Titlebook: Web and Big Data; 6th International Jo Bohan Li,Lin Yue,Toshiyuki Amagasa Conference proceedings 2023 The Editor(s) (if applicable) and The

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書目名稱Web and Big Data影響因子(影響力)




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書目名稱Web and Big Data網(wǎng)絡(luò)公開度




書目名稱Web and Big Data網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Web and Big Data被引頻次學(xué)科排名




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書目名稱Web and Big Data年度引用學(xué)科排名




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A Context Model for?Personal Data Streamsotations, as they can be collected from mobile devices, e.g. smartphones, smartwatches or fitness trackers. The proposed model is validated on a very large dataset about the everyday life of one hundred and fifty-eight people over four weeks, twenty-four hours a day.

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978-3-031-25157-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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https://doi.org/10.1007/978-3-031-25158-0artificial intelligence; bandwidth; communication systems; computer hardware; computer networks; computer

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MCSketch: An Accurate Sketch for Heavy Flow Detection and Heavy Flow Frequency Estimationer accuracy than existing algorithms for heavy flow detection. Moreover, MCSketch reduces the average relative error by approximately 1 to 3 orders of magnitude in comparison to other state-of-art approaches.

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MCSketch: An Accurate Sketch for Heavy Flow Detection and Heavy Flow Frequency Estimationer accuracy than existing algorithms for heavy flow detection. Moreover, MCSketch reduces the average relative error by approximately 1 to 3 orders of magnitude in comparison to other state-of-art approaches.