Extracting knowledge from huge data in a reasonable time is still a challenging problem. Most real data (structured or not) can be mapped to an equivalent binary context, with or without using a scaling method, as for extracting associations between words in a text, or in machine learning...

Purpose – Creditor reliance on accounting‐based numbers as a persistent and traditional standard to assess a firm's financial soundness and viability suggests that the integrity of financial statements is essential to credit decisions. The purpose of this paper is to provide an approach to...

This paper proposes a novel intelligent system for improving product formula design with sensory evaluation. The analyses and tests we carried out have shown that the proposed intelligent system is efficient for cigarette quality management, formula maintenance and new product design. Genetic...