Trimmed

WiMi Developed a Trimmed K-Means Algorithm to Detect Crypto Wallet Fraud on the Bitcoin Network

Retrieved on: 
Thursday, January 18, 2024
Cloud, Bitcoin, Holography, Anomaly, Fraud, Cluster analysis, Workflow, Behavior informatics, Environment, Symmetry, Acquisition, Blockchain, Trimmed, Engineering, Augmented reality, Data, WIMI, Cryptocurrency

Beijing, Jan. 18, 2024 (GLOBE NEWSWIRE) -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced a Trimmed K-Means algorithm for detecting crypto-wallet fraud on the Bitcoin network.

Key Points: 
  • Beijing, Jan. 18, 2024 (GLOBE NEWSWIRE) -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced a Trimmed K-Means algorithm for detecting crypto-wallet fraud on the Bitcoin network.
  • It combines symmetry and asymmetry in computer and engineering sciences to provide a novel solution for crypto-wallet fraud on the Bitcoin network.
  • First, through the collective anomaly detection method, anomalous behaviors can be identified more efficiently on the Bitcoin network, improving the overall security of the network.
  • Second, the Trimmed K-Means algorithm is used to reduce the processing cost of feature extraction, making it more practical.