Titlebook: Data Mining and Big Data; 6th International Co Ying Tan,Yuhui Shi,Jun Cai Conference proceedings 2021 Springer Nature Singapore Pte Ltd. 20

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978-981-16-7475-4Springer Nature Singapore Pte Ltd. 2021

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A Novel Complex Pignistic Belief Transform for Conflict Measure in Complex Evidence Theory,sed, and some properties of the betting distance are analyzed, including the non-negativeness, nondegeneracy, symmetry, and triangle inequality. The betting distance can be used to measure the conflict between CBBAs. In addition, an example is given to show the advantage of betting distance compared to the conflict coefficient.

大约冬季

Conference proceedings 2021021, held in Guangzhou, China, in October 2021. .The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big

MORT

BSMRL: Bribery Selfish Mining with Reinforcement Learning,ptimize, combining with bribery attacks, their strategies to maximize the rewards by utilizing reinforcement learning. Simulation results indicate that BSMRL can greatly reduce the threshold for the attackers with higher rewards. Compared with the normal selfish miners, intelligent attackers are more dangerous to the system of Ethereum.

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A Network Based Quantitative Method for the Mining and Visualization of Music Influence, directed weighted Influencer-Follower network. Experimental results indicate that the AR can quantify the influence value and Influencer-Follower network based on LMIFNC can embody the relationship of different artists.

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