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Data Mining and Big Data 5th International Conference, DMBD 2020, Belgrade, Serbia, July 14–20, 2020, Proceedings
Title
Data Mining and Big Data [electronic resource] : 5th International Conference, DMBD 2020, Belgrade, Serbia, July 14–20, 2020, Proceedings / edited by Ying Tan, Yuhui Shi, Milan Tuba.
ISBN
9789811572050
Edition
1st ed. 2020.
Publication
Singapore : Springer Singapore : Imprint: Springer, 2020.
Physical Description
1 online resource (XI, 119 p.) 75 illus., 40 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
July 31, 2020
Series
Communications in Computer and Information Science, 1234
Contents
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.
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