Class imbalance is one of the challenges of machine learning and data mining fields.
Imbalance data sets degrades the performance of data mining and machine learning …

Feature selection is employed to reduce the feature dimensions and computational
complexity by eliminating irrelevant and redundant features. A vast amount of increasing …

Abstract Recently, Sentiment analysis from Twitter is one of the most interesting research
disciplines; it combined data mining technologies with natural language processing …

With the advent of blockchain networks, there has been a transition from traditional contracts
to Smart Contracts (SCs), which are crucial for maintaining trust within these networks …

In this era computer security is an important issue now a days because these are used
everywhere to store & process the sensitive data. Specially those used in e-banking, e …

Nowadays fraudulent transactions of every type represent a major concern in the financial
industry due to the total amount of money that are lost every year. Manually analyzing …

Computer Security is an important issue now a days because these are used everywhere to
store and process the sensitive information. Millions of transactions occur through internet …

Purpose This paper aims to deal with the previously unknown prediction accuracy of
students' activity pattern in a blended learning environment. Design/methodology/approach …

Web page classification plays a major role in information management and retrieval task.
Feature selection is an important process for accurate classification of Web pages. Web …

Classification of datasets with characteristics such as high dimensionality and class
imbalance is a major challenge in the field of data mining. Hence to restructure data, a …