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Multimedia Data Mining and Knowledge Discovery

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Multimedia Data Mining and Knowledge Discovery
Najniższa cena (z dostawą)
25 764,00 JPY
Typowa cena4 460,43 PLN
Najniższa (90 dni)196,19 PLN
Liczba ofert3
Ostatnia aktualizacja1 tydzień temu
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Historia ceny (90 dni)
Pełna historia
2026-08-08 2026-08-15
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ZaktualizowanoCena
2026-08-08197,99
2026-08-15196,19
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SP SpringerNatureLink Shop INT 25 739,00 JPY 25,00 JPY 25 764,00 JPY Dostępny 2 dni temu Zobacz ofertę
SP Springer Nature Author 25 739,00 JPY 0 zł 25 739,00 JPY Dostępny 1 tydzień temu Zobacz ofertę
SP SpringerNatureLink Shop INT 212,50 EUR 15,00 EUR 227,50 EUR Dostępny 2 dni temu Zobacz ofertę

Ceny i dostępność mogą ulec zmianie. Ostatnia aktualizacja: 08.08.2026 23:37.

EAN 9781447160137
Springer Nature
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This tightly-edited collection of papers from leading researchers worldwide provides an overview of the current state-of-the-art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research. Consisting of an introductory section and four topical parts, the book describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field. Written with graduates in mind, this much needed comprehensive reflection of the current state of multimedia data mining and knowledge discovery will also be a valuable resource for researchers in the field. This book provides an overview of the current state of the art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research. Topics and Features: - Features a comprehensive introduction to multimedia data mining and its relevance today; - presents a global perspective of the field and its various components; - provides broad, yet thorough and detailed coverage of the subject; - numerous chapters reference websites with supplementary materials and demonstrations; - explores multimedia data exploration, multimedia data modeling and evaluation, and visualization; - offers an entire part devoted to applications and case studies. Written with graduate students in mind, this much needed comprehensive survey of the current state of multimedia data mining and knowledge discovery will also serve as a valuable resource for researchers with interests in multimedia data mining, summarization, indexing, and retrieval.

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