Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I (Lecture Notes in Computer Science)

  • 出版商: Springer
  • 出版日期: 2017-04-23
  • 售價: $4,450
  • 貴賓價: 9.5$4,228
  • 語言: 英文
  • 頁數: 841
  • 裝訂: Paperback
  • ISBN: 3319574531
  • ISBN-13: 9783319574530
  • 相關分類: Computer-ScienceData-mining
  • 海外代購書籍(需單獨結帳)

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商品描述

This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017.

The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.

商品描述(中文翻譯)

這套兩卷本的書籍,LNAI 10234 和 10235,包含了第21屆亞太地區知識發現與數據挖掘會議(PAKDD 2017)的經過徹底審核的會議論文集,該會議於2017年5月在南韓濟州島舉行。

這129篇完整論文是從458篇投稿中仔細審核和選出的。它們被組織成以下主題部分:分類與深度學習;社交網絡與圖形挖掘;隱私保護挖掘與安全/風險應用;時空與序列數據挖掘;聚類與異常檢測;推薦系統;特徵選擇;文本與意見挖掘;聚類與矩陣分解;動態流數據挖掘;新模型與算法;行為數據挖掘;圖形聚類與社群檢測;降維。

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