Abstract Machine processable data that narrate digital/non-digital resources are termed as
metadata. Different metadata standards exist for describing various types of digital objects …

Clustering is an unsupervised data mining technique where exploration is done with little
knowledge of data classes. Its aim is to recognize the hidden information from the data for …

Authors here tried to use the WEKA tool to evaluate the performance of various classifiers on
a dataset to come out with the optimum classifier, for a particular application. A Classifier is …

Software architecture is an important part of the software systems which states that how
multiple components of the system interact with each other. There are multiple architecture …

Data mining algorithms are used for analyzing and extracting large volume of data from
different sources. Applying data mining in e-commerce applications can help making better …

In today trendy world Environmental issues is a main critical area of study due to it's directly
affects the human beings. Water scarcity is the main issue which we are facing now a days …

Data clustering algorithms such as K-Mean clustering works on initial point selection.
According to the literature review, the performance of K-Mean clustering algorithm is not …

Telecommunication organizations are confronting in expanding client administration weight
as they launch various user-desired services. Conveying poor client encounters puts client …