{"product_id":"machine-learning-and-principles-and-practice-of-knowledge-discovery-in-databases-ebook-1","title":"Machine Learning and Principles and Practice of Knowledge Discovery in Databases","description":"\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; line-height: normal;\"\u003e\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eThe 4-volume set CCIS 2558 – 2561 constitutes the refereed proceedings of several workshops held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2024, which took place in Vilnius, Lithuania, in September 2024. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; line-height: normal;\"\u003e\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eThe 132 full papers included in these proceedings were carefully reviewed and selected from a total of 272 submissions to the workshops. The papers were organized topical sections as follows:\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; line-height: normal;\"\u003e\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003ePart I: Workshop on \u003c\/span\u003eIoT, Edge, and Mobile for Embedded Machine Learning (ITEM Workshop 2024)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e, \u003c\/span\u003eMachine Learning for Sustainable Power Systems (ML4SPS)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e, \u003c\/span\u003eWorkshop on eXplainable Knowledge Discovery in Data Mining (XKDD)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e and \u003c\/span\u003eWorkshop on Bias and Fairness in AI (BIAS 2024)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; line-height: normal;\"\u003e\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003ePart II: Workshop on \u003c\/span\u003eMachine Learning for Chemistry and Chemical Engineering (ML4CCE)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e, Workshop on \u003c\/span\u003eAdvances in Interpretable Machine Learning and Artificial Intelligence (AIM\u003cspan style=\"mso-special-character: footnote;\"\u003e\u003c!-- [if !supportFootnotes]--\u003e\u003cspan style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e[1]\u003c\/span\u003e\u003c!--[endif]--\u003e\u003c\/span\u003eLAI)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e, \u003c\/span\u003e2nd Workshop on Hybrid Human-Machine Learning and Decision Making HLDM’24\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e,\u003c\/span\u003e 15th International Workshop on Machine Learning and Music (MML 2024)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e, \u003c\/span\u003eTutorial and Workshop on Responsible Knowledge Discovery in Education (RKDE 2024)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; line-height: normal;\"\u003e\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003ePart III: \u003c\/span\u003e21st International Workshop on Mining and Learning with Graphs (MLG 2024)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e, \u003c\/span\u003e2nd International Workshop on Deep Learning meets Neuromorphic Hard\u003cspan style=\"mso-special-character: footnote;\"\u003e\u003c!-- [if !supportFootnotes]--\u003e\u003cspan style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e[1]\u003c\/span\u003e\u003c!--[endif]--\u003e\u003c\/span\u003eware (website)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e, \u003c\/span\u003eInternational Workshop on Machine Learning for Irregular Time Series (ML4ITS 2024)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e, \u003c\/span\u003eWorkshop on Machine Learning for Earth Observation (MACLEAN 2024)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e \u003c\/span\u003eWorkshop on New Frontiers in Mining Complex Patterns (NFMCP 2024) and International Workshop and Tutorial on Data-Centric Artificial Intelligence (DEARING).\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; line-height: normal;\"\u003e\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003ePart IV: \u003c\/span\u003eWorkshop on Data Science for Social Good (SoGood 2024)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e, \u003c\/span\u003e7th Workshop on Machine Learning for CyberSecurity (MLCS 2024)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e, \u003c\/span\u003eTutorial and Workshop on Explainable and Robust AI for Industry 4.0 \u0026amp; 5.0 (X-RAI)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e, \u003c\/span\u003eWorkshop on MIning DAta for financial applicationS (MIDAS)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e, \u003c\/span\u003eWorkshop on Advancements in Federated Learning (WAFL)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e, \u003c\/span\u003eWorkshop on Mining and Learning Real-world Dynamics via High-order Net\u003cspan style=\"mso-special-character: footnote;\"\u003e\u003c!-- [if !supportFootnotes]--\u003e\u003c\/span\u003eworks (MLH)\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e.\u003c\/span\u003e\u003c\/p\u003e","brand":"Mattia Cerrato","offers":[{"title":"Default Title","offer_id":53883097219399,"sku":"9783032253088","price":160.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/machine-learning-and-principles-and-practice-of-kn-ebook-cover-mattia-cerrato.webp?v=1778269159","url":"https:\/\/www.cinebuch.de\/products\/machine-learning-and-principles-and-practice-of-knowledge-discovery-in-databases-ebook-1","provider":"CineBuch","version":"1.0","type":"link"}