.12303","DOIUrl":"https://doi.org/10.5121/ijdms.2020.12303","url":null,"abstract":"Due to mobile communication technologies, the novel mobile commerce is coming true. The contextaware service is one of the most potential mobile commerce. The data about mobile users and their surroundings are recognized and collected, which are used to provide the services they may be interested. Fuzzy logical processing model are utilized to make basic data correspond to the mobile users’ high-level information, so the recognition of their behaviours and situations could be inferred in our research. The numerical examples are also illustrated in our scheme. Based on the results of our activity recognition mechanism, it is possible to automatically discover and transmit the contents or services that users require in specific scenarios. Therefore, more and more novel mobile applications are coming true. To sum up, the proposed scheme is supposed to enhance context-aware services and provide more attractive life styles.","PeriodicalId":247652,"journal":{"name":"International Journal of Database Management Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132409508","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
Storing Data in A Document-oriented Database and Implemented from A Structured Nesting Logical Model 在面向文档的数据库中存储数据并通过结构化嵌套逻辑模型实现
International Journal of Database Management Systems Pub Date : 2020-04-30 DOI: 10.5121/ijdms.2020.12202
Storing Data, Y. Hiyane, A. Benmakhlouf
{"title":"Storing Data in A Document-oriented Database and Implemented from A Structured Nesting Logical Model","authors":"Storing Data, Y. Hiyane, A. Benmakhlouf","doi":"10.5121/ijdms.2020.12202","DOIUrl":"https://doi.org/10.5121/ijdms.2020.12202","url":null,"abstract":"Given the exponential increase in data volumes, the variety of data types, and the complexity of processing, researchers have begun to look at another type of database model that is moving away from the classic rules of the relational model. Among the NoSQL models proposed in a set of research works, there is the document-oriented model. This model relies on the key-document pair. The documents are JSON or XML type. A single key can thus retrieve all information hierarchically and nested, which would require multiple joins in the SQL model. In this work we propose a method of storing data in a nested document-oriented database. The latter will be obtained from a standardized conceptual model by applying the transformation rules from the data conceptual model (DCM) to the nested document-oriented model (NDOM). A performance study will also be carried out in this work to show NDOM model ability to process massive data through aggregation queries.","PeriodicalId":247652,"journal":{"name":"International Journal of Database Management Systems","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132560093","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: 1
A Novel Remote Access Control for the Real-time Streaming Data of IP Cameras 一种新的IP摄像机实时流数据远程访问控制方法
International Journal of Database Management Systems Pub Date : 2020-04-30 DOI: 10.5121/ijdms.2020.12201
Kuen-Liang Sue, T. Wu
{"title":"A Novel Remote Access Control for the Real-time Streaming Data of IP Cameras","authors":"Kuen-Liang Sue, T. Wu","doi":"10.5121/ijdms.2020.12201","DOIUrl":"https://doi.org/10.5121/ijdms.2020.12201","url":null,"abstract":"","PeriodicalId":247652,"journal":{"name":"International Journal of Database Management Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128487186","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
Acceptance of E-procurement in Organisations: Using Structural Equation Modeling (SEM) 组织对电子采购的接受:使用结构方程模型(SEM)
International Journal of Database Management Systems Pub Date : 2020-04-30 DOI: 10.5121/ijdms.2020.12203
Muhammed S. Maddi, P. Davis, J. Geraghty
{"title":"Acceptance of E-procurement in Organisations: Using Structural Equation Modeling (SEM)","authors":"Muhammed S. Maddi, P. Davis, J. Geraghty","doi":"10.5121/ijdms.2020.12203","DOIUrl":"https://doi.org/10.5121/ijdms.2020.12203","url":null,"abstract":"","PeriodicalId":247652,"journal":{"name":"International Journal of Database Management Systems","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129245843","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
Operational Intelligence Performance Inferencing Across Business Processes 跨业务流程的操作智能性能推断
International Journal of Database Management Systems Pub Date : 2020-02-29 DOI: 10.5121/ijdms.2020.12101
R. Kaula
{"title":"Operational Intelligence Performance Inferencing Across Business Processes","authors":"R. Kaula","doi":"10.5121/ijdms.2020.12101","DOIUrl":"https://doi.org/10.5121/ijdms.2020.12101","url":null,"abstract":"Business process intelligence improves operational efficiency that is essential for achieving business objectives, besides facilitating competitive advantage. As an organization is a collection of business processes, operations in one business process do influence or have relationship with other business processes. Consequently, from an operational intelligence standpoint, insights from one business process may have their genesis or implications in the performance of some other business process. This paper outlines a framework to sequence insights in the form of performance inferencing across multiple business processes. The framework logically sequences insights across business processes in the form of business rules. The paper illustrates the concepts through a prototype that is implemented in Oracle’s PL/SQL language.","PeriodicalId":247652,"journal":{"name":"International Journal of Database Management Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115988099","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
Image Steganography Using in Homogeneous Images with Modyfing Vernam Scheme 基于修正Vernam方案的同质图像隐写
International Journal of Database Management Systems Pub Date : 2019-08-31 DOI: 10.5121/ijdms.2019.11401
Huda H.Al.ghuraify, Ali A.Al-bakry, Ahmad T. Al-jayashi
{"title":"Image Steganography Using in Homogeneous Images with Modyfing Vernam Scheme","authors":"Huda H.Al.ghuraify, Ali A.Al-bakry, Ahmad T. Al-jayashi","doi":"10.5121/ijdms.2019.11401","DOIUrl":"https://doi.org/10.5121/ijdms.2019.11401","url":null,"abstract":"Nowadays, due to the rapiddevelopment of the internet, it is prominent to guard mystery data from cyberpunks through communicating. The steganography technique utilizes for trading mystery data in an approach to stay away from doubt. This paper accomplishes a manner for encryption each channel of RGB color image separately without the necessity to exchange an encryption key utilizing the principle of modifying vernam scheme then camouflage it into a grayscale cover image .On the other hand, encrypts a grayscale image without the necessity to exchange an encryption key utilizing the principle of modifying vernam scheme then camouflage it into a cover image of RGB color type . The simulation results revealed an offering of extremely security for the image transmission.","PeriodicalId":247652,"journal":{"name":"International Journal of Database Management Systems","volume":"285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116511035","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
Authorization Framework for Medical Data 医疗数据授权框架
International Journal of Database Management Systems Pub Date : 2019-06-29 DOI: 10.5121/IJDMS.2019.11302
Geetha Madadevaiah, Prasad Rv, Amogh Hiremath, M. Dumontier, A. Dekker
{"title":"Authorization Framework for Medical Data","authors":"Geetha Madadevaiah, Prasad Rv, Amogh Hiremath, M. Dumontier, A. Dekker","doi":"10.5121/IJDMS.2019.11302","DOIUrl":"https://doi.org/10.5121/IJDMS.2019.11302","url":null,"abstract":"In this paper, the authors describe an approach for sharing sensitive medical data with the consent of the data owner. The framework builds on the advantages of the Semantic Web technologies and makes it secure and robust for sharing sensitive information in a controlled environment. The framework uses a combination of Role-Based and Rule-Based Access Policies to provide security to a medical data repository as per the FAIR guidelines. A lightweight ontologywas developed, to collect consent from the users indicating which part of their data they want to share with another user having a particular role. Here, the authors have considered the scenario of sharing the medical data by the owner of data, say the patient, with relevant persons such as physicians, researchers, pharmacist, etc. To prove this concept, the authors developed a prototype and validated using the Sesame OpenRDF Workbench with 202,908 triples and a consent graph stating consents per patient.","PeriodicalId":247652,"journal":{"name":"International Journal of Database Management Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122299154","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
Bridging Data Silos Using Big Data Integration 使用大数据集成弥合数据孤岛
International Journal of Database Management Systems Pub Date : 2019-06-29 DOI: 10.5121/IJDMS.2019.11301
Jayesh Patel
{"title":"Bridging Data Silos Using Big Data Integration","authors":"Jayesh Patel","doi":"10.5121/IJDMS.2019.11301","DOIUrl":"https://doi.org/10.5121/IJDMS.2019.11301","url":null,"abstract":"With cloud computing, cheap storage and technology advancements, an enterprise uses multiple applications to operate business functions. Applications are not limited to just transactions, customer service, sales, finance but they also include security, application logs, marketing, engineering, operations, HR and many more. Each business vertical uses multiple applications which generate a huge amount of data. On top of that, social media, IoT sensors, SaaS solutions, and mobile applications record exponential growth in data volume. In almost all enterprises, data silos exist through these applications. These applications can produce structured, semi-structured, or unstructured data at different velocity and in different volume. Having all data sources integrated and generating timely insights helps in overall decision making. With recent development in Big Data Integration, data silos can be managed better and it can generate tremendous value for enterprises. Big data integration offers flexibility, speed and scalability for integrating large data sources. It also offers tools to generate analytical insights which can help stakeholders to make effective decisions. This paper presents the overview on data silos, challenges with data silos and how big data integration can help to stun them.","PeriodicalId":247652,"journal":{"name":"International Journal of Database Management Systems","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125418907","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: 17
AN INFECTIOUS DISEASE PREDICTION METHOD BASED ON K-NEAREST NEIGHBOR IMPROVED ALGORITHM 基于k近邻改进算法的传染病预测方法
International Journal of Database Management Systems Pub Date : 2019-02-28 DOI: 10.5121/ijdms.2019.11102
Yaming Chen, W. Meng, Fenghua Zhang, Xinlu Wang, Qingtao Wu
{"title":"AN INFECTIOUS DISEASE PREDICTION METHOD BASED ON K-NEAREST NEIGHBOR IMPROVED ALGORITHM","authors":"Yaming Chen, W. Meng, Fenghua Zhang, Xinlu Wang, Qingtao Wu","doi":"10.5121/ijdms.2019.11102","DOIUrl":"https://doi.org/10.5121/ijdms.2019.11102","url":null,"abstract":"With the continuous development of medical information construction, the potential value of a large amount of medical information has not been exploited. Excavate a large number of medical records of outpatients, and train to generate disease prediction models to assist doctors in diagnosis and improve work efficiency.This paper proposes a disease prediction method based on k-nearest neighbor improvement algorithm from the perspective of patient similarity analysis. The method draws on the idea of clustering, extracts the samples near the center point generated by the clustering, applies these samples as a new training sample set in the K-nearest neighbor algorithm; based on the maximum entropy The K-nearest neighbor algorithm is improved to overcome the influence of the weight coefficient in the traditional algorithm and improve the accuracy of the algorithm. The real experimental data proves that the proposed k-nearest neighbor improvement algorithm has better accuracy and operational efficiency.","PeriodicalId":247652,"journal":{"name":"International Journal of Database Management Systems","volume":"198200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122059160","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书