In nonlinear industrial processes, some product qualities or key variables are usually difficult
to measure online automatically due to the lack of sensors. In this work, a novel data-driven …

The increase in the rate of technological evolution is resulting in a reduction in the cost of
various storage devices and as a consequence, enormous amounts of data are deposited …

Representing the knowledge learned by neural networks in the form of interpretable rules is
a prudent technique to justify the decisions made by neural networks. Heretofore many …

Data Mining is a powerful technology to help organization to concentrate on most important
data by extracting useful information from large database. One of the most commonly used …

Neural network is one of the best tools for data mining tasks due to its high accuracy.
However, one of the drawbacks of neural network is its black box nature. This limitation …

Aspect extraction poses a significant challenge in Natural Language Processing (NLP).
Extracting explicit and implicit aspects from online text data remains an ongoing challenge …

Classification is one of the data mining problems receiving enormous attention in the
database community. Although artificial neural networks (ANNs) have been successfully …

This paper proposes an algorithm named Reverse Engineering Recursive Rule Extraction
(RE-Re-RX) for symbolic rule extraction from neural network with mixed attributes. RE-Re …

Data mining is the most widely used method for discovering knowledge. There are
numerous data mining tasks, with classification being the most frequently encountered task …

The eye is an essential sensory organ that allows us to perceive our surroundings at a
glance. Losing this sense can result in numerous challenges in daily life. However, society is …