About this document
Co-occurrence-Based Pruning in Mining by Lan Lê Thị Thùy is a document available to read on EtoBox.
The document presents a new approach to improve the efficiency of sequential pattern mining algorithms using a vertical representation by introducing a candidate pruning mechanism based on item co-occurrences. A new data structure called Co-occurrence MAP (CMAP) is proposed to store co-occurrence information, which helps in reducing the number of infrequent candidates generated during the mining process. Experimental results demonstrate that the modified algorithms outperform existing state-of-the-art algor
- Author
- Lan Lê Thị Thùy
- Language
- EN