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Titlebook: Web and Big Data; Second International Yi Cai,Yoshiharu Ishikawa,Jianliang Xu Conference proceedings 2018 Springer Nature Switzerland AG 20

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樓主: squamous-cell
31#
發(fā)表于 2025-3-27 00:25:44 | 只看該作者
32#
發(fā)表于 2025-3-27 04:40:31 | 只看該作者
33#
發(fā)表于 2025-3-27 05:37:00 | 只看該作者
34#
發(fā)表于 2025-3-27 10:35:04 | 只看該作者
Towards Privacy-Preserving Travel-Time-First Task Assignment in Spatial Crowdsourcinghm to securely calculate the least common multiple (LCM) of every workers speed, based on which expensive division operation on ciphertexts can be avoided. We formally prove that our protocol is secure against semi-honest adversaries. Through extensive experiments over real datasets, we demonstrate
35#
發(fā)表于 2025-3-27 17:24:12 | 只看該作者
36#
發(fā)表于 2025-3-27 18:32:54 | 只看該作者
Discussion on Fast and Accurate Sketches for Skewed Data Streams: A Case Studynlargement and hierarchy for accuracy, word acceleration and hash bit technique for speed play the central role in the improvement, but they also have limitations and side-effects. Other properties of working sketches such as deletion and generality are also discussed. Our discussions are supported
37#
發(fā)表于 2025-3-27 22:58:54 | 只看該作者
Discussion on Fast and Accurate Sketches for Skewed Data Streams: A Case Studynlargement and hierarchy for accuracy, word acceleration and hash bit technique for speed play the central role in the improvement, but they also have limitations and side-effects. Other properties of working sketches such as deletion and generality are also discussed. Our discussions are supported
38#
發(fā)表于 2025-3-28 04:40:50 | 只看該作者
Location Prediction in Social Networksring one year. The result shows that our joint model perform well, especially the content-based model. We find that our approach improves accuracy compared to the state-of-the-art location prediction algorithm.
39#
發(fā)表于 2025-3-28 06:39:54 | 只看該作者
Location Prediction in Social Networksring one year. The result shows that our joint model perform well, especially the content-based model. We find that our approach improves accuracy compared to the state-of-the-art location prediction algorithm.
40#
發(fā)表于 2025-3-28 14:05:29 | 只看該作者
Map Matching Algorithms: An?Experimental EvaluationWe also report comprehensive findings obtained from the experiments and provide new insights about the strengths and weaknesses of existing map matching algorithms which can guide practitioners to select appropriate algorithms for various scenarios.
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