Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering最新文献

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Attention Based LSTM with Multi Tasks Learning for Predictive Process Monitoring 基于多任务学习的LSTM预测过程监控
T. Hnin, Khine Khine Oo
{"title":"Attention Based LSTM with Multi Tasks Learning for Predictive Process Monitoring","authors":"T. Hnin, Khine Khine Oo","doi":"10.18178/wcse.2019.03.028","DOIUrl":"https://doi.org/10.18178/wcse.2019.03.028","url":null,"abstract":"Today, in the artificial intelligence research field, Deep Learning (DL) is one of the fastestgrowing techniques because of the power of learn ing features, that gives a higher level of abstraction of the raw attributes; and related research in Recurrent Neural Networks (RNN) and Long Short -Term Memory Networks (LSTM) have shown exemplary results in neural machine translation, neural image caption generation, NLP and so on. For our research, in order to detect potential problems and to facilitate proactive management, we focus on predictive process monitoring (PPM) as domain area, by predict ing business behaviour from h istorical event logs. Recent research works, LSTM networks have gained attention in PPM and have been proved that they can highly improve prediction accuracy in PPM. According to the literature, we have learned that PPM resembles to an early sequence classificat ion problem in NLP. And, recent trends in DL based NLP, attention mechanism is mostly embedded in neural networks. Inspired by these results, this paper proposes to firstly use Attention Based LSTM with Multi Tasks Learning for PPM.","PeriodicalId":342228,"journal":{"name":"Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126155247","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
Predictive Analytics on High-Dimensional Big Data using Principal Component Regression (PCR) 基于主成分回归的高维大数据预测分析
{"title":"Predictive Analytics on High-Dimensional Big Data using Principal Component Regression (PCR)","authors":"","doi":"10.18178/wcse.2019.03.025","DOIUrl":"https://doi.org/10.18178/wcse.2019.03.025","url":null,"abstract":"","PeriodicalId":342228,"journal":{"name":"Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129679770","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
Research of Ship Autopilot Rudder Based on Deep Belief Network 基于深度信念网络的船舶自动舵研究
Li Shaowei, Wang Sheng-zheng
{"title":"Research of Ship Autopilot Rudder Based on Deep Belief Network","authors":"Li Shaowei, Wang Sheng-zheng","doi":"10.18178/wcse.2019.06.139","DOIUrl":"https://doi.org/10.18178/wcse.2019.06.139","url":null,"abstract":"1 School of Mathematics and Computer Science, Jianghan University, Hubei, China 2 Merchant Marine College, Shanghai Maritime University, Shanghai, China Abstract. In order to improve the control precision of the existing ship autopilot and improve the adaptive capability of the autopilot, an autopilot control algorithm based on the deep confidence network (DBN) is proposed. First of all, using the contrast divergence algorithm and the data recorded in the examination system of the Shanghai Maritime University, the constrained Boltzmann machines (RBMs) that make up each DBN are pre-trained in turn, and the results are used as the depth nerve Network weight of the initial value. On this basis, the back propagation algorithm is used to fine-tune the multi-layer depth structure. The simulation results show that the simulated sailing error between this method and the master captain is only 5.2%.","PeriodicalId":342228,"journal":{"name":"Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127225182","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
Introducing Extended DEMO Construction Model to RPA Application 在RPA应用中引入扩展DEMO构造模型
Xiaohan Tian, J. Iijima
{"title":"Introducing Extended DEMO Construction Model to RPA Application","authors":"Xiaohan Tian, J. Iijima","doi":"10.18178/wcse.2019.06.132","DOIUrl":"https://doi.org/10.18178/wcse.2019.06.132","url":null,"abstract":"","PeriodicalId":342228,"journal":{"name":"Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130696239","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
Abnormal Detection of User Behavior in Online Banking 网上银行用户行为异常检测
{"title":"Abnormal Detection of User Behavior in Online Banking","authors":"","doi":"10.18178/wcse.2019.06.082","DOIUrl":"https://doi.org/10.18178/wcse.2019.06.082","url":null,"abstract":"","PeriodicalId":342228,"journal":{"name":"Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering","volume":"39 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130995816","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
Analysis and Calculation for Sound Transmission Loss of Aircraft Fuselage Interior Panel 飞机机身内面板传声损失分析与计算
{"title":"Analysis and Calculation for Sound Transmission Loss of Aircraft Fuselage Interior Panel","authors":"","doi":"10.18178/wcse.2019.06.147","DOIUrl":"https://doi.org/10.18178/wcse.2019.06.147","url":null,"abstract":"","PeriodicalId":342228,"journal":{"name":"Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering","volume":"34 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120892360","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
Publishing Correlated Social network Data with Differential Privacy 发布具有差异隐私的相关社交网络数据
{"title":"Publishing Correlated Social network Data with Differential Privacy","authors":"","doi":"10.18178/wcse.2019.06.114","DOIUrl":"https://doi.org/10.18178/wcse.2019.06.114","url":null,"abstract":"","PeriodicalId":342228,"journal":{"name":"Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering","volume":"171 5-6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120909558","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
Sequential Recommendation with Recurrent Convolutional Model 基于循环卷积模型的顺序推荐
Shiyu Peng, Jiaxing Song, Weidong Liu
{"title":"Sequential Recommendation with Recurrent Convolutional Model","authors":"Shiyu Peng, Jiaxing Song, Weidong Liu","doi":"10.18178/wcse.2019.06.013","DOIUrl":"https://doi.org/10.18178/wcse.2019.06.013","url":null,"abstract":"Personalized sequential recommendation refers to making recommendation based on users’ historical consumption behaviors. Most works based on RNN only model long-term patterns, which fail to capture skip behaviors. Contrarily, the CNN-based model whose target is to handle this problem can only leverage part of sequential behaviors and ignores global patterns, which limits its performance. In this paper, we propose a Recurrent Convolutional Recommendation Model (RCRM) to simultaneously catch global and local patterns. Specifically, we employ a recurrent layer to capture global patterns and a convolutional layer to extract local patterns. An attention mechanism is then introduced to generate the final attentive local pattern, which can further concatenate with global patterns to predict next item. We conduct extensive experiments on two benchmark datasets and the results demonstrate that RCRM outperforms state-of-the-art baselines by a large margin over a variety of common evaluation metrics.","PeriodicalId":342228,"journal":{"name":"Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116729546","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
Trust Recommendation System in Online Shopping Using Text Mining 基于文本挖掘的网上购物信任推荐系统
{"title":"Trust Recommendation System in Online Shopping Using Text Mining","authors":"","doi":"10.18178/wcse.2019.03.019","DOIUrl":"https://doi.org/10.18178/wcse.2019.03.019","url":null,"abstract":"","PeriodicalId":342228,"journal":{"name":"Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125621882","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
Particle Velocity Measurement of Pulverized Coal flow on a Power Plant Using Electrostatic Sensor Array 利用静电传感器阵列测量电厂煤粉流颗粒速度
{"title":"Particle Velocity Measurement of Pulverized Coal flow on a Power Plant Using Electrostatic Sensor Array","authors":"","doi":"10.18178/wcse.2019.06.136","DOIUrl":"https://doi.org/10.18178/wcse.2019.06.136","url":null,"abstract":"","PeriodicalId":342228,"journal":{"name":"Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125079885","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
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