Data mining is the promising field that attracted the industries to manage huge volumes of
data. The most effective and challenging techniques of data mining is data classification …

In data mining, classification is one of the most important steps in predicting the target class.
Classification is performed by an improved model in existing work in which feature selection …

As a powerful paradigm, deep learning (DL) models have been used in many applications
for classification tasks in images, text, and audio. Through DL models, we can learn task …

The impact of innovated Neuro-Fuzzy System (NFS) has emerged as a dominant technique
for addressing various difficult research problems in business. ANFIS (Adaptive Neuro …

Data mining discovers meaningful knowledge attributes from provided dataset and further
transforms it into meaningful information. Data mining became more popular with the …

Healthcare performs a key role in the health of humans in the world. While gathering a huge
amount of medical data, the problems will appear on the classification of healthcare data. In …

In our study, we proposed a novel Neuro-fuzzy classification technique for data mining. The
inputs to the Neuro-fuzzy classification system were fuzzified by applying generalized bell …

In this paper, we have used a FUZZY NET trained by the PARTICLE SWARM
OPTIMIZATION (PSO) technique for CLASSIFICATION task of DATA MINING. FUZZY NET …

Techniques involved artificial intelligence and machine learning offers various classification
methods in order to deal with daily life problems. Among these methods, Adaptive Neuro …

Big data is turning out to be well-liked and enviable amongst numerous users for storing,
analyzing, and handling larger quantities of data. Nevertheless, clustering these larger data …