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Disambiguation of "Ji, Cun"

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A Fast Shapelet Discovery Algorithm Based on Important Data Points.

, , , , , and . Int. J. Web Service Res., 14 (2): 67-80 (2017)

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Dr. Torbjörn Cunis University of Stuttgart

Yanjun Ji University of Stuttgart

Dr. -Ing. Flavio Cesar Cunha Galeazzo University of Stuttgart

Carlos Eduardo Jimenez University of Stuttgart

Chuhan Jiao University of Stuttgart

 

Other publications of authors with the same name

IBDP: An Industrial Big Data Ingestion and Analysis Platform and Case Studies., , , , and . IIKI, page 223-228. IEEE, (2015)Device Data Ingestion for Industrial Big Data Platforms with a Case Study., , , , , , and . Sensors, 16 (3): 279 (2016)A K-Motifs Discovery Approach for Large Time-Series Data Analysis., , , and . APWeb (2), volume 9932 of Lecture Notes in Computer Science, page 492-496. Springer, (2016)Efficient Snapshot KNN Join Processing for Large Data Using MapReduce., , , , and . ICPADS, page 713-720. IEEE, (2016)A Fast Shapelet Discovery Algorithm Based on Important Data Points., , , , , and . Int. J. Web Service Res., 14 (2): 67-80 (2017)XG-SF: An XGBoost Classifier Based on Shapelet Features for Time Series Classification., , , , , and . IIKI, volume 147 of Procedia Computer Science, page 24-28. Elsevier, (2018)Selecting Superior Candidates from a Suitable Set: A Selective Extraction Algorithm for Accelerating Shapelet Discovery in Time Series Data., , , , and . CSCWD, page 404-409. IEEE, (2019)A Shapelet Selection Algorithm for Time Series Classification: New Directions., , , , , and . IIKI, volume 129 of Procedia Computer Science, page 461-467. Elsevier, (2017)A Self-Evolving Method of Data Model for Cloud-Based Machine Data Ingestion., , , , , , and . CLOUD, page 814-819. IEEE, (2016)A fast shapelet selection algorithm for time series classification., , , , , , and . Computer Networks, (2019)