Static index pruning methods have been proposed to reduce size of the inverted index of information retrieval systems. The goal is to increase efficiency (in terms of query response time) while preserving effectiveness (in terms of ranking quality). Current state-of-the-art approaches include the term-centric pruning approach and the document-centric pruning approach. While the term-centric pru...

An efficient cluster based hybrid niche mimetic and genetic algorithm for text document categorization to improve the retrieval rate of relevant document fetching is addressed. The proposal minimizes the processing of structuring the document with better feature selection using hybrid algorithm. In addition restructuring of feature words to associated documents gets reduced, in turn increases d...

<p style='text-indent:20px;'>In this paper, we introduce two classes of MacDonald codes over the finite non-chain ring <inline-formula><tex-math id="M1">\begin{document}$ \mathbb{F}_p+v\mathbb{F}_p+v^2\mathbb{F}_p $\end{document}</tex-math></inline-formula> and their torsion which are linear id="M2">\begin{document}$ \mathbb{F}_p $\end{document}</tex-math>...

Online document clustering takes as its input a list of document vectors, ordered by time. A document vector consists of a list of K terms and their associated weights. The generation of terms and their weights from the document text may vary, but the TF-IDF (term frequency-inverse document frequency) method is popular for clustering applications [1]. The assumption is that the resulting docume...

The statistical evidence for a relationship between pregnancy smoking, birthweight, and perinatal mortality is critically examined. Some apparent discrepancies between and within different studies are resolved.