2019 2nd International Conference on Computer Applications & Information Security (ICCAIS)最新文献_第3页

Product Recommendation in Case-based Reasoning 基于案例推理的产品推荐

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769523

Mashael Aldayel, Hafida Benhidour

引用次数: 0

Detecting Phishing Websites Using Machine Learning 使用机器学习检测钓鱼网站

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769571

Amani Alswailem, Bashayr Alabdullah, Norah Alrumayh, Aram Al-Sedrani

引用次数: 44

Wireless Sensor Networks Security: Case study 无线传感器网络安全:案例研究

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769510

Faleh Alfaleh, Haitham Alfehaid, M. Alanzy, Salim Elkhediri

引用次数: 3

Minimizing Prediction Time for Catheter-Associated Urinary Tract Infection Using Big Data Mining Model 利用大数据挖掘模型最小化导尿管相关性尿路感染的预测时间

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769451

Omar Baeissa, Amin Y. Noaman, A. H. Ragab, Asmaa Hagag

{"title":"Minimizing Prediction Time for Catheter-Associated Urinary Tract Infection Using Big Data Mining Model","authors":"Omar Baeissa, Amin Y. Noaman, A. H. Ragab, Asmaa Hagag","doi":"10.1109/CAIS.2019.8769451","DOIUrl":"https://doi.org/10.1109/CAIS.2019.8769451","url":null,"abstract":"This paper focuses on minimizing prediction time for Catheter-Associated Urinary Tract Infection (CAUTI) as one of the main types of Healthcare Associated Infections (HAIs) through a big data analytics model. Big data raises the bar as a result of additional features. It is mainly characterized by tremendous amount of data that is composed of different forms. It also deals with the rapid data flow rate that is generated from multiple sources, and to top it off the quality of the data is questionable. Data mining (DM) approach consumes significantly less time, provides higher accuracy, and prevents personal subjective decisions. The paper evaluates seven data mining algorithms with real patients dataset. It includes more than 28,000 cases for a period of five years. The modeling process considers the latest definition of the Centers for Disease Control and Prevention (CDC), published in January 2019. The model is evaluated through calculations of different assessment factors such as accuracy, computation speed, and precision (true positive and true negative). The research results show the best suitable algorithm is Naïve Bayes. It overcomes the other data mining techniques utilized in similar works.","PeriodicalId":220129,"journal":{"name":"2019 2nd International Conference on Computer Applications & Information Security (ICCAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131300680","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

Improving QoS in Wireless Mesh Networks Using Heterogeneous and Hybrid Scheduling Design Approaches 利用异构和混合调度设计方法提高无线Mesh网络的QoS

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769568

S. Sheikh, R. Wolhuter, H. Engelbrecht

{"title":"Improving QoS in Wireless Mesh Networks Using Heterogeneous and Hybrid Scheduling Design Approaches","authors":"S. Sheikh, R. Wolhuter, H. Engelbrecht","doi":"10.1109/CAIS.2019.8769568","DOIUrl":"https://doi.org/10.1109/CAIS.2019.8769568","url":null,"abstract":"Wireless mesh networks (WMNs) offer low deployment costs and the potential to be implemented in smart rural applications where cost is a major concern. These applications generate heterogeneous data with different priorities. Carrier sense multiple access with collision avoidance (CSMA/CA) is widely used in WMNs due to the lack of a central controller for scheduling. In multi-domain networks, gateway devices are subjected to higher load levels. Since data is carried in a multi-hop fashion in WMNs, an increase in contention is observed, which results in an increase in collisions compared to single-hop networks. Enhanced distributed channel access (EDCA) was developed to provide quality of service (QoS) for multimedia traffic in single-hop networks. EDCA is known to starve lower-priority data in high-load scenarios. We propose to address these performance degradation issues through a proposed queue load control priority (QLCP) scheduling strategy, as well as through hybrid design networks, by configuring different scheduling strategies to edge and core nodes. Our results show that QLCP works best in edge nodes in hybrid networks with distributed coordination function (DCF) in the core nodes and that choice of an appropriate scheduling strategy can have a significant impact on the QoS achievable in WMNs.","PeriodicalId":220129,"journal":{"name":"2019 2nd International Conference on Computer Applications & Information Security (ICCAIS)","volume":"183 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131653781","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

Human Computer Interaction Study on Fujifilm Instax Mini 8 Camera Using Evaluation Techniques 基于评价技术的富士Instax Mini 8相机人机交互研究

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769461

Hemyan Abdullah AlBuainain, Sarah Nawaf AlMelihi, Sarah Ali AlKhaidi, Rahaf AlZahrani, Amani Ali AlQahtani

引用次数: 1

The Impact of Feature Selection Methods for Classifying Arabic Texts 特征选择方法对阿拉伯语文本分类的影响

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769526

R. Elhassan, Mahmoud Ali

引用次数: 2

Effort Estimation using Bayesian Networks for Agile Development 基于贝叶斯网络的敏捷开发工作量估算

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769455

Claudio Ratke, Helcio Hoffmann, T. Gaspar, Pedro Edmundo Floriani

引用次数: 5

A Novel Database for Arabic Handwritten Recognition (NDAHR) System 一种新的阿拉伯语手写识别系统数据库

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769580

Ahmed Subhi Abdalkafor, Emad Tariq Allawi, Khalid W. Al-Ani, Aiman Majid Nassar

引用次数: 6

Skin Cancer Monitoring Project 皮肤癌监测计划

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769479

Wafa Matar A Alharbi

引用次数: 0