Proceedings of the 2020 9th International Conference on Software and Computer Applications最新文献_第5页

A False Negative Cost Minimization Ensemble Methods for Customer Churn Analysis 客户流失分析的假负成本最小化集成方法

Proceedings of the 2020 9th International Conference on Software and Computer Applications Pub Date : 2020-02-18 DOI: 10.1145/3384544.3384551

Wong Keng Tuck, Chien-Le Goh, Ng Hu

{"title":"A False Negative Cost Minimization Ensemble Methods for Customer Churn Analysis","authors":"Wong Keng Tuck, Chien-Le Goh, Ng Hu","doi":"10.1145/3384544.3384551","DOIUrl":"https://doi.org/10.1145/3384544.3384551","url":null,"abstract":"The primary objective of this research is to develop hybrid decision tree induction methods based on the decision tree C4.5 algorithm and ensemble methods, taking into account cost-sensitivity for the purpose of minimizing either misclassification cost, false negative cost or false positive cost. This paper proposed two cost-sensitive learning methods by modifying the model weight of AdaBoost.M1 for churn analysis in the telecommunication industry. Method 1 applies the ratio of false negative cost over true negative cost to make the weight of false negative heavier than the weight of false positive. While Method 2 combines error rate weighting with false negative cost weighting in order to let examples have heavier weight values for future training in the next learning cycle. The proposed methods have been evaluated with a series of experiments to prove its ability to reduce either false negative cost or misclassification costs. Microsoft Azure Machine Learning Telco Customer Churn and IBM Watson Studio Telecommunication Customer Churn datasets, which include the cost value for each instance, are used for the experiments. The proposed Method 1 able to obtain the lowest false negative cost comparing with the original AdaBoost.M1.","PeriodicalId":200246,"journal":{"name":"Proceedings of the 2020 9th International Conference on Software and Computer Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129328078","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

Adopting Jaya Algorithm for Team Formation Problem 采用Jaya算法求解队形问题

Proceedings of the 2020 9th International Conference on Software and Computer Applications Pub Date : 2020-02-18 DOI: 10.1145/3384544.3384593

Md. Abdul Kader, K. Z. Zamli

引用次数: 3

A Malware Detection Framework Based on Forensic and Unsupervised Machine Learning Methodologies 基于取证和无监督机器学习方法的恶意软件检测框架

Proceedings of the 2020 9th International Conference on Software and Computer Applications Pub Date : 2020-02-18 DOI: 10.1145/3384544.3384556

A. Irfan, A. Ariffin, M. N. Mahrin, Syahid Anuar

{"title":"A Malware Detection Framework Based on Forensic and Unsupervised Machine Learning Methodologies","authors":"A. Irfan, A. Ariffin, M. N. Mahrin, Syahid Anuar","doi":"10.1145/3384544.3384556","DOIUrl":"https://doi.org/10.1145/3384544.3384556","url":null,"abstract":"The detection of malware intrusion requires the identification of its signature. However, it is a complex task due to the malware sophisticated ability to evade security mechanisms deployed by cybersecurity practitioners. Evasion is possible due to malware authors changing the malware signature using metamorphism or polymorphism tactics. Currently, it is necessary to formulate a malware detection method focusing on dynamic and automated malware analysis. Malware Indicator of Compromise (IOC) data analysis with machine learning can be used as a technique to obtain the malware signatures. This technical approach is practical as cyber-attacks using malware with new or changed signature are pandemic and remain undetected, therefore, a framework is needed to overcome this situation. Thus, this research proposed a malware detection framework based on forensic and unsupervised machine learning methodologies. The framework is experimented and proven in detecting malware by referring to the signature derived from the analysis. Furthermore, the framework can provide guidelines for cybersecurity practitioners to conduct threat hunting within their IT systems.","PeriodicalId":200246,"journal":{"name":"Proceedings of the 2020 9th International Conference on Software and Computer Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132830380","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

Service Learning in Application Development Course: A Case Study of a Rural Community Engagement 应用开发课程中的服务学习:以农村社区参与为例

Proceedings of the 2020 9th International Conference on Software and Computer Applications Pub Date : 2020-02-18 DOI: 10.1145/3384544.3384601

S. Sulaiman, Siti Julia Mohd Shahrol, A. Samad

{"title":"Service Learning in Application Development Course: A Case Study of a Rural Community Engagement","authors":"S. Sulaiman, Siti Julia Mohd Shahrol, A. Samad","doi":"10.1145/3384544.3384601","DOIUrl":"https://doi.org/10.1145/3384544.3384601","url":null,"abstract":"Service learning aims to expose students mainly at tertiary studies to engage with the local communities under the selected registered courses. It enables students to apply the assigned projects at the chosen community. Thus, they can learn and solve real problems. This paper reports the service-learning component that is integrated with a four-credit Application Development course for the third-year students of Semester 1, Session 2019/2020 under Bachelor of Computer Science (Software Engineering) programme at School of Computing, Universiti Teknologi Malaysia. The students were attached to a rural community project known as Centre for Advancement in Rural Education Informatics (iCARE) during the one-semester study. The students were assigned to solve the issues in mastering English among rural learners by developing either a mobile application or an augmented reality application in a team of three students. The materials were provided by the English teacher who acts as the key stakeholder to represent the rural schools in Southeast Johor region under the Southeast Johor Development Authority (KEJORA). The study shows good impacts among both the university students and the rural students selected under the study.","PeriodicalId":200246,"journal":{"name":"Proceedings of the 2020 9th International Conference on Software and Computer Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131396581","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

A Novel Method of Distortionless Correlation Function after STAP for BOC 一种用于BOC的STAP后无失真相关函数的新方法

Proceedings of the 2020 9th International Conference on Software and Computer Applications Pub Date : 2020-02-18 DOI: 10.1145/3384544.3384591

Zukun Lu, Feiqiang Chen, Honglei Lin, Yifan Sun, Yuchen Xie

引用次数: 0

DDoSify DDoSify

Proceedings of the 2020 9th International Conference on Software and Computer Applications Pub Date : 2020-02-18 DOI: 10.1145/3384544.3384602

A. Singh, R. Jaiswal

引用次数: 2

An Improved Gas Efficient Library for Securing IoT Smart Contracts Against Arithmetic Vulnerabilities 一种改进的燃气效率库，用于保护物联网智能合约免受算术漏洞的侵害

Proceedings of the 2020 9th International Conference on Software and Computer Applications Pub Date : 2020-02-18 DOI: 10.1145/3384544.3384577

J. Khor, Mansur Aliyu Masama, M. Sidorov, WeiChung Leong, JiaJun Lim

{"title":"An Improved Gas Efficient Library for Securing IoT Smart Contracts Against Arithmetic Vulnerabilities","authors":"J. Khor, Mansur Aliyu Masama, M. Sidorov, WeiChung Leong, JiaJun Lim","doi":"10.1145/3384544.3384577","DOIUrl":"https://doi.org/10.1145/3384544.3384577","url":null,"abstract":"Public blockchains targeting Internet of Things (IoT) are gaining more traction every day with majority of them being built on top of the Ethereum infrastructure. However, a growing number of these blockchains introduces security issues. There are 525 entries already in the Common Vulnerabilities and Exposure database related to Ethereum smart contracts. 479 of them are related to arithmetic errors, which include integer overflow or underflow. This paper, thus, concentrates on analyzing arithmetic vulnerabilities found in existing public blockchains targeted at IoT applications. Furthermore, the performance in terms of security and gas cost of smart contracts is analyzed with and without SafeMath library. In addition, an improved SafeMath library is proposed that has better arithmetic coverage and requires lower gas consumption. Four security tools are used to analyze the arithmetic protection of the improved SafeMath library. The results show that the improved SafeMath library is able to cover 4 more arithmetic operations compared to the original one by using only two common conditions checks and is capable of saving 26 units of gas, which is a significant amount in the long run.","PeriodicalId":200246,"journal":{"name":"Proceedings of the 2020 9th International Conference on Software and Computer Applications","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116324175","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

Real Time Face Recognition on an Edge Computing Device 基于边缘计算设备的实时人脸识别

Proceedings of the 2020 9th International Conference on Software and Computer Applications Pub Date : 2020-02-18 DOI: 10.1145/3384544.3384567

Samarth Gupta

{"title":"Real Time Face Recognition on an Edge Computing Device","authors":"Samarth Gupta","doi":"10.1145/3384544.3384567","DOIUrl":"https://doi.org/10.1145/3384544.3384567","url":null,"abstract":"Face recognition systems have vast applications in surveillance systems and human-computer interactions. Different approaches such as Principal Component Analysis, Fisher linear discriminant analysis, Convolutional Neural Networks (CNN) have been commonly used for face recognition. However, in the recent times, CNN's have shown quite promising results in various face recognition systems. But, deep learning based CNNs have many limitations such as they require extensive training data, have excessively high computational and cooling requirements, and lack flexibility in deployment. Fields such as robotics and embedded systems that deploy face recognition systems have significantly less power on board and limited heat dissipation capacity. Therefore, it becomes difficult to deploy deep learning models on them but edge computing based devices like the Intel Neural Stick bridge this gap as they have certain advantages. In this paper, we review different applications of face recognition systems and various algorithms used for face recognition. We then elaborate the limitations of deep learning based face recognition systems and examine how edge-computing devices can solve these problems. We then present a flowchart to deploy a CNN based face recognition model on an edge-computing device.","PeriodicalId":200246,"journal":{"name":"Proceedings of the 2020 9th International Conference on Software and Computer Applications","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116607728","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

Wikidata based Location Entity Linking 基于维基数据的位置实体链接

Proceedings of the 2020 9th International Conference on Software and Computer Applications Pub Date : 2020-02-18 DOI: 10.1145/3384544.3384592

Fathima Shanaz, R. Ragel

{"title":"Wikidata based Location Entity Linking","authors":"Fathima Shanaz, R. Ragel","doi":"10.1145/3384544.3384592","DOIUrl":"https://doi.org/10.1145/3384544.3384592","url":null,"abstract":"Online news reading has become general among people and suggesting relevant news articles to readers is a non-trivial task. News recommender systems (NRS) are built to provide appropriate stories to readers based on their interest. News articles usually contain mentions of persons, locations and other named entities which are excellent resources for making sense of readers' news interest. However, entity mentions are often ambiguous. It can make readers retrieve stories that are not relevant to them, impacting the performance of NRS. Entity linking (EL) is a task to extract mentions in documents, and then link them to their corresponding entities in a knowledge base (KB). This task is challenging due to name variations, high ambiguity of entity mentions and incompleteness of the KB. Several approaches have been proposed to tackle these challenges. However, current systems do not focus on improving the performance of EL on location entity mentions which are identified as far more informative entities in news article for user interest profiling. The goal of this paper is to present the design of location entity linking algorithms based on Wikidata KB. We propose new approaches to candidate entity generation and candidate entity ranking of the location EL task. We extensively evaluate the performance of our EL algorithms over a manually annotated AIDA-CoNLL testb news corpus. Experimental results show that our location EL method achieves top-1 precision of 95.58% which is much higher than the state-of-the-art results obtained on the same dataset by collective EL methods.","PeriodicalId":200246,"journal":{"name":"Proceedings of the 2020 9th International Conference on Software and Computer Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130723486","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 Framework for Automated Reengineering of BPMN Models by Excluding Inefficient Activities 排除低效率活动的BPMN模型自动再造框架

Proceedings of the 2020 9th International Conference on Software and Computer Applications Pub Date : 2020-02-18 DOI: 10.1145/3384544.3384549

Rimsha Khan, F. Azam, B. Maqbool, Muhammad Waseem Anwar

{"title":"A Framework for Automated Reengineering of BPMN Models by Excluding Inefficient Activities","authors":"Rimsha Khan, F. Azam, B. Maqbool, Muhammad Waseem Anwar","doi":"10.1145/3384544.3384549","DOIUrl":"https://doi.org/10.1145/3384544.3384549","url":null,"abstract":"Business Process Reengineering (BPR), originally floated in the early 1990s, is gaining importance in industry and academia. BPR helps the organization rethink their work rationally by redesigning their current processes and resource consumption. Due to the high rate of software evolution, there is a need to run legacy systems on a new computing platform. BPMN models are subject to erroneous or unnecessary activities that are taking too many resources. Such process models are leading to additional cost and effort. Re-engineering help in improving the legacy system or in this context a set of legacy processes to perform better than before. This work presents a framework for automatic reengineering of a BPMN by identifying activities that are taking too much time and resources but are insignificant to the business process. An extensive literature review has led to the extraction of three important parameters based on which the business process activities can be evaluated as necessary or unnecessary i.e. time, resources and priority of an activity. The proposed model has been validated using a case study on the Claim Management System. This work shall be beneficial for the research community and developers targeting construction of a BPR tool","PeriodicalId":200246,"journal":{"name":"Proceedings of the 2020 9th International Conference on Software and Computer Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129923632","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