Clustering has been used in various disciplines like software engineering, statistics, data
mining, image analysis, machine learning, Web cluster engines, and text mining in order to …

This research work is based on the thesis contribution by proposing the goal-based hybrid
filtering approach in e-learning recommender systems (eLearningRecSys). The proposed …

Cluster Analysis is one of the most important data mining techniques which help the
researchers to analyze the data and categorize the attributes of data into various groups. K …

Clustering for big data analytics is a growing subject due to the large size of variety data sets
needed to be analyzed in distributed and parallel environment. An augmentation of K …

Fuzzy clustering methods have been used extensively for image segmentation in the past
decade. The most commonly used soft clustering algorithm is Fuzzy C-Means. An …

Background DNA Methylation is one of the most important epigenetic processes that are
crucial to regulating the functioning of the human genome without altering the DNA …

Lung Cancer is one of the deadly diseases in the world today. Lung Cancer is caused
because of some genetic factors and/or environmental factors and/or today's modern …

Epigenetics is the study of phenotypic variations that do not alter DNA sequences. Cancer
epigenetics has grown rapidly over the past few years as epigenetic alterations exist in all …

Segmentation is an essential part of the detection and classification series. The best result of
brain MRI detection was followed by the best segmentation process. Supporting brain MRI …

Purpose The purpose of this paper is to introduce an evaluation methodology for employee
profiles that will provide feedback to the training decision makers. Employee profiles play a …