{"title":"Quan Z. Sheng","description":null,"products":[{"product_id":"service-oriented-computing-springer-international-publishing-ag-9783319462943-14th-international-conference-icsoc-2016-banff-ab-canada-october-10-13-2016-proceedings-quan-z-sheng","title":"Service-Oriented Computing","description":"\u003cp\u003e\u003cstrong\u003eService-Oriented Computing\u003c\/strong\u003e by Quan Z. Sheng, Eleni Stroulia, Samir Tata, Sami Bhiri.\u003c\/p\u003e\n\u003cp\u003ePublished by Springer, (2016), Paperback, 849 pages.\u003c\/p\u003e\n\u003cp\u003eTopics: Computer network architectures, Web services, Computer science, Information retrieval.\u003c\/p\u003e","brand":"Quan Z. 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With 378 pages of in-depth research, this collection includes 159 meticulously reviewed full papers selected from over 422 submissions, making it an essential resource for researchers and practitioners in the field. Enhance your understanding of advanced data mining techniques and applications with this authoritative compilation that reflects the latest trends and innovations in the industry.\u003c\/p\u003e","brand":"Quan Z. 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This comprehensive six-volume set, part of the LNAI series (15387-15392), features the refereed proceedings from the prestigious 20th International Conference on Advanced Data Mining and Applications (ADMA 2024), held in Sydney, Australia, from December 3–5, 2024.\u003c\/p\u003e \n\n\u003cp\u003eWith a total of 418 pages, this collection presents 159 meticulously reviewed full papers selected from over 422 submissions. Each paper delves into the latest advancements and applications in data mining, making it an essential resource for researchers, practitioners, and students alike.\u003c\/p\u003e \n\n\u003cp\u003ePublished by \u003cstrong\u003eSpringer Nature Switzerland AG\u003c\/strong\u003e, this paperback edition is a must-have for anyone looking to stay at the forefront of data mining technology and applications. Don't miss the opportunity to enhance your understanding of this dynamic field!\u003c\/p\u003e","brand":"Quan Z. 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With 383 pages of in-depth research, this collection includes 159 meticulously reviewed full papers chosen from an impressive 422 submissions, showcasing the latest advancements in data mining techniques and applications. Perfect for researchers, practitioners, and students alike, this volume is essential for anyone looking to stay at the forefront of this rapidly evolving field. Don’t miss the opportunity to enhance your knowledge with this invaluable resource.\u003c\/p\u003e","brand":"Quan Z. 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With a total of 448 pages, this collection presents 159 meticulously reviewed full papers selected from an impressive 422 submissions. Dive into the latest research and advancements in data mining, perfect for professionals and academics looking to enhance their understanding and application of data mining techniques. Don't miss out on this essential resource for anyone in the field!\u003c\/p\u003e","brand":"Quan Z. 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