Mining high utility itemsets from massive data is one of the most active research directions in
data mining at present. Intelligent optimization algorithms have been applied to the high …

The cuckoo search algorithm is a recently developed meta-heuristic optimization algorithm,
which is suitable for solving optimization problems. To enhance the accuracy and …

Automation in pharmacies has achieved innovative levels of effectiveness and savings. In
the present day, automated pharmacies are facing extremely large demands of prescription …

Explaining the behavior of a black box machine learning model at the instance level is
useful for building trust. However, it is also important to understand how the model behaves …

Nowadays market basket analysis is one of the interested research areas of the data mining
that has received more attention by researchers. But, most of the related research focused …

Dengue, a fast-spreading vector-borne infectious disease, requires early prediction and
prompt decision-making for effective control. To address this issue, we present a …

This paper presents a study of mining frequent itemsets from streaming data in the presence
of concept drift. Streaming data, being volatile in nature, is particularly challenging to mine …

This Paper focuses a new approach for applying association rules in the Medical Domain to
discover Heart Disease Prediction. The health care industry collects huge amount of health …

the model is essentially a black box, meaning that the transfer characteristics (or behavior) of
the model cannot be definitively interpreted into an inclusive set of rules that describe all of …

This paper presents a causation analysis model for traffic accident. Traffic accident is a result
influenced by the interaction of various factors. Considering the characteristic of multi …