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 折 $4,228
- 語言: 英文
- 頁數: 841
- 裝訂: Paperback
- ISBN: 3319574531
- ISBN-13: 9783319574530
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相關分類:
Computer-Science、Data-mining
海外代購書籍(需單獨結帳)
相關主題
商品描述
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。