Kashif Javed

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Data and knowledge management systems employ feature selection algorithms for removing irrelevant, redundant, and noisy information from the data. There are two well-known approaches to feature selection, feature ranking (FR) and feature subset selection (FSS). In this paper, we propose a new FR algorithm, termed as class-dependent density-based feature(More)
High dimensionality of text data hinders the performance of classifiers making it necessary to apply feature selection for dimensionality reduction. Most of the feature ranking metrics for text classification are based on document frequencies (df) of a term in positive and negative classes. Considering only document frequencies to rank features favors terms(More)
In machine learning, feature ranking (FR) algorithms are used to rank features by relevance to the class variable. FR algorithms are mostly investigated for the feature selection problem and less studied for the problem of ranking. This paper focuses on the latter. A question asked about the problem of ranking given in the terminology of FR is: as different(More)
A Boolean network is a graphical model for representing and analyzing the behavior of gene regulatory networks (GRN). In this context, the accurate and efficient reconstruction of a Boolean network is essential for understanding the gene regulation mechanism and the complex relations that exist therein. In this paper we introduce an elegant and efficient(More)
In the feature selection community, filters are quite popular. Design of a filter depends on two parameters, namely the objective function and the metric it employs for estimating the feature-to-class (relevance) and feature-to-feature (redundancy) association. Filter designers pay relatively more attention towards the objective function. But a poor metric(More)
Transmembrane protein 16A (TMEM16A), also called Ano1, is a Ca(2+) activated Cl(-) channel expressed widely in mammalian epithelia, as well as in vascular smooth muscle and some tumors and electrically excitable cells. TMEM16A inhibitors have potential utility for treatment of disorders of epithelial fluid and mucus secretion, hypertension, some cancers and(More)