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Titlebook: Web and Big Data; Third International Jie Shao,Man Lung Yiu,Bin Cui Conference proceedings 2019 Springer Nature Switzerland AG 2019 artifi

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書(shū)目名稱Web and Big Data
副標(biāo)題Third International
編輯Jie Shao,Man Lung Yiu,Bin Cui
視頻videohttp://file.papertrans.cn/1022/1021677/1021677.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Web and Big Data; Third International  Jie Shao,Man Lung Yiu,Bin Cui Conference proceedings 2019 Springer Nature Switzerland AG 2019 artifi
描述.This two-volume set, LNCS 11641 and 11642, constitutes? the thoroughly refereed proceedings of the Third International Joint Conference, APWeb-WAIM 2019, held in Chengdu, China, in August 2019.??..The 42 full papers presented together with 17 short papers, and 6 demonstration papers were carefully reviewed and selected from 180 submissions. . The papers are organized around the following topics: Big Data Analytics; Data and Information Quality; Data Mining and Application; Graph Data and Social Networks; Information Extraction and Retrieval; Knowledge Graph; Machine Learning; Recommender Systems; Storage, Indexing and Physical Database Design; Spatial, Temporal and Multimedia Databases; Text Analysis and Mining; and Demo..
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; classification; computational linguistics; databases; graph theory; image proces
版次1
doihttps://doi.org/10.1007/978-3-030-26075-0
isbn_softcover978-3-030-26074-3
isbn_ebook978-3-030-26075-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Yunpei Zheng,Lin Li,Jianwei Zhang,Qing Xie,Luo Zhongdevelop the subject in a way which would have been impossible otherwise. It is a rapidly growing research field which began to flourish in the 1960s and which is beginning to produce commercial devices. Significant developments have been made, both in the theory and practical engineering of the subj
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Zheng Wang,Cai Na,Zeyu Ma,Si Chen,Lingyun Song,Yang Yangods is that they focus on salient region mining and feature extraction, while ignoring the ability to incorporate discriminative and complementary features from other parts of the image. In order to address this issue, we introduce a novel network known as the Discriminative Region Enhancing and Sup
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Huanran Xue,Jiawei Jiang,Yingxia Shao,Bin Cui the bias of a classifier is a direct consequence of a bias in the training set, frequently caused by the co-occurrence of relevant features and irrelevant ones. To mitigate this issue, we require learning algorithms that prevent the propagation of known bias from the dataset into the classifier. We
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Xiyao Fu,Yi Bin,Zheng Wang,Qin Wei,Si Chenit highly class-imbalanced distributions, yielding two main challenges: relative imbalance amongst the classes and data scarcity for mediumshot or fewshot classes. In this work, we address the problem of long-tailed recognition wherein the training set is highly imbalanced and the test set is kept b
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