Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, Ecml Pkdd 2025, Porto, Portugal, September 15-19, 2025, Pr
暫譯: 資料庫中的機器學習與知識發現：研究專題，歐洲會議，ECML PKDD 2025，葡萄牙波爾圖，2025年9月15日至19日

Ribeiro, Rita P., Pfahringer, Bernhard, Japkowicz, Nathalie

Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, Ecml Pkdd 2025, Porto, Portugal, September 15-19, 2025, Pr
  • 出版商: Springer
  • 出版日期: 2025-09-30
  • 售價: $3,760
  • 貴賓價: 9.5 折 $3,572
  • 語言: 英文
  • 頁數: 546
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3032059801
  • ISBN-13: 9783032059802
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

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商品描述

This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Portugal, September 15-19, 2025.

The 300 full papers presented here, together with 15 demo papers, were carefully reviewed and selected from 1253 submissions. The papers presented in these proceedings are from the following three conference tracks:

    The Research Track in Volume LNAI 16013-16020 refers about Anomaly & Outlier Detection, Bias & Fairness, Causality, Clustering, Data Challenges, Diffusion Models, Ensemble Learning, Graph Neural Networks, Graphs & Networks, Healthcare & Bioinformatics, Images & Computer Vision, Interpretability & Explainability, Large Language Models, Learning Theory, Multimodal Data, Neuro Symbolic Approaches, Optimization, Privacy & Security, Recommender Systems, Reinforcement Learning, Representation Learning, Resource Efficiency, Robustness & Uncertainty, Sequence Models, Streaming & Spatiotemporal Data, Text & Natural Language Processing, Time Series, and Transfer & Multitask Learning. The Applied Data Science Track in Volume LNAI 16020-16022 refers about Agriculture, Food and Earth Sciences, Education, Engineering and Technology, Finance, Economy, Management or Marketing, Health, Biology, Bioinformatics or Chemistry, Industry (4.0, 5.0, Manufacturing, ...), Smart Cities, Transportation and Utilities (e.g., Energy), Sports, and Web and Social Networks The Demo Track in LNAI 16022 showcased practical applications and prototypes, accepting 15 papers from a total of 30 submissions. These proceedings cover the papers accepted in the research and applied data science tracks.

商品描述(中文翻譯)

這套多卷本的系列，LNAI 16013 至 LNAI 16022，構成了2025年歐洲機器學習與數據庫知識發現會議（ECML PKDD 2025）的經過審核的會議論文集，會議於2025年9月15日至19日在葡萄牙波爾圖舉行。

這裡呈現的300篇完整論文，以及15篇示範論文，都是從1253篇投稿中仔細審核和選出的。這些會議論文來自以下三個會議主題：

- LNAI 16013-16020的研究主題涵蓋異常與離群點檢測、偏見與公平性、因果關係、聚類、數據挑戰、擴散模型、集成學習、圖神經網絡、圖形與網絡、醫療保健與生物信息學、圖像與計算機視覺、可解釋性與解釋性、大型語言模型、學習理論、多模態數據、神經符號方法、優化、隱私與安全、推薦系統、強化學習、表示學習、資源效率、穩健性與不確定性、序列模型、流媒體與時空數據、文本與自然語言處理、時間序列，以及轉移與多任務學習。

- LNAI 16020-16022的應用數據科學主題涵蓋農業、食品與地球科學、教育、工程與技術、金融、經濟、管理或行銷、健康、生物學、生物信息學或化學、工業（4.0、5.0、製造等）、智慧城市、交通與公用事業（例如，能源）、體育，以及網絡與社交網絡。

- LNAI 16022的示範主題展示了實際應用和原型，從30篇投稿中接受了15篇論文。這些會議論文集涵蓋了在研究和應用數據科學主題中接受的論文。

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