Advances in knowledge discovery and ...
Bailey, James.

 

  • Advances in knowledge discovery and data mining[electronic resource] :20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016 : proceedings.Part I /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 006.312
    書名/作者: Advances in knowledge discovery and data mining : 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016 : proceedings./ edited by James Bailey ... [et al.].
    其他題名: PAKDD 2016
    其他作者: Bailey, James.
    團體作者: Clark Conference
    出版者: Cham : : Springer International Publishing :, 2016.
    面頁冊數: xxiv, 608 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Data mining
    標題: Computer Science.
    標題: Data Mining and Knowledge Discovery.
    標題: Artificial Intelligence (incl. Robotics)
    標題: Information Storage and Retrieval.
    標題: Information Systems Applications (incl. Internet)
    標題: Database Management.
    ISBN: 9783319317533
    ISBN: 9783319317526
    內容註: Classification -- Machine learning -- Applications -- Novel methods and algorithms -- Opinion mining and sentiment analysis -- Clustering -- Feature extraction and pattern mining -- Graph and network data -- Spatiotemporal and image data -- Anomaly detection and clustering -- Novel models and algorithms -- Text mining and recommender systems.
    摘要、提要註: This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016. The 91 full papers were carefully reviewed and selected from 307 submissions. They are organized in topical sections named: classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data; spatiotemporal and image data; anomaly detection and clustering; novel models and algorithms; and text mining and recommender systems.
    電子資源: http://dx.doi.org/10.1007/978-3-319-31753-3
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