Proceedings of the 2019 8th International Conference on Software and Computer Applications最新文献_第3页

An Ensemble Filter Feature Selection Method and Outlier Detection Method for Multiclass Classification 多类分类的集成滤波特征选择方法和离群点检测方法

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3318223

Dalton Ndirangu, W. Mwangi, L. Nderu

{"title":"An Ensemble Filter Feature Selection Method and Outlier Detection Method for Multiclass Classification","authors":"Dalton Ndirangu, W. Mwangi, L. Nderu","doi":"10.1145/3316615.3318223","DOIUrl":"https://doi.org/10.1145/3316615.3318223","url":null,"abstract":"Feature selection methods facilitate removal of irrelevant attributes. Ineffective features may contain outliers that degrade performance of classifiers. We propose an ensemble filter base feature selection technique for multiclass classification. The technique combines results of four selection methods to create an ensemble list. The study uses a red wine dataset drawn from UC Irvine machine learning data repository and WEKA, a collection of machine learning algorithms for data mining tasks. The multiclass red wine dataset is binarized using WekaMulticlassClassifier utilizing the 1against 1 with pairwise coupling decomposing scheme. Using random forest algorithm and root mean square error values, a learning curve is generated that establishes an optimal ensemble sub-list. Outliers are detected using the Tukey statistical method. The proposed ensemble method outperformed the single feature methods. The study concludes by showing that unnecessary features and presence of outliers degrades classifiers performance. We recommend further studies on the effect of gradual selective removal of outliers on classification.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123782559","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

Multi-Attention Network for Aspect Sentiment Analysis 面向方面情感分析的多注意网络

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316673

Huiyu Han, Xiaoge Li, Shuting Zhi, Haoyue Wang

引用次数: 8

Towards Efficient Implementation of Realizability Checking for Reactive System Specifications 面向响应式系统规范可实现性检验的有效实现

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316634

Masaya Shimakawa, Atsushi Ueno, Shohei Mochizuki, Takashi Tomita, Shigeki Hagihara, N. Yonezaki

引用次数: 1

Privacy Enhancement for Delivery Route Optimization through Occupancy Prediction 利用占用率预测优化配送路线的隐私增强

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316625

Shimpei Ohsugi, Kenji Tanaka, N. Koshizuka

{"title":"Privacy Enhancement for Delivery Route Optimization through Occupancy Prediction","authors":"Shimpei Ohsugi, Kenji Tanaka, N. Koshizuka","doi":"10.1145/3316615.3316625","DOIUrl":"https://doi.org/10.1145/3316615.3316625","url":null,"abstract":"Delivery route optimization for logistic industry is one of applications proposed on smart meter infrastructure. It's expected to drastically reduce absent-delivery which amounts to 20% of total delivery in Japan, which estimated to save $billions a year. But as previous works pointed out, the concern on user privacy is the biggest hurdle yet to be addressed. In this research, we proposed a new approach to improve user privacy by converting electricity data into route data and optimize it before providing to service provider. Then, we tested pragmatic privacy improvement and route optimization through actual delivery experiment. Results showed that the information leakage rate (# of absence detection per delivery) decreased from 23% to 4% by this system and decreased to 2% with additional operational change. Also, the experiment validated decrease of absent-delivery rate from 23% to 2% and travel distance by 5% while improving privacy. Applying adequate method to \"delivery optimization through occupancy prediction\" enabled achieving both user privacy and absent-delivery reduction significantly.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133298985","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

Adoption Issues in DevOps from the Perspective of Continuous Delivery Pipeline 从持续交付管道的角度看DevOps的采用问题

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316619

M. Toh, S. Sahibuddin, M. N. Mahrin

引用次数: 19

A User Attribute Recommendation Algorithm and Peer3D Technology based WebVR P2P Transmission Scheme 基于用户属性推荐算法和Peer3D技术的WebVR P2P传输方案

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316726

Huijuan Zhang, Lei Qiao, Dongqing Wang

引用次数: 0

Reinforcing the Decision-making Process in Chemometrics: Feature Selection and Algorithm Optimization 强化化学计量学中的决策过程:特征选择与算法优化

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316644

Samer Muthana Sarsam

{"title":"Reinforcing the Decision-making Process in Chemometrics: Feature Selection and Algorithm Optimization","authors":"Samer Muthana Sarsam","doi":"10.1145/3316615.3316644","DOIUrl":"https://doi.org/10.1145/3316615.3316644","url":null,"abstract":"With the development of society, applying data mining schemes in the chemometrics discipline is increasing rapidly which makes this field very popular. However, machine learning algorithms face challenges in selecting best algorithm's parameters as well as selecting the features of the data that affect the decision-making process. Limited studies have in-depth explored ways of enhancing decision support systems in the chemometrics domain. Therefore, this study aims at reinforcing the decision-making process through proposing a robust approach: \"feature selection\" and \"algorithm optimization\" in conjunction with \"cross-validation\". Precisely, stratified tenfold cross-validation method was utilized to evaluate the parameter selection of both Multilayer perceptron and Partial least-squares regression algorithms, from the one hand, and to select the best prediction features, from the other hand. Results exhibited that Multilayer perceptron model overperformed partial least-squares regression model. This confirms that Multilayer perceptron can be efficiently used in the chemometrics discipline. Our result also listed the selected feature for the utilized data. Consequently, current study opens the door for enhancing the industry, generally, and the chemometrics-related manufacturing, especially. It also sheds some light on the significance of adopting cross-validation for model selection and parameter optimization in the chemometrics domain for improving the quality of the decision-making process.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123383522","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: 10

DC programming and DCA for Secure Guarantee with Null Space Beamforming in Two-Way Relay Networks 双向中继网络中零空间波束形成安全保障的DC编程和DCA

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316687

N. T. Duy, Tran Thi Thuy, Luong Thuy Chung, Ngo Tung Son, Tran Van Dinh

引用次数: 1

Research on Domain Ontology Automation Construction Based on Chinese Texts 基于中文文本的领域本体自动化构建研究

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316685

Bo Wang, Junwei Luo, Shuyuan Zhu

引用次数: 3

Verifying Cloud Application for the Interaction Correctness Using SoaML and SPIN 使用SoaML和SPIN验证云应用程序的交互正确性

Proceedings of the 2019 8th International Conference on Software and Computer Applications Pub Date : 2019-02-19 DOI: 10.1145/3316615.3316714

Chunling Hu, Guoqing Geng, Bixin Li, Chao Tang, Xiaofeng Wang

引用次数: 2