Intelligent computing algorithm optimization in large-scale text data mining

To address performance bottlenecks in large-scale text data mining, this paper proposes a multi-dimensional optimization strategy. Using an 8-node Spark cluster, parallel computing achieves processing speeds of 12,000 samples/second. Feature hashing reduces memory usage from 24GB to 3.2GB, while kno... View More