Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part
暫譯: 機器學習與資料庫中的知識發現:歐洲會議,ECML PKDD 2018,愛爾蘭都柏林,2018年9月10-14日,會議論文集,部分
Brefeld, Ulf, Curry, Edward, Daly, Elizabeth
- 出版商: Springer
- 出版日期: 2019-01-18
- 售價: $2,420
- 貴賓價: 9.5 折 $2,299
- 語言: 英文
- 頁數: 706
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030109968
- ISBN-13: 9783030109967
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相關分類:
Machine Learning、資料庫
海外代購書籍(需單獨結帳)
相關主題
商品描述
The three volume proceedings LNAI 11051 - 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018.
The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track.The contributions were organized in topical sections named as follows:
Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learning; ensemble methods; and evaluation.
Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning.
Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.
商品描述(中文翻譯)
這三卷的會議論文集 LNAI 11051 - 11053 是2018年歐洲機器學習與數據庫知識發現會議(ECML PKDD 2018)經過審稿的論文集,該會議於2018年9月在愛爾蘭都柏林舉行。
第一部分和第二部分共呈現了131篇常規論文,這些論文是從535篇提交的稿件中仔細審核和選出的;其中有52篇論文來自應用數據科學、nectar和演示軌道。
這些貢獻被組織成以下主題部分:
第一部分:對抗學習;異常和離群點檢測;應用;分類;聚類和無監督學習;深度學習;集成方法;以及評估。
第二部分:圖形;核方法;學習範式;矩陣和張量分析;在線和主動學習;模式和序列挖掘;概率模型和統計方法;推薦系統;以及遷移學習。
第三部分:ADS數據科學應用;ADS電子商務;ADS工程與設計;ADS金融與安全;ADS健康;ADS感測與定位;nectar軌道;以及演示軌道。