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: $4,440
- 貴賓價: 9.5 折 $4,218
- 語言: 英文
- 頁數: 857
- 裝訂: Paperback
- ISBN: 3319575287
- ISBN-13: 9783319575285
-
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。