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Data Mining and Big Data de Ying Tan

Data Mining and Big Data: Lecture Notes in Computer Science, cartea 9714

Editat de Ying Tan, Yuhui Shi
en Limba Engleză Paperback – 14 iun 2016
The LNCS volume LNCS 9714 constitutes the refereed proceedings of the International Conference on Data Mining and Big Data, DMBD 2016, held in Bali, Indonesia, in June 2016.
The 57 papers presented in this volume were carefully reviewed and selected from 115 submissions. The theme of DMBD 2016 is "Serving Life with Data Science". Data mining refers to the activity of going through big data sets to look for relevant or pertinent information.
The papers are organized in 10 cohesive sections covering all major topics of the research and development of data mining and big data and one Workshop on Computational Aspects of Pattern Recognition and Computer Vision.
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Specificații

ISBN-13: 9783319409726
ISBN-10: 3319409727
Pagini: 588
Ilustrații: XVI, 569 p. 141 illus.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.88 kg
Ediția:1st edition 2016
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Challenges in Data Mining and Big Data.- Data Mining Algorithms.- Frequent Itemset Mining.- Spatial Data Mining.- Prediction.- Feature Selection.- Information Extraction.- Classification.- Anomaly Pattern and Diagnosis.- Data Visualization Analysis.- Privacy Policy.- Social Media.- Query Optimization and Processing Algorithm.- Big Data.- Computational Aspects of Pattern Recognition and Computer Vision.

Caracteristici

Includes supplementary material: sn.pub/extras

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.