Dimensionality reduction of feature vector size plays a vital role in enhancing the text
processing capabilities; it aims in reducing the size of the feature vector used in the mining …

The task of extracting the used feature vector in mining tasks (classification, clustering… etc.)
is considered the most important task for enhancing the text processing capabilities. This …

With the rapid growth of information on the World Wide Web (WWW), classification of web
documents has become important for efficient information retrieval. Relevancy of information …

In this modern era, news documents are available in large volumes in online news portals.
Based on news contents they can be categorized into different groups eg, politics, sports …

Categorizing the text documents into predefined number of categories is called text
classification. This paper analyzes various ways of applying nearest neighbor classification …

The data on the web is generally stored in structured, semi-structured and un-structured
formats; from the survey the most of the information of an organization is stored in …

Analysts, researchers, and other users from different fields may spend a lot of time
recognizing their work-related documents and organizing them in a way that allows them to …

Cloud computing has recently emerged as a new paradigm for hosting and delivering
services over the internet. In this paper we focus on the overview about the cloud computing …

Nowadays, the amount of available digital documents is rapidly growing, expanding at a
considerable rate and coming from a variety of sources. Sources of unstructured and semi …

In lot of communication e-mail plays important role. E-mail system is used for communication
in all type of organizations. It is self-evident that e-mail has become a central means for the …