搜索页_Real-time+data+mining

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在“Elsevier电子期刊”中，命中：1,555条，耗时：0.1759123 秒

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1.ViSiBiD: A learning model for early discovery and real-time prediction of severe clinical events using vital signs as big data

作者：Abdur Rahim Mohammad Forkan ; ^a ; ^b ; ^{abdur.forkan@rmit.edu.au} ; ^{s3361322@student.rmit.edu.au}Author Vitae ; Ibrahim Khalil^a ; ^b ; ^{ibrahim.khalil@rmit.edu.au}Author Vitae ; Mohammed Atiquzzaman^c ; ^atiq@ou.eduAuthor Vitae

关键词：Big data ; Vital sign ; Cloud computing ; Correlations ; Knowledge discovery ; Data mining

刊名：Computer Networks

出版年：2017

2.Reality mining: A prediction algorithm for disease dynamics based on mobile big data

作者：Yuanfang Chen ; ^a ; ^c ; ^{yuanfang.chen.2009@ieee.org" class="auth_mail" title="E-mail the corresponding author} ; ^{yuanfang.chen.tina@outlook.com" class="auth_mail" title="E-mail the corresponding author} ; Noel Crespi^a ; ^{noel.crespi@mines-telecom.fr" class="auth_mail" title="E-mail the corresponding author} ; Antonio M. Ortiz^b ; ^{antonio.ortiz@montimage.com" class="auth_mail" title="E-mail the corresponding author} ; Lei Shu^c ; ^{lei.shu@ieee.org" class="auth_mail" title="E-mail the corresponding author}

关键词：Reality mining ; Disease dynamics ; Prediction algorithm ; Mobile big data

刊名：Information Sciences

出版年：2017

3.Data mining methods for knowledge discovery in multi-objective optimization: Part B - New developments and applications

作者：Sunith Bandaru ; ^a ; ^{sunith.bandaru@his.se" class="auth_mail" title="E-mail the corresponding author} ; ^{sunith.bandaru@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Amos H.C. Ng^a ; ^{amos.ng@his.se" class="auth_mail" title="E-mail the corresponding author} ; Kalyanmoy Deb^b ; ^{kdeb@egr.msu.edu" class="auth_mail" title="E-mail the corresponding author}

关键词：Data mining ; Knowledge discovery ; Multi-objective optimization ; Discrete variables ; Production systems ; Flexible pattern mining

刊名：Expert Systems with Applications

出版年：2017

4.Object-to-group probabilistic distance measure for uncertain data classification

作者：Behnam Tavakkol ^{behnam.tavakkol@rutgers.edu}Author Vitae ; Myong Kee Jeong ; ^{mjeong@rci.rutgers.edu} ; ^{mjeong@soe.rutgers.edu}Author Vitae ; Susan L. Albin ^{salbin@rci.rutgers.edu}Author Vitae

关键词：Data mining ; Uncertain data ; Classification ; Probabilistic distance measures

刊名：Neurocomputing

出版年：2017

5.An efficient data processing framework for mining the massive trajectory of moving objects

作者：Yuanchun Zhou^a ; ¹ ; Yang Zhang^a ; ¹ ; Yong Ge^b ; Zhenghua Xue^a ; Yanjie Fu^c ; Danhuai Guo^a ; Jing Shao^a ; Tiangang Zhu^a ; Xuezhi Wang^a ; Jianhui Li^a ; ^lijh@cnic.cn

关键词：Big data ; Trajectory of moving object ; Compression contribution model ; Parallel linear referencing ; Two step consistent hashing

刊名：Computers, Environment and Urban Systems

出版年：2017

6.Identifying services for short-term load forecasting using data driven models in a Smart City platform

作者：Joaquim Massana ; ^{joaquim.massana@udg.edu} ; Carles Pous ^{carles.pous@udg.edu} ; Llorenç ; Burgas ^{llorenc.burgas@udg.edu} ; Joaquim Melendez ^{joaquim.melendez@udg.edu} ; Joan Colomer ^{joan.colomer@udg.edu}

关键词：Short-term load forecasting ; Data mining ; Services ; Building ; Smart City architecture

刊名：Sustainable Cities and Society

出版年：2017

7.Matrix-based dynamic updating rough fuzzy approximations for data mining

作者：Yanyong Huang^a ; ^{yyhswjtu@163.com} ; Tianrui Li ; ^a ; ^{trli@swjtu.edu.cn} ; Chuan Luo^b ; ^{cluo@scu.edu.cn} ; Hamido Fujita^c ; ^{HFujita-799@acm.org} ; Shi-jinn Horng^a ; ^{horngsj@yahoo.com.tw}

关键词：Rough fuzzy set ; Incremental learning ; Matrix ; Rough approximations

刊名：Knowledge-Based Systems

出版年：2017

8.Forecasting smog-related health hazard based on social media and physical sensor

作者：Jiaoyan Chen^a ; Huajun Chen^a ; ^{huajunsir@zju.edu.cn} ; Zhaohui Wu^a ; Daning Hu^b ; Jeff Z. Pan^c

关键词：Smog disaster ; Health hazard ; Social media ; Urban data ; Forecasting ; Data mining

刊名：Information Systems

出版年：2017

9.Conditional discriminative pattern mining: Concepts and algorithms

作者：Zengyou He^a ; ^b ; Feiyang Gu^a ; Can Zhao^a ; Xiaoqing Liu^a ; Jun Wu^c ; Ju Wang ; ^d ; ^{wangju@uestc.edu.cn" class="auth_mail" title="E-mail the corresponding author}

关键词：Discriminative pattern ; Emerging pattern ; Contrast sets ; Subgroup discovery ; Data mining

刊名：Information Sciences

出版年：2017

10.Scalable and adaptive collaborative filtering by mining frequent item co-occurrences in a user feedback stream

作者：A. Murat Yagci^a ; ^{murat.yagci@boun.edu.tr} ; Tevfik Aytekin^b ; Fikret S. Gurgen^a

关键词：Collaborative filtering ; Recommender systems ; Data stream mining ; Real-time intelligent systems ; Nearest neighbor search

刊名：Engineering Applications of Artificial Intelligence

出版年：2017

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