Association rule mining (ARM) is one of the core techniques of data mining to discover
potentially valuable association relationships from mixed datasets. In the current research …

Leukemia or blood cancer is a disease that affects a large population, especially children.
Fast and early detection of four main types of leukemia is crucial for successful treatment …

K-means is a simple and commonly used algorithm, which is widely applied in many fields
due to its fast convergence and distinctive performance. In this paper, a novel algorithm is …

In the last decades, swarm intelligence algorithms have become a powerful tool for solving
hard optimization problems. Nowadays numerous algorithms are proved to be good for …

As website users are increasing day by day, user behaviour analysis for improving the
website performance attracts many researchers. This paper introduces the web page …

Recommendation of web page as per users' interest is a broad and important area of
research. Researcher adopts user behavior from actions present in cookies, logs and search …

It is well-known that determining the optimal number of vehicles and searching for the
shortest distances produced with them presents an NP-hard problem. Many distribution …

Fireworks Algorithm has been proposed for almost 10 years. Because of its basic but
profound collaborative searching manner and advantages of universal effectiveness …

Node embeddings present a powerful method of embedding graph-structured data into a
low dimensional space while preserving local node information. Clustering is a common …