• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 1,239 matches

• 2025
• 
  Shi Qiang Liu, Erhan Kozan, Mahmoud Masoud, Debiao Li, Kai Luo:
  Multi-stage mine production timetabling with optimising the sizes of mining operations: an application of parallel-machine flow shop scheduling with lot streaming. Ann. Oper. Res. 348(2): 1-27 (2025)
• 
  Cornelius Mutuku Mulevu, George Onyango Okeyo, Joseph Muliaro Wafula:
  Data stream mining techniques for real-time monitoring and control of smart power grids in Kenya: challenges and opportunities. Discov. Internet Things 5(1): 51 (2025)
• 
  Meng Han, Ruihua Zhang, Feifei He, Fanxing Meng, Chunpeng Li:
  An efficient algorithm for high utility sequential pattern mining over data streams based on sliding window model. Intell. Data Anal. 29(3): 673-698 (2025)
• 
  Hua Liao:
  E-commerce Live-Streaming Platform and Decision Support System Based on Fuzzy Association Rule Mining. Int. J. Comput. Intell. Syst. 18(1): 41 (2025)
• 
  Ruihua Zhang, Meng Han, Feifei He, Fanxing Meng, Chunpeng Li:
  Damped sliding based mining of average utility-driven sequential patterns over uncertain data streams. Neurocomputing 647: 130669 (2025)
• 
  Seungwan Park, Taewoong Ryu, Doyoon Kim, Doyoung Kim, Hanju Kim, Myungha Cho, Unil Yun:
  Sliding window-based high utility occupancy pattern mining for data streams. Inf. Sci. 716: 122243 (2025)
• 
  Waruni Hewage, Roopak Sinha, M. Asif Naeem:
  An accuracy-privacy optimization framework considering user's privacy requirements for data stream mining. J. Big Data 12(1): 143 (2025)
• 
  Meng Han, Feifei He, Ruihua Zhang, Chunpeng Li, Fanxing Meng:
  High utility itemset mining in data stream using elephant herding optimization. Knowl. Inf. Syst. 67(3): 2357-2394 (2025)
• 
  John Calvo Martinez, Wayne Wobcke:
  Stream mining with integrity constraint learning for event extraction in evolving data streams. Knowl. Inf. Syst. 67(3): 2595-2618 (2025)
• 
  Jinping Jia, Ge Ji, Bin Zhao, Genlin Ji:
  Mining converging patterns over streaming trajectories of moving objects in road networks. Knowl. Based Syst. 309: 112883 (2025)
• 
  Doyoung Kim, Heonho Kim, Seungwan Park, Hanju Kim, Myungha Cho, Seongbin Park, Taewoong Ryu, Chanhee Lee, Hyeonmo Kim, Unil Yun:
  Efficient mining of incremental high utility patterns with negative unit profits over all the accumulated stream data. Knowl. Based Syst. 325: 113956 (2025)
• 
  Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna:
  Online feature subset selection for mining feature streams in big data via incremental learning and evolutionary computation. Swarm Evol. Comput. 94: 101896 (2025)
• 
  Jun Wang, Bo Tang, Chao Wang, Hai Wang, Lei Xue:
  A Novel Pulse Stream Representation and Affinity Measurement Strategy for Radar Recognition With Distribution Pattern Mining. IEEE Trans. Instrum. Meas. 74: 1-14 (2025)
• 
  Cristiano Mesquita Garcia, Ramon Abílio, Alessandro Lameiras Koerich, Alceu de Souza Britto Jr., Jean Paul Barddal:
  Concept Drift Adaptation in Text Stream Mining Settings: A Systematic Review. ACM Trans. Intell. Syst. Technol. 16(2): 27:1-27:67 (2025)
• 
  Bijay Prasad Jaysawal, Jen-Wei Huang:
  SOHUPDS+: An Efficient One-phase Algorithm for Mining High Utility Patterns over a Data Stream. ACM Trans. Knowl. Discov. Data 19(1): 16:1-16:32 (2025)
• 
  Myungha Cho, Hanju Kim, Yoonji Baek, Seungwan Park, Doyoon Kim, Doyoung Kim, Chanhee Lee, Bay Vo, Witold Pedrycz, Unil Yun:
  Uncertainty-Driven Pattern Mining on Incremental Data for Stream Analyzing Service. IEEE Trans. Serv. Comput. 18(2): 1081-1096 (2025)
• 
  Hanju Kim, Myungha Cho, Hyeonmo Kim, Yoonji Baek, Chanhee Lee, Taewoong Ryu, Heonho Kim, Seungwan Park, Doyoon Kim, Doyoung Kim, Sinyoung Kim, Bay Vo, Jerry Chun-Wei Lin, Witold Pedrycz, Unil Yun:
  Uncertainty Oriented-Incremental Erasable Pattern Mining Over Data Streams. IEEE Trans. Syst. Man Cybern. Syst. 55(2): 1451-1465 (2025)
• 
  Christian Imenkamp, Martin Kabierski, Hendrik Reiter, Matthias Weidlich, Wilhelm Hasselbring, Agnes Koschmider:
  Determining Window Sizes Using Species Estimation for Accurate Process Mining over Streams. CAiSE (1) 2025: 109-124
• 
  Christian Imenkamp, Agnes Koschmider:
  Streaming Process Mining over Realistic Event Streams. EMISA 2025: 9
• 
  Kota Nakamura, Koki Kawabata, Shungo Tanaka, Yasuko Matsubara, Yasushi Sakurai:
  CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems. WWW (Companion Volume) 2025: 1214-1218
• 
  Afonso Lourenço, João Rodrigo, João Gama, Goreti Marreiros:
  DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices. CoRR abs/2502.14011 (2025)
• 
  Kota Nakamura, Koki Kawabata, Shungo Tanaka, Yasuko Matsubara, Yasushi Sakurai:
  CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems. CoRR abs/2503.00871 (2025)
• 2024
• 
  Christian Nordahl:
  Data Stream Mining and Analysis: Clustering Evolving Data. Blekinge Institute of Technology, Sweden, 2024
• 
  Osama A. Mahdi, Nawfal Ali, Eric Pardede, Ammar Alazab, Tahsien Al-Quraishi, Bhagwan Das:
  Roadmap of Concept Drift Adaptation in Data Stream Mining, Years Later. IEEE Access 12: 21129-21146 (2024)
• 
  Fábio César Schuartz, Mauro Fonseca, Anelise Munaretto:
  A distributed platform for intrusion detection system using data stream mining in a big data environment. Ann. des Télécommunications 79(7-8): 507-521 (2024)
• 
  Ling Jian, Kai Shao, Ying Liu, Jundong Li, Xijun Liang:
  OEC: an online ensemble classifier for mining data streams with noisy labels. Data Min. Knowl. Discov. 38(3): 1101-1124 (2024)
• 
  Rafael Gaspar de Sousa, Antonio Carlos Meira Neto, Marcelo Fantinato, Sarajane Marques Peres, Hajo Alexander Reijers:
  Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support. Data Knowl. Eng. 149: 102253 (2024)
• 
  Hanqing Hu, Mehmed M. Kantardzic, Shreyas Kar:
  Explainable data stream mining: Why the new models are better. Intell. Decis. Technol. 18(1): 371-385 (2024)
• 
  Ponna Mahesh Kumar, P. Srinivasa Rao:
  Mining closed high utility itemsets using sliding window infrastructure model over data stream. Int. J. Crit. Infrastructures 20(5): 447-462 (2024)
• 
  Meng Han, Shujuan Liu, Zhihui Gao, Dongliang Mu, Ang Li:
  Mining Top-K constrained cross-level high-utility itemsets over data streams. Knowl. Inf. Syst. 66(5): 2885-2924 (2024)

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