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Data mining and big data = 5th International Conference, DMBD 2020, Belgrade, Serbia, July 14-20, 2020 : proceedings /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Data mining and big data/ edited by Ying Tan, Yuhui Shi, Milan Tuba.
其他題名:
5th International Conference, DMBD 2020, Belgrade, Serbia, July 14-20, 2020 : proceedings /
其他題名:
DMBD 2020
其他作者:
Tan, Ying.
團體作者:
DMBD (Conference)
出版者:
Singapore :Springer Singapore : : 2020.,
面頁冊數:
xi, 119 p. :ill., digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Data mining - Congresses. -
電子資源:
https://doi.org/10.1007/978-981-15-7205-0
ISBN:
9789811572050
Data mining and big data = 5th International Conference, DMBD 2020, Belgrade, Serbia, July 14-20, 2020 : proceedings /
Data mining and big data
5th International Conference, DMBD 2020, Belgrade, Serbia, July 14-20, 2020 : proceedings /[electronic resource] :DMBD 2020edited by Ying Tan, Yuhui Shi, Milan Tuba. - Singapore :Springer Singapore :2020. - xi, 119 p. :ill., digital ;24 cm. - Communications in computer and information science,12341865-0929 ;. - Communications in computer and information science ;1234..
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.
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.
ISBN: 9789811572050
Standard No.: 10.1007/978-981-15-7205-0doiSubjects--Topical Terms:
551626
Data mining
--Congresses.
LC Class. No.: QA76.9.D343 / D53 2020
Dewey Class. No.: 006.312
Data mining and big data = 5th International Conference, DMBD 2020, Belgrade, Serbia, July 14-20, 2020 : proceedings /
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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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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.
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