In today’s digital era, the healthcare sector produces vast amounts of data embedded in unstructured clinical notes. These ...

The continual explosion of information technology and the need for better data collection and management methods has made data mining an even more relevant topic of study. Books on data mining tend to ...

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the ...

This is the official implement for paper BioMiner: A Multi-modal System for Automated Mining of Protein-Ligand Bioactivity Data from Literature ... BioMiner integrates four specialized agents-data ...

Department of Computer Science, Hong Kong University of Science and Technology, Clearwater Bay, Kowloon, Hong Kong, China ...

We spoke with AgileDD, a tech company shaking things up in the mining sector with their AI-powered document intelligence. They have an approach that mixes the speed of AI with the smarts of human ...

The Cancer Genome Atlas (TCGA) provides comprehensive genomic data across various cancer types. However, complex file naming conventions and the necessity of linking disparate data types to individual ...

Abstract: This paper introduces fProcessor, a tool designed for nonintrusive, on-the-fly preprocessing of data being written to files. “Nonintrusive” means that fProcessor requires no modifications to ...