Data Mining and Big Data
Editat de Ying Tan, Yuhui Shien Limba Engleză Paperback – 26 iul 2019
They are organized in topical sections named: data analysis; prediction; clustering; classification; mining pattern; mining tasks.
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Specificații
ISBN-13: 9789813295629
ISBN-10: 9813295627
Pagini: 356
Ilustrații: XIV, 340 p. 142 illus., 81 illus. in color.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.54 kg
Ediția:1st edition 2019
Editura: Springer
Locul publicării:Singapore, Singapore
ISBN-10: 9813295627
Pagini: 356
Ilustrații: XIV, 340 p. 142 illus., 81 illus. in color.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.54 kg
Ediția:1st edition 2019
Editura: Springer
Locul publicării:Singapore, Singapore
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Cuprins
Data Analysis.- Prediction.- Clustering.- Classification.- Mining Pattern.- Mining Tasks.
Descriere
Descriere de la o altă ediție sau format:
This two-volume set, CCIS 2356 and CCIS 2357, constitutes the refereed proceedings of the 9th International Conference on Data Mining and Big Data, DMBD 2024, held in Ho Chi Minh City, Vietnam, in December 2024. The 46 full papers presented in these volumes were carefully reviewed and selected from 93 submissions.
This two-volume set, CCIS 2356 and CCIS 2357, constitutes the refereed proceedings of the 9th International Conference on Data Mining and Big Data, DMBD 2024, held in Ho Chi Minh City, Vietnam, in December 2024. The 46 full papers presented in these volumes were carefully reviewed and selected from 93 submissions.