Feature selection is one of the well known solution to high dimensionality problem of text
categorization. In text categorization, selection of good features (terms) plays a very …

As the risks associated with air turbulence are intensified by climate change and the growth
of the aviation industry, it has become imperative to monitor and mitigate these threats to …

Selection of highly discriminative feature in text document plays a major challenging role in
categorization. Feature selection is an important task that involves dimensionality reduction …

In this today's technology, many of digital documents are being generated and available
each day. However, it would cost a vast amount of time and human efforts to classify them in …

A sequential learning framework for text categorization based on Meta-cognitive Neural
Network (McNN) is presented in this paper. Initially text documents are pre-processed and …

In this paper, the problem of skewness in text corpora for effective classification is
addressed. A method of converting an imbalanced text corpus into a more or less balanced …

In this work, a problem associated with imbalanced text corpora is addressed. A method of
converting an imbalanced text corpus into a balanced one is presented. The presented …

In this paper, we present a new text categorization model using consensus clustering to
categorize text documents. Initially, text documents are pre-processed and represented in …

Mobile Ad Hoc Network (MANET) is a special and attractive type of new wireless networks. It
is an autonomous system that can dynamically be set up anywhere and anytime without …

Knowledge-oriented content-based filtering techniques are among the most effective ways
to search, filter, and manage information resources. In this paper, a novel filtering framework …