Udvidet returret til d. 31. januar 2025

Bøger af Mong Li Lee

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  • af Panos Vassiliadis, Mong Li Lee, Silvana Castano & mfl.
    583,95 kr.

  • af Bernhard Thalheim, Mong Li Lee, Shuigeng Zhou, mfl.
    585,95 kr.

    This book constitutes the workshop proceedings of the 19th International Conference on Database Systems for Advanced Applications, DASFAA 2014, held in Bali, Indonesia, in April 2014. The volume contains papers from 4 workshops, each focusing on hot topics related to database systems and applications: the Second International Workshop on Big Data Management and Analytics, BDMA 2014; the Third International Workshop on Data Management for Emerging Network Infrastructure, DaMEN 2014; the Third International Workshop on Spatial Information Modeling, Management and Mining, SIM³ 2014, and the DASFAA Workshop on Uncertain and Crowdsourced Data, UnCrowd 2014.

  • - 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11-14, 2021, Proceedings, Part I
    af Christian S. Jensen
    596,95 kr.

    The three-volume set LNCS 12681-12683 constitutes the proceedings of the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2021, held in Taipei, Taiwan, in April 2021.The total of 156 papers presented in this three-volume set was carefully reviewed and selected from 490 submissions.The topic areas for the selected papers include information retrieval, search and recommendation techniques; RDF, knowledge graphs, semantic web, and knowledge management; and spatial, temporal, sequence, and streaming data management, while the dominant keywords are network, recommendation, graph, learning, and model. These topic areas and keywords shed the light on the direction where the research in DASFAA is moving towards.Due to the Corona pandemic this event was held virtually.

  • af Rainer Unland, Michael Rys, Zohra Bellahsene & mfl.
    560,95 - 564,95 kr.

  • af Wynne Hsu, Mong Li Lee & Junmei Wang
    1.133,95 kr.

    Addresses different scenarios when finding complex relationships in spatiotemporal data by modeling them as graphs, giving readers a comprehensive synopsis on two successful partition-based algorithms designed by the authors.

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