Breast cancer is the second most frequent human neoplasm that accounts for one quarter of
all cancers in females. Among the other types of cancers, it is considered to be the main …

Most of the international accreditation bodies in engineering education (eg, ABET) and
outcome-based educational systems have based their assessments on learning outcomes …

Autism Spectrum Disorder (ASD) is a psychiatric disorder that puts constraints on the ability
to use of cognitive, linguistic, communicative, and social skills. Recently, many data mining …

Many critical applications need more accuracy and speed in the decision making process.
Data mining scholars developed set of artificial automated tools to enhance the entire …

Association Classification (AC) technique is a predictive approach that has been
investigated widely in the last two decades. Many researchers attempted to use AC in real …

Association rule mining involves discovering concealed correlations among variables often
from sales transactions to help managers in key business decision involving items shelving …

Associative classification is a promising methodology in information mining that uses the
association rule discovery procedures to build the classifier. But they have some limitations …

Associative Classification (AC) classifiers are of substantial interest due to their ability to be
utilised for mining vast sets of rules. However, researchers over the decades have shown …

Many critical applications–such as medical diagnosis, text analysis, website phishing, and
many others–need an artificial automated tool to enhance the decision-making process …

In view of Ministry of Railways decision to re-classify railway stations by considering
passenger footfall, account earnings and giving priority to different passenger amenities and …