Feature selection is a technique commonly used in Data Mining and Machine Learning.
Traditional feature selection methods, when applied to large datasets, generate a large …

Feature selection is one of the key components of data mining and machine learning
domain that selects the best subset of features with respect to target data by removing …

Nowadays, online reviews play an important role in customer's decision. Starting from
buying a shirt from an e-commerce site to dining in a restaurant, online reviews has become …

Artificial neural network (ANN) is modeled to predict and classify problems. However, in the
training phase of ANNs discovering faultless values of the weights of a network is extremely …

Sentiment analysis is a type of contextual text mining that assesses how users feel about
emotive topics that are frequently discussed on social media. To analyze the sentiments of …

Background: Feature selection sometimes also known as attribute subset selection is a
process in which optimal subset of features are elected with respect to target data by …

News is a medium that notifies people about the events that had happened worldwide. The
menace of fake news on online platforms is on the rise which may lead to unwanted events …

Image segmentation partitions an image into coherent and non-overlap** regions. Due to
variations of visual patterns in images, it is a challenging problem. This paper introduces a …

The difficulty of selecting features efficiently in histopathology image analysis remains
unresolved. Furthermore, the majority of current approaches have approached feature …

Sentiment analysis is a type of contextual text mining that determines how people feel about
emotional issues that are frequently discussed on social media. The sentiments of emotive …