Distributed Recognition of Patterns in Time Series Data

被引：0
|
作者：
Morrill, Jeffrey P. [1 ]
机构：
[1] Point and Click Solutions, Inc., Woburn, MA, United States
来源：
Communications of the ACM | / 41卷 / 05期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
9
引用
收藏
相关论文
共 50 条
  • [41] Review on Towards Efficient Mining of Recurrent Patterns in Time Series Data
    Dhale, Shimpli
    Badhiye, Sagar
    2017 INTERNATIONAL CONFERENCE ON INNOVATIVE MECHANISMS FOR INDUSTRY APPLICATIONS (ICIMIA), 2017, : 572 - 575
  • [42] Finding good-quality surprising patterns in time series data
    Department of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China
    Xibei Gongye Daxue Xuebao, 2007, 3 (425-428):
  • [43] Unsupervised Discoveiy of Repetitive Activity Patterns in Acceleration Time Series Data
    Terada M.
    Minakawa T.
    Anzai H.
    Imamura M.
    IEEJ Transactions on Electronics, Information and Systems, 2021, 141 (09): : 1039 - 1047
  • [44] Finding Electric Energy Consumption Patterns in Big Time Series Data
    Perez-Chacon, R.
    Talavera-Llames, R. L.
    Martinez-Alvarez, F.
    Troncoso, A.
    DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, (DCAI 2016), 2016, 474 : 231 - 238
  • [45] A scalable approach to detect Contrasting Consecutive Patterns in time series data
    Tata, Stefano
    Cagliero, Luca
    2022 IEEE 46TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2022), 2022, : 388 - 394
  • [46] Time Series Data Processing for Classifying Wandering Patterns in People With Dementia
    Diaz-Ramirez, Arnoldo
    Miranda-Vega, Jesus E.
    Ramos-Rivera, Daniel
    Andrea Rodriguez, Dalia
    Flores-Fuentes, Wendy
    Sergiyenko, Oleg
    IEEE SENSORS JOURNAL, 2022, 22 (11) : 10196 - 10206
  • [47] An augmented visual query mechanism for finding patterns in time series data
    Keogh, E
    Hochheiser, H
    Shneiderman, B
    FLEXIBLE QUERY ANSWERING SYSTEMS, PROCEEDINGS, 2002, 2522 : 240 - 250
  • [48] A distributed computing system for multivariate time series analyses of multichannel neurophysiological data
    Müller, A
    Osterhage, H
    Sowa, R
    Andrzejak, RG
    Mormann, F
    Lehnertz, K
    JOURNAL OF NEUROSCIENCE METHODS, 2006, 152 (1-2) : 190 - 201
  • [49] Distributed and Scalable Platform for Collaborative Analysis of Massive Time Series Data Sets
    Duarte, Eduardo
    Gomes, Diogo
    Campos, David
    Aguiar, Rui L.
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, TECHNOLOGY AND APPLICATIONS (DATA), 2019, : 41 - 52
  • [50] Detecting outliers in streaming time series data from ARM distributed sensors
    Lu, Yuping
    Kumar, Jitendra
    Collier, Nathan
    Krishna, Bhargavi
    Langston, Michael A.
    2018 18TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW), 2018, : 779 - 786
12345