2018 International Conference on Machine Learning and Cybernetics (ICMLC)最新文献_第5页

Predicting Tourists’ Behavior Of Virtual Museum Using Support Vector Machine With Feature Selection Technique 基于特征选择支持向量机的虚拟博物馆游客行为预测

2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8526959

Krit Sriporn, Cheng-Fa Tsai

引用次数: 7

Measuring Pairwise Similarity of Tandem Mass Spectra Using Pair Hidden Markov Model 利用对隐马尔可夫模型测量串联质谱的两两相似性

2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8527013

S. Ryu

引用次数: 0

Ecg Based Identification Under Different Physical Status 基于心电的不同身体状态识别

2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8527005

Gang Zheng, Hong-Yuan Zhang, Shengzhen Ji

{"title":"Ecg Based Identification Under Different Physical Status","authors":"Gang Zheng, Hong-Yuan Zhang, Shengzhen Ji","doi":"10.1109/ICMLC.2018.8527005","DOIUrl":"https://doi.org/10.1109/ICMLC.2018.8527005","url":null,"abstract":"Relatively stable feature of Electrocardiogram (ECG) waveform in ECG based identification authentication is an important issue to be discovered in biometric. It can benefit the biomaterial which is weak and easy to be affected when it is collected under different physical status. From the paper, it was found that P waveform was stable when several ECG waveforms were overlapped under Matthew Effect rule, therefore P waveform period could be more dependent than other part of ECG waveform in identity. And this result was used in the following experiments. The experiments in the paper were designed to study whether ECG based identification was affected by the status of ECG signal collecting. The status contained four status pairs, that was, emotion status (calm, high pressure), eating (starve, satition), sleeping (full, lack) and health (healthy, tired/cold). From the result, Negative emotion and lacking sleeping reduced TPR slightly (about 2–3%), but there was no effect on both eating and health pair status. However, if we used ECG data mixed with all four statuses, the overall True Positive Rate (TPR) of identification reached around 85%.","PeriodicalId":309312,"journal":{"name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129304395","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

An Improved Object Detection Method Based On Deep Convolution Neural Network For Smoke Detection 一种改进的基于深度卷积神经网络的烟雾检测方法

2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8527037

Junying Zeng, Zuoyong Lin, Chuan-Da Qi, Xiaoxiao Zhao, Fan Wang

引用次数: 13

Identification of Attracting Attention In Thai Handicraft Products Using Self-Organizing Map 利用自组织地图识别泰国手工艺品的吸引力

2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8526975

Natinai Jinsakul, Cheng-Fa Tsai

引用次数: 0

A Two-Step Choice Privacy-Preservation Method for Check-in Data Publishing 签入数据发布的两步选择隐私保护方法

2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8527034

Yang Zhao, Jianmin Han, Jianfeng Lu, Hao Peng, Zhaolong Hu, Lixia Wang

{"title":"A Two-Step Choice Privacy-Preservation Method for Check-in Data Publishing","authors":"Yang Zhao, Jianmin Han, Jianfeng Lu, Hao Peng, Zhaolong Hu, Lixia Wang","doi":"10.1109/ICMLC.2018.8527034","DOIUrl":"https://doi.org/10.1109/ICMLC.2018.8527034","url":null,"abstract":"Check-in data play an increasingly important role in mining users’ behavioral patterns and personalized recommendation etc. However, check-in data abuse also rises users’ concern about their privacy. Obfuscating one’s check-in data to another’s is an effective method. Existing approaches focus more on privacy preservation than on data utility. To the end, this paper proposes a two-step choice method. The method first clusters users into several clusters based on users’ check-in data. Then the method chooses a cluster, named substituting cluster, which is the nearest to the cluster which the publishing user belongs to. The cluster which the publishing user belongs to is named original cluster. The substituting cluster and the original cluster should satisfy the predefined privacy threshold. The second step is to find a user in substituting cluster, named substituting user, whose check-in data are the most similar to the publishing user. Finally, the method replaces the publishing user check-in data by the substituting user’s. Empirical evaluation shows that the proposed method can not only preserve the user’s privacy effectively, but also preserve higher data utility.","PeriodicalId":309312,"journal":{"name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117251084","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

Onamd: An Online Android Malware Detection Approach Onamd:一个在线Android恶意软件检测方法

2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8526997

Rubata Riasat, Muntaha Sakeena, Abdul Hannan Sadiq, Yong-Ji Wang

{"title":"Onamd: An Online Android Malware Detection Approach","authors":"Rubata Riasat, Muntaha Sakeena, Abdul Hannan Sadiq, Yong-Ji Wang","doi":"10.1109/ICMLC.2018.8526997","DOIUrl":"https://doi.org/10.1109/ICMLC.2018.8526997","url":null,"abstract":"Android mobile phone is one of the most usable smartphone today which makes Android the most anticipated operating system in the market. However, the increase in malware threats with the growth in Android market cannot be neglected. Android is an open source platform which gives full leverage to developers on one side, but also provides an open door to malware. Dynamic analysis provides a comprehensive view of malware detection, but it is still subjective to the high-cost development and manual endeavors in test analysis. In this article, we propose a mechanism based on static and dynamic features for malware detection in Android. We leverage the proposed technique and develop a system, called an online Android Malware Detection Approach ONAMD. Initially, the ONAMD extracts the information (e.g., requested permissions, and basic data info, etc Next, it applies SVM and Random Forest algorithm that enhances the malware modeling capability to classify the application as benign or malicious. We applied our approach to 600 applications. The experimental result shows the efficiency of our approach which takes halftime and better recalls rate than Androguard.","PeriodicalId":309312,"journal":{"name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117281193","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: 9

Knowledge Updating Method Based On Approximate Reduction Under Dominance Relations 优势关系下基于近似约简的知识更新方法

2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8526979

Yan Li, Li Zhang, Tingting Wu, Junfen Chen

引用次数: 0

Predicting Future Visitors Of Restaurants Using Big Data 利用大数据预测未来餐厅的客流量

2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8526963

Xu Ma, Yanshan Tian, Chu Luo, Yuehui Zhang

引用次数: 5

Piece-Wise Kernel Regression for Example-Based Super-Resolution 基于示例的超分辨率分段核回归

2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8527042

Yi Tang, Junhua Chen, Zuo Jiang

引用次数: 1