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Data Mining and Big Data: 5th International Conference, DMBD 2020, Belgrade, Serbia, July 1420, 2020, Proceedings 1st ed. 2020 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 119 pages, height x width: 235x155 mm, weight: 215 g, 40 Illustrations, color; 35 Illustrations, black and white; XI, 119 p. 75 illus., 40 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1234
  • Izdošanas datums: 11-Jul-2020
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9811572046
  • ISBN-13: 9789811572043
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Data Mining and Big Data: 5th International Conference, DMBD 2020, Belgrade, Serbia, July 1420, 2020, Proceedings 1st ed. 2020Palielināt
  • Formāts: Paperback / softback, 119 pages, height x width: 235x155 mm, weight: 215 g, 40 Illustrations, color; 35 Illustrations, black and white; XI, 119 p. 75 illus., 40 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1234
  • Izdošanas datums: 11-Jul-2020
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9811572046
  • ISBN-13: 9789811572043
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9789811572043.html
This book constitutes refereed proceedings of the 5th International Conference on Data Mining and Big Data, DMBD 2020, held in July 2020. Due to the COVID-19 pandemic the conference was held in a fully virtual format. 

The 7 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 39 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.

Adaptive and Dynamic Knowledge Transfer in Multi-task Learning with
Attention Networks.- RPP Algorithm: a Method for Discovering Interesting Rare
Itemsets.- Pareto Optimization in Oil Refinery.- Hypothesis Verication for
Designing Flyback Booster by Analysis of Variance Visualized on Triangular
Matrix Representations.- Application of Decision Tree Algorithm Based on
Clustering and Entropy Method Level Division for Regional Economic Index
Selection.- An Evaluation Algorithm of the Importance of Network Node Based
on Community Influence.- PCA Based Kernel Initialization for Convolutional
Neural Networks.- Research on PM2.5 Integrated Prediction Model Based on
lasso-RF-GAM.- Research on Short-term Urban Traffic Congestion Based on Fuzzy
Comprehensive Evaluation and Machine Learning.- Analysis of Breast Cancer
Detection Using Different Machine Learning Techniques.