Time-series clustering – A decade review

Cited by (1,000)

Items 101–200 of 1,000

1. Asymmetric impact of groundwater use on groundwater droughts
   D. Wendt, A. V. van Loon, J. Bloomfield, D. Hannah · 2020 · Hydrology and Earth System Sciences
2. Automatic and Generic Periodicity Adaptation for KPI Anomaly Detection
   Nengwen Zhao, Jing Zhu, Yao Wang, Minghua Ma, Wenchi Zhang, Dapeng Liu, Ming Zhang, Dan Pei · 2019 · IEEE Transactions on Network and Service Management
3. Dynamic Time Warping: Itakura vs Sakoe-Chiba
   Z. Geler, V. Kurbalija, Miriana Ivanovic, Miloš Radovanović, Wei-Hui Dai · 2019 · International Symposium on INnovations in Intelligent SysTems and Applications
4. Intertemporal Similarity of Economic Time Series: An Application of Dynamic Time Warping
   Philip Hans Franses, Thomas Wiemann · 2020 · Computational Economics
5. An improved K-medoids clustering approach based on the crow search algorithm
   Nitesh M. Sureja, Bharat V. Chawda, Avani R. Vasant · 2022 · Journal of Computational Mathematics and Data Science
6. Classification of electric vehicle charging time series with selective clustering
   Chen-Xi Sun, Tongxin Li, S. Low, V. Li · 2020 · Electric power systems research
7. Machine learning‐based energy consumption clustering and forecasting for mixed‐use buildings
   Alvin B. Culaba, Aaron Jules R. Del Rosario, Aristotle T. Ubando, Jo‐Shu Chang · 2020 · International Journal of Energy Research
8. Assessing the coordination between economic growth and urban climate change in China from 2000 to 2015
   Huimin Liu, Bo Huang, Chen Yang · 2020 · The Science of The Total Environment
9. ABBA: adaptive Brownian bridge-based symbolic aggregation of time series
   S. Elsworth, S. Güttel · 2020 · Data mining and knowledge discovery
10. Health care visits during the COVID-19 pandemic: A spatial and temporal analysis of mobile device data
    Jueyu Wang, Noreen McDonald, Abigail L. Cochran, Lindsay Oluyede, Mary K. Wolfe, Lauren Prunkl · 2021 · Health & Place
11. Intervention Fatigue is the Primary Cause of Strong Secondary Waves in the COVID-19 Pandemic
    K. Rypdal, F. Bianchi, M. Rypdal · 2020 · International Journal of Environmental Research and Public Health
12. Multi-source homogeneous data clustering for multi-target detection from cluttered background with misdetection
    Tian-Cheng Li, Fernando De la Prieta Pintado, J. Corchado, Javier Bajo · 2017 · Applied Soft Computing
13. Foundation Models for Time Series: A Survey
    Siva Rama Krishna Kottapalli, Karthik Hubli, Sandeep Chandrashekhara, Garima Jain, Sunayana Hubli, Gayathri Botla, Ramesh Doddaiah · 2025 · arXiv (Cornell University)
14. PyLEnM: A Machine Learning Framework for Long-Term Groundwater Contamination Monitoring Strategies
    Aurelien O Meray, Savannah Sturla, M. Siddiquee, Rebecca Serata, S. Uhlemann, H. Gonzalez-Raymat, M. Denham, Himanshu Upadhyay, Leonel E. Lagos, C. Eddy-Dilek et al. · 2022 · Environmental Science and Technology
15. Characterizing equitable access to grocery stores during disasters using location-based data
    Amir Esmalian, Natalie Coleman, Faxi Yuan, Xin Xiao, A. Mostafavi · 2022 · Scientific Reports
16. Enhanced air quality prediction by edge-based spatiotemporal data preprocessing
    S. Ojagh, Francesco Cauteruccio, G. Terracina, Steve H. L. Liang · 2021 · Computers & electrical engineering
17. MSAC: Towards data driven system behavior classification for TBM tunneling
    Georg H. Erharter, Thomas Marcher · 2020 · Tunnelling and Underground Space Technology
18. An inter-comparison of similarity-based methods for organisation and classification of groundwater hydrographs
    Ezra Haaf, Roland Barthel · 2018 · Journal of Hydrology
19. Diverse seasonal hysteresis of surface urban heat islands across Chinese cities: Patterns and drivers
    Chen Yang, Shuqing Zhao · 2023 · Remote Sensing of Environment
20. SSSNET: Semi-Supervised Signed Network Clustering
    Yixuan He, G. Reinert, Songchao Wang, Mihai Cucuringu · 2021 · SDM
21. Fault diagnosis based on feature clustering of time series data for loss and kick of drilling process
    Zheng Zhang, X. Lai, Min Wu, Luefeng Chen, Cheng-Da Lu, Sheng Du · 2021 · Journal of Process Control
22. An innovative hybrid strategy for structural health monitoring by modal flexibility and clustering methods
    A. Entezami, Hassan Sarmadi, Behzad Saeedi Razavi · 2020 · Journal of Civil Structural Health Monitoring
23. Unsteady pressure patterns discovery from high-frequency sensing in water distribution systems.
    Lu Xing, L. Sela · 2019 · Water Research
24. Time-series clustering approaches for subsurface zonation and hydrofacies detection using a real time-lapse electrical resistivity dataset
    Damien Delforge, Arnaud Watlet, Olivier Kaufmann, Michel Van Camp, Marnik Vanclooster · 2020 · Journal of Applied Geophysics
25. Intensive whole-brain 7T MRI case study of volitional control of brain activity in deep absorptive meditation states
    Winson Fu Zun Yang, Avijit Chowdhury, Marta Bianciardi, Remko van Lutterveld, Terje Sparby, Matthew D. Sacchet · 2023 · Cerebral Cortex
26. Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes
    Sarah Mullin, J. Zola, Robert Lee, Jin-Wei Hu, B. Mackenzie, A. Brickman, G. Anaya, Shyamashree Sinha, Angie Li, P. Elkin · 2021 · Journal of Biomedical Informatics
27. Monarch
    Colin Adams, Luis Alonso, Benjamin Atkin, J. Banning, Sumeer Bhola, Rick Buskens, Ming Chen, Xi Chen, Yoo Chung, Qin Jia et al. · 2020 · Proceedings of the VLDB Endowment
28. A new framework for predicting customer behavior in terms of RFM by considering the temporal aspect based on time series techniques
    Hossein Abbasimehr, M. Shabani · 2020 · Journal of Ambient Intelligence and Humanized Computing
29. Electricity consumption pattern analysis beyond traditional clustering methods: A novel self-adapting semi-supervised clustering method and application case study
    Xiao-Hai Zhang, José Luis Ramírez-Mendiola, Ming-Tao Li, Lie-Jin Guo · 2022 · Applied Energy
30. Machine Learning Techniques for Improving Self-Consumption in Renewable Energy Communities
    Zacharie De Grève, Jérémie Bottieau, David Vangulick, Aurélien Wautier, Pierre-David Dapoz, Adriano Arrigo, Jean‐François Toubeau, François Vallée · 2020 · Energies
31. Time Series Analysis and Modeling to Forecast: a Survey
    Fatoumata Dama, Christine Sinoquet · 2021 · arXiv (Cornell University)
32. Modelling background air pollution exposure in urban environments: Implications for epidemiological research
    Álvaro Gómez-Losada, J. C. Pires, R. Pino-Mejías · 2018 · Environmental Modelling & Software
33. Global Value Chains: Measurement, Trends and Drivers
    Simone Cigna, Vanessa Gunnella, Lucia Quaglietti · 2022 · SSRN Electronic Journal
34. A Data-Driven Pattern Extraction Method for Analyzing Bidding Behaviors in Power Markets
    Hong-Ye Guo, Qixin Chen, Yuxuan Gu, M. Shahidehpour, Q. Xia, C. Kang · 2020 · IEEE Transactions on Smart Grid
35. Global patterns of rebound to normal RSV dynamics following COVID-19 suppression
    D. Thindwa, Ke Li, Dominic Cooper-Wootton, Zhe Zheng, V. Pitzer, Daniel M. Weinberger · 2024 · BMC Infectious Diseases
36. SBD-K-medoids-based long-term settlement analysis of shield tunnel
    Yiming Shen, Dong-Mei Zhang, Ru-Lu Wang, Jia-Ping Li, Zhong-Kai Huang · 2023 · Transportation Geotechnics
37. A Bibliometric Review of Big Data in Finance
    Haitham Nobanee · 2021 · Big Data
38. PHANTOM: Curating GitHub for engineered software projects using time-series clustering
    P. Pickerill, Heiko Joshua Jungen, Mirosław Ochodek, M. Mackowiak, M. Staron · 2019 · Empirical Software Engineering
39. Degradation Pattern Recognition and Features Extrapolation for Battery Capacity Trajectory Prediction
    Jinwen Li, Zhongwei Deng, Yunhong Che, Yiqiang Xie, Xiao-Song Hu, R. Teodorescu · 2024 · IEEE Transactions on Transportation Electrification
40. Ensemble clustering via fusing global and local structure information
    Jiaxuan Xu, Tai-Yong Li, Duzhong Zhang, Jiang Wu · 2023 · Expert systems with applications
41. Analyzing students’ performance in computerized formative assessments to optimize teachers’ test administration decisions using deep learning frameworks
    Jin-Nie Shin, Fu Chen, Chang Lu, Okan Bulut · 2021 · Journal of Computers in Education
42. Pattern of inflammatory immune response determines the clinical course and outcome of COVID-19: unbiased clustering analysis
    Eunyoung Emily Lee, Kyoung‐Ho Song, Woochang Hwang, Sin Young Ham, Hyeonju Jeong, Jeong Han Kim, Hong Sang Oh, Yu Min Kang, Eun Bong Lee, Nam Joong Kim et al. · 2021 · Scientific Reports
43. Elastic similarity and distance measures for multivariate time series
    Ahmed Shifaz, Charlotte Pelletier, François Petitjean, Geoffrey I. Webb · 2023 · Knowledge and Information Systems
44. Building energy performance assessment using volatility change based symbolic transformation and hierarchical clustering
    Zhen-Jun Ma, R. Yan, Ke-Hua Li, N. Nord · 2018
45. A hybrid clustering approach for multivariate time series - A case study applied to failure analysis in a gas turbine.
    C. Fontes, H. Budman · 2017 · ISA transactions
46. A Data-driven Process Recommender Framework
    Sen Yang, Xin Dong, Leilei Sun, Yichen Zhou, Richard A. Farneth, Hui Xiong, R. Burd, I. Marsic · 2017 · Knowledge Discovery and Data Mining
47. PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs
    Yixuan He, Xi-Tong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, G. Reinert · 2022 · LOG IN
48. Working from Home and Digital Divides: Resilience during the Pandemic
    Hannah Budnitz, E. Tranos · 2021 · Annals of the American Association of Geographers
49. Using a distributed air sensor network to investigate the spatiotemporal patterns of PM2.5 concentrations.
    Rong Cao, Bai Li, Zhanyong Wang, Zhong-Ren Peng, Shi-Kang Tao, S. Lou · 2020 · Environmental Pollution
50. Short-Term Traffic Prediction Based on DeepCluster in Large-Scale Road Networks
    Lingyi Han, Kan Zheng, Long Zhao, Xianbin Wang, Xuemin Shen · 2019 · IEEE Transactions on Vehicular Technology
51. Tensor Multi-Elastic Kernel Self-Paced Learning for Time Series Clustering
    Yong-Qiang Tang, Yuan Xie, Xue-Bing Yang, Jing-Hao Niu, Wen-Sheng Zhang · 2019 · IEEE Transactions on Knowledge and Data Engineering
52. Robust fuzzy clustering based on quantile autocovariances
    B. Lafuente-Rego, P. D'Urso, J. A. Vilar · 2018 · Statistical Papers
53. Time-Series Representation and Clustering Approaches for Sharing Bike Usage Mining
    Duo Li, Yi-Fei Zhao, Yan Li · 2019 · IEEE Access
54. Generating synthetic energy time series: A review
    Marian Turowski, Benedikt Heidrich, L. Weingärtner, L. Springer, Kaleb Phipps, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer · 2024 · Renewable and Sustainable Energy Reviews
55. KD-Box: Line-segment-based KD-tree for Interactive Exploration of Large-scale Time-Series Data
    Yueling Zhao, Jian Zhang, Chi-Wing Fu, Mingliang Xu, Dominik Moritz, Yun-Hai Wang · 2021 · IEEE Transactions on Visualization and Computer Graphics
56. Global-scale massive feature extraction from monthly hydroclimatic time series: Statistical characterizations, spatial patterns and hydrological similarity
    Georgia Papacharalampous, Hristos Tyralis, Simon Michael Papalexiou, Andreas Langousis, Sina Khatami, Elena Volpi, Salvatore Grimaldi · 2020 · The Science of The Total Environment
57. Energy paths in the European Union: A model-based clustering approach
    Zsuzsanna Csereklyei, Paul W. Thurner, J. Langer, H. Küchenhoff · 2017 · Energy Economics
58. Evidence fusion-based framework for condition evaluation of complex electromechanical system in process industry
    Hong-Quan Jiang, Rong-Xi Wang, Jian-Min Gao, Zhi-Yong Gao, Xu Gao · 2017 · Knowledge-Based Systems
59. A stock rank prediction method combining industry attributes and price data of stocks
    Huajin Liu, Tianlong Zhao, Suwei Wang, Xuemei Li · 2023 · Information Processing & Management
60. Understanding the land use function of station areas based on spatiotemporal similarity in rail transit ridership: A case study in Shanghai, China
    Hongzan Jiao, Shibiao Huang, Yu Zhou · 2023 · Journal of Transport Geography
61. Time Series Clustering with an EM algorithm for Mixtures of Linear Gaussian State Space Models
    Ryohei Umatani, Takashi Imai, K. Kawamoto, Shutaro Kunimasa · 2022 · Pattern Recognition
62. PR-FCM: A polynomial regression-based fuzzy C-means algorithm for attribute-associated data
    Yong-Lin Pang, Mao-Lin Shi, Li-Yong Zhang, Xue-Guan Song, Wei Sun · 2021 · Information Sciences
63. Contour clustering: A field-data-driven approach for documenting and analysing prototypical f0 contours
    Constantijn Kaland · 2021 · Journal of the International Phonetic Association
64. A novel backtesting methodology for clustering in mean-variance portfolio optimization
    Seda Tolun Tayali · 2020 · Knowledge-Based Systems
65. Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data
    Cheng-Bao Liu, Jie Tan, Heyuan Shi, Xue-Lei Wang · 2018 · IEEE Access
66. Clustering time series by linear dependency
    A. Alonso, D. Peña · 2018 · Statistics and computing
67. Efficient Time Series Clustering by Minimizing Dynamic Time Warping Utilization
    Borui Cai, Guang-Yan Huang, N. Samadiani, Guanghui Li, Chi-Hung Chi · 2021 · IEEE Access
68. The Connections between COVID-19 and the Energy Commodities Prices: Evidence through the Dynamic Time Warping Method
    Krzysztof Dmytrów, Joanna Landmesser, Beata Bieszk‐Stolorz · 2021 · Energies
69. A three level hierarchical architecture for an efficient storage of Industry 4.0 data
    Villalobos, K., Ramírez-Durán, V.J., Diez, B., Blanco, J.M., Goñi, A., Illarramendi, A. · 2020 · Computers in Industry
70. A review of machine learning techniques for building electrical energy consumption prediction
    Yuyao Chen, Wei Gong, C. Obrecht, Frédéric Kuznik · 2025 · Energy and AI
71. New perspectives on temporal changes in occupancy characteristics of residential buildings
    Xin Zhou, Yuxin Lu, Shan Hu, Ziyi Yang, Da Yan · 2022 · Journal of Building Engineering
72. Analysis of the cryptocurrency market using different prototype-based clustering techniques
    Luis Lorenzo, Javier Arroyo · 2022 · Financial Innovation
73. Quantile-based fuzzy clustering of multivariate time series in the frequency domain
    Ángel López-Oriona, J. A. Vilar, P. D'Urso · 2021 · Fuzzy Sets Syst.
74. Multivariate time series clustering and forecasting for building energy analysis: Application to weather data quality control
    Luís Sanhudo, João Rodrigues, Ênio Vasconcelos Filho · 2020 · Journal of Building Engineering
75. An inconsistency assessment method for backup battery packs based on time-series clustering
    Xue-Song Feng, Xiao-Kun Zhang, Y. Xiang · 2020 · Journal of Energy Storage
76. Unsupervised Classification of Multivariate Time Series Using VPCA and Fuzzy Clustering With Spatial Weighted Matrix Distance
    Hong He, Yong-Hong Tan · 2020 · IEEE Transactions on Cybernetics
77. Constrained distance based clustering for time-series: a comparative and experimental study
    Thomas A. Lampert, Thi-Bich-Hanh Dao, Baptiste Lafabrègue, Nicolas Serrette, Germain Forestier, Bruno Crémilleux, Christel Vrain, Pierre Gançarski · 2018 · Data Mining and Knowledge Discovery
78. Optimal Selection of Clustering Algorithm via Multi-Criteria Decision Analysis (MCDA) for Load Profiling Applications
    Ioannis P. Panapakidis, Georgios C. Christoforidis · 2018 · Applied Sciences
79. Exact mean computation in dynamic time warping spaces
    Markus Brill, T. Fluschnik, Vincent Froese, Brijnesh J. Jain, R. Niedermeier, David Schultz · 2017 · Data mining and knowledge discovery
80. Learning Representations for Incomplete Time Series Clustering
    Ma, Qianli, Chen, Chuxin, Li, Sen, Cottrell, Garrison W. · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
81. Interval time series forecasting: A systematic literature review
    Piao Wang, Shahid Hussain Gurmani, Zhifu Tao, Jinpei Liu, Huayou Chen · 2023 · Journal of Forecasting
82. Space–time series clustering: Algorithms, taxonomy, and case study on urban smart cities
    Asma Belhadi, Youcef Djenouri, Kjetil Nørvåg, Heri Ramampiaro, Florent Masséglia, Jerry Chun‐Wei Lin · 2020 · Engineering Applications of Artificial Intelligence
83. Access to credit and agricultural sector performance in Nigeria
    Romanus Anthony Osabohien, A. Mordi, A. Ogundipe · 2020 · African Journal of Science Technology Innovation and Development
84. An ultra-fast time series distance measure to allow data mining in more complex real-world deployments
    Shaghayegh Gharghabi, Shima Imani, Anthony J. Bagnall, Amirali Darvishzadeh, Eamonn Keogh · 2020 · Data Mining and Knowledge Discovery
85. Biclustering data analysis: a comprehensive survey
    Eduardo N. Castanho, Helena Aidos, Sara Cordeiro Madeira · 2024 · Briefings in Bioinformatics
86. Adaptive short-term wind power forecasting with concept drifts
    Yan-Ting Li, Zhenyue Wu, Yan Su · 2023 · Renewable Energy
87. A hybrid machine learning approach for the load prediction in the sustainable transition of district heating networks
    Mustapha Habib, Thomas Ohlson Timoudas, Yiyu Ding, Nataša Nord, Shuqin Chen, Qian Wang · 2023 · Sustainable Cities and Society
88. Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach
    Huang Yun-jie, Xiaozhuang Song, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu · 2023 · IEEE Transactions on Intelligent Transportation Systems
89. Hybrid approach for energy consumption prediction: coupling data-driven and physical approaches
    Kadir Amasyali, N. El-Gohary · 2021 · Energy and Buildings
90. Visual Drift Detection for Event Sequence Data of Business Processes
    A. Yeshchenko, Claudio Di Ciccio, J. Mendling, Artem Polyvyanyy · 2020 · IEEE Transactions on Visualization and Computer Graphics
91. Pattern Recognition in Multivariate Time Series: Towards an Automated Event Detection Method for Smart Manufacturing Systems
    Vadim Kapp, M. May, G. Lanza, T. Wuest · 2020 · Journal of Manufacturing and Materials Processing
92. Topological Data Analysis (TDA) for Time Series
    N. Ravishanker, Renjie Chen · 2019 · arXiv (Cornell University)
93. A new methodology for customer behavior analysis using time series clustering: A case study on a bank's customers
    Hossein Abbasimehr, M. Shabani · 2019 · Kybernetes
94. Discovering patterns of online popularity from time series
    Mert Özer, Anna Sapienza, Andrés Abeliuk, Goran Murić, Emilio Ferrara · 2020 · Expert Systems with Applications
95. Set-based Similarity Search for Time Series
    Jinglin Peng, Hong-Zhi Wang, Jian-Zhong Li, Hong Gao · 2016 · SIGMOD Conference
96. A Survey on Time-Series Distance Measures
    John Paparrizos, Haojun Li, Fan Yang, Kaize Wu, Jens E. d’Hondt, Odysseas Papapetrou · 2024 · arXiv (Cornell University)
97. An accurate slicing method for dynamic time warping algorithm and the segment-level early abandoning optimization
    Yuqi Luo, Wei Ke, Chan–Tong Lam, Sio‐Kei Im · 2024 · Knowledge-Based Systems
98. Load Profile Segmentation for Effective Residential Demand Response Program: Method and Evidence from Korean Pilot Study
    Eunjung Lee, Jinho Kim, Dongsik Jang · 2020 · Energies
99. Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series
    K. Bandara, C. Bergmeir, Slawek Smyl · 2017 · arXiv.org
100. A global exploratory comparison of country self-citations 1996-2019
     Alberto Baccini, Eugenio Petrovich · 2023 · PLoS ONE