WIT120 data mining technology based on internet of things

被引：0
|
作者：
Qingyuan Zhou
Zongming Zhang
Yuancong Wang
机构：
[1] Changzhou Vocational Institute of Mechatronic Technology,School of Economics and Management
[2] Changzhou Vocational Institute of Mechatronic Technology,Changzhou Key Laboratory of Industrial Internet and Data Intelligence
[3] Changzhou Vocational Institute of Mechatronic Technology,Changzhou Electronic Commerce Research Institute
[4] Xidian University,School of Economics and Management
[5] The University of Texas at Dallas,Naveen Jindal School of Management
[6] Sichuan University,School of Public Administration
来源：
Health Care Management Science | 2020年 / 23卷
关键词：
Data mining; MapReduce; Solf-evolving; K-means;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In recent years, with the increasing aging of society, the number of patients with chronic heart disease, hypertension and diabetes has increased dramatically. It has guiding significance for the prevention and treatment by long-term monitoring of the physiological signs of patients with chronic diseases, scoring statistical data, and predicting the development trend of users’ health. The work used the data collected by WIT120 system to analyze the pre-processed thick data based on adaptive k-means clustering method under the MapReduce framework, and the GM (1,1) grey model was used to predict the future health status of users. The simulation results have verified the effectiveness of the proposed algorithm.
引用
下载
收藏
页码：680 / 688
页数：8
相关论文
共 50 条
  • [1] WIT120 data mining technology based on internet of things
    Zhou, Qingyuan
    Zhang, Zongming
    Wang, Yuancong
    HEALTH CARE MANAGEMENT SCIENCE, 2020, 23 (04) : 680 - 688
  • [2] Research on the application of data mining technology in Internet of things
    Wang, Rui
    Wang, Jinguo
    Wang, Na
    PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ENGINEERING AND ADVANCED TECHNOLOGY, 2016, 82 : 384 - 387
  • [3] INTERNET OF THINGS EDGE DATA MINING TECHNOLOGY BASED ON CLOUD COMPUTING MODEL
    Hu, Ning
    International Journal of Innovative Computing, Information and Control, 2024, 20 (06): : 1749 - 1763
  • [4] Dig Data Mining Based on the Internet of Things
    Wang, X. X.
    Wang, R. H.
    INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENVIRONMENTAL ENGINEERING (CSEE 2015), 2015, : 637 - 641
  • [5] Research on Big Data Mining Application of Internet of Things Based on Artificial Intelligence Technology
    Han, Zihao
    2022 INTERNATIONAL CONFERENCE ON COMPUTING, ROBOTICS AND SYSTEM SCIENCES, ICRSS, 2022, : 74 - 77
  • [6] Distributed Data Mining Based on Actors for Internet of Things
    Kholod, Ivan
    Kuprianov, Mikhail
    Petukhov, Ilya
    2016 5TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO), 2016, : 480 - 484
  • [7] Design of College English Process Evaluation System Based on Data Mining Technology and Internet of Things
    Lou, Hongli
    INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING, 2020, 16 (02) : 18 - 33
  • [8] Data Mining for Internet of Things: A Survey
    Tsai, Chun-Wei
    Lai, Chin-Feng
    Chiang, Ming-Chao
    Yang, Laurence T.
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2014, 16 (01): : 77 - 97
  • [9] The Research of Data Mining Technology of Privacy Preserving in Sharing Platform of Internet of Things
    Chen, Luyu
    Ren, Guangwei
    INTERNET OF THINGS-BK, 2012, 312 : 481 - 485
  • [10] Heterogeneous bio technology data mining algorithm of Internet of things based on Spark artificial intelligence architecture
    Bing C.
    Ting Z.
    Journal of Commercial Biotechnology, 2021, 26 (04) : 130 - 138
12345