Hamid Reza Naji

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— Feature selection is a problem of finding efficient features among all features in which the final feature set can improve accuracy and reduce complexity. In feature selection algorithms search strategies are key aspects. Since feature selection is an NP-Hard problem; therefore heuristic algorithms have been studied to solve this problem. In this paper,(More)
Wood characteristics vary from pith to bark and this can influence the final use. These variations can be related to the effects of plantation management. The radial variation in fiber cells, vessel elements, and ray cells was investigated for a commercial and fast-grown species, the rubberwood (Hevea brasiliensis), at varying stocking densities.(More)
This paper presents a new inductive learning method for conceptual classification of multi-label texts in web mining based on ontology through Term Space Reduction (TSR) and through using mutual information measure. Laboratory results show the presented method has high precision in compare to existing methods of SVM, Find Similar, Naïve Bayes Nets, and(More)
  • Hamid Reza Naji, Technology Kerman, Iran Davod, Khosroanjom, Abolghasem Rajabi
  • 2011
Followed by changing environment and global competition, performance of enterprises in allocating more market share to themselves has shaped to be a strategic issue for most of competitive enterprises including production companies. In that case suggestion of a new method or methods that increases the performance of production companies, especially in their(More)