Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II (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: 857
  • 裝訂: Paperback
  • ISBN: 3319575287
  • ISBN-13: 9783319575285
  • 相關分類: Computer-ScienceData-mining
  • 海外代購書籍(需單獨結帳)

相關主題

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)

這兩卷的LNAI 10234和10235,是第21屆太平洋亞洲知識發現和數據挖掘進展會議(PAKDD 2017)的完全審查過的論文集,該會議於2017年5月在南韓濟州舉行。129篇全文經過仔細審查和從458篇投稿中選擇出來。它們按主題分為以下幾個部分:分類和深度學習;社交網絡和圖形挖掘;隱私保護挖掘和安全/風險應用;時空和序列數據挖掘;聚類和異常檢測;推薦系統;特徵選擇;文本和意見挖掘;聚類和矩陣分解;動態、流數據挖掘;新模型和算法;行為數據挖掘;圖形聚類和社區檢測;降維。

類似商品