Proceedings of the 2019 International Conference on Data Mining and Machine Learning最新文献_第2页

Gene clustering, enrichment and survival analysis of differentially expressed genes in Low Grade Glioma between different genders by big data analysis 大数据分析低分级胶质瘤不同性别差异表达基因聚类、富集及生存分析

Proceedings of the 2019 International Conference on Data Mining and Machine Learning Pub Date : 2019-04-28 DOI: 10.1145/3335656.3335699

Jianzhi Deng, Xiaohui Cheng, Yuehan Zhou

引用次数: 9

Innovation of Data Mining & Screening System under Big Data: Take a case as NIMBY 大数据下的数据挖掘与筛选系统创新——以邻避为例

Proceedings of the 2019 International Conference on Data Mining and Machine Learning Pub Date : 2019-04-28 DOI: 10.1145/3335656.3335688

Minxuan Li

引用次数: 0

Research on Interface Design of Air Conditioning Intelligent APP Based on User Experience 基于用户体验的空调智能APP界面设计研究

Proceedings of the 2019 International Conference on Data Mining and Machine Learning Pub Date : 2019-04-28 DOI: 10.1145/3335656.3335685

Ruifang Zhang, Yangxue Liu

引用次数: 2

Research on Internet of Vehicles Gateway based on RTSJ 基于RTSJ的车联网网关研究

Proceedings of the 2019 International Conference on Data Mining and Machine Learning Pub Date : 2019-04-28 DOI: 10.1145/3335656.3335705

Teng Haikun, Liu Xinsheng, Li Lunbin

{"title":"Research on Internet of Vehicles Gateway based on RTSJ","authors":"Teng Haikun, Liu Xinsheng, Li Lunbin","doi":"10.1145/3335656.3335705","DOIUrl":"https://doi.org/10.1145/3335656.3335705","url":null,"abstract":"In order to promote the integration of automobile network and Internet, Internet of Vehicles gateway plays an important role in connecting vehicle-borne network and Internet. In view of the current developers using traditional development methods to achieve Internet of Vehicles gateway software, a new implementation scheme -- real-time Java technology is introduced. This paper takes the AMD Opteron 1150 processor based on the ARM Cortex-A57 architecture as the core to build the hardware platform of the Internet of Vehicles gateway, and gives the overall structure diagram and hardware connection scheme of the Internet of Vehicles system. The gateway adopts the networking scheme of \"4G+ sensor network technology/field bus\" and realizes wireless data interaction on the basis of real-time operating system. In addition, the data communication of Internet of Vehicles (three-layer communication structure) is realized on the WebSphere Real Time development platform that is fully compatible with RTSJ, so as to realize data sharing between the automobile bus network and the Internet. Finally, the implementation technology and system verification of the design are given.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121259263","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

Speech Recognition Model Based on Deep Learning And Application in Pronunciation Quality Evaluation System 基于深度学习的语音识别模型及其在语音质量评价系统中的应用

Proceedings of the 2019 International Conference on Data Mining and Machine Learning Pub Date : 2019-04-28 DOI: 10.1145/3335656.3335657

Teng Haikun, W. Shiying, Liu Xinsheng, Xiaodong Yue

{"title":"Speech Recognition Model Based on Deep Learning And Application in Pronunciation Quality Evaluation System","authors":"Teng Haikun, W. Shiying, Liu Xinsheng, Xiaodong Yue","doi":"10.1145/3335656.3335657","DOIUrl":"https://doi.org/10.1145/3335656.3335657","url":null,"abstract":"In order to improve the performance of the speech recognition and pronunciation quality evaluation system, the deep learning-based computer aided foreign language pronunciation evaluation and learning system has become a research focus of current artificial intelligence technology. Combining with the current advanced voice information technology theory, based on the previous research results, proposed to sparse since the encoder deep learning neural network is applied to speech recognition, using sparse automatic encoder based on MFCC features in-depth study, the imitation of the auditory nerve sparse touches the depth of feature extracting signal, beneficial to the improvement of the HMM model for speech recognition accuracy, meet the needs of the current computer assisted English teaching. The simulation results show that the recognition rate of the deep learning neural network is obviously superior to that of the traditional speech recognition algorithm, which realizes more accurate human-computer interaction and improves the reliability of the evaluation of the quality of foreign language pronunciation.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132079894","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

Machine Learning Methods for Estimating the Excitation Point on a Plucked String of a Classical Guitar 估计古典吉他拨弦激励点的机器学习方法

Proceedings of the 2019 International Conference on Data Mining and Machine Learning Pub Date : 2019-04-28 DOI: 10.1145/3335656.3335683

Carl Timothy Tolentino, F. Panganiban, F. D. de Leon

引用次数: 1

Research on Insulator Creepage Distance Measurement Based on Different Photographic Equipment 基于不同摄影设备的绝缘子爬电距离测量研究

Proceedings of the 2019 International Conference on Data Mining and Machine Learning Pub Date : 2019-04-28 DOI: 10.1145/3335656.3335702

Hanmin Ye, Ziyi Zhong, ShiMing Huang

引用次数: 0

Emotion Analysis of Tourists Based on Domain Ontology 基于领域本体的游客情感分析

Proceedings of the 2019 International Conference on Data Mining and Machine Learning Pub Date : 2019-04-28 DOI: 10.1145/3335656.3335701

Jiabin Pan, Naixia Mou, Wenbao Liu

{"title":"Emotion Analysis of Tourists Based on Domain Ontology","authors":"Jiabin Pan, Naixia Mou, Wenbao Liu","doi":"10.1145/3335656.3335701","DOIUrl":"https://doi.org/10.1145/3335656.3335701","url":null,"abstract":"The big data of tourism has exploded with the rapid development of social media, providing a new data source for the emotion analysis of tourism. Based on online comments, this paper proposes an emotion analysis model that combines tourism domain ontology and semantic-based method to mine the fine-grained emotion of tourists and designs specific formulas to quantify the emotion of tourists. Finally, the Palace Museum is used as an example to verify the validity of the model. The analysis results show that: 1) Tourists pay more attention to the attributes such as \"scenery\", \"tourist flow\", \"ticket\", etc. in their travel activities. 2) The emotional score of the attributes such as \"lodging environment\", \"scenery\", \"culture\", \"environment quality\", etc. are higher, but the attributes such as \"safety\", \"tourist flow\", \"toilet\" and cost-related attributes are lower. The main reasons are: \"low security\", \"massive tourists\", \"less and small toilets\" and \"high costs\". 3) Due to the excessive number of tourists during the holiday, which leads poor travel experience to the tourists, the emotional score of tourists are lower in the 5th, 7th, 8th and 10th months. The analysis results can provide reference for tourists' travel decisions and the development and optimization of tourism.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131657755","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

The Simulation and Research of Fire Spread Situation Based on OSG 基于OSG的火灾蔓延情况模拟与研究

Proceedings of the 2019 International Conference on Data Mining and Machine Learning Pub Date : 2019-04-28 DOI: 10.1145/3335656.3335703

X. Xie, Jianwei Wang, Han Qin, Xiaochun Cheng

引用次数: 0

Cloud computing resource scheduling based on improved differential evolution ant colony algorithm 基于改进差分进化蚁群算法的云计算资源调度

Proceedings of the 2019 International Conference on Data Mining and Machine Learning Pub Date : 2019-04-28 DOI: 10.1145/3335656.3335706

X. Xie, Ke Xu, Xiangwei Wang

引用次数: 8