{"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}
{"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}
{"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}
{"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}
{"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}
{"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}
{"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}
{"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}
{"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}
{"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}