Data mining is used for finding the useful information from the large amount of data. Data
mining techniques are used to implement and solve different types of research problems …

Spurred by service computing and cloud computing, an increasing number of services are
emerging on the Internet. As a result, service-relevant data become too big to be effectively …

The exponential increase in textual unstructured digital data creates significant demand for
advanced and smart stemming systems. As a preprocessing stage, stemming is applied in …

Purpose The data created from regular maintenance activities of equipment are stored as
text in industrial plants. The size of these data is increasing rapidly nowadays. Text mining …

This paper is an effort to present the basic understanding of BIG DATA is and it's usefulness
to an organization from the performance perspective. Along-with the introduction of BIG …

In this paper, we study the performance of various models for automated evaluation of
descriptive answers by using rank based feature selection filters for dimensionality …

With the large quantity of information offered on-line, it's equally essential to retrieve correct
information for a user query. A large amount of data is available in digital form in multiple …

Stemming is the process of removing the affixes from inflections and to return the root form.
Malayalam is highly agglutinative in nature and hundreds of inflections are possible for each …

High dimensionality of text data would degrade the performance of text classification for the
existence of irrelevant terms. Thus, it is necessary to perform feature selection to remove …

This research work is concerned with the development of a rule-based stemmer for
stemming of adjectives in the Punjabi language. Stemming is a method of deriving the root …