Qingzhou Zhang

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Due to the exponential growth of documents in the Internet and the emergent need to organize them, the automatic document classification has received an ever-increased attention in the recent years. The particle swarm optimization (PSO) algorithm, new to the document classification community, is a robust stochastic evolutionary algorithm based on the(More)
Face recognition has received growing attention because of its wide applications. In this paper, an efficient face recognition algorithm based on non-negative matrix factorization (NMF) and SVM is proposed. The high dimension face images are first projected into a lower-dimensional subspace using NMF. The SVM classifier is then used to classify the face(More)
Materialized view selection is one of the most crucial techniques to design data warehouse in an optimal manner. To efficiently deal with materialized view selection problem, an efficient materialized view selection algorithm based on memtic algorithm(MA) is presented in this paper. Experimental results show that the proposed algorithm achieves much better(More)
BACKGROUND The 1306 C>T, 1171 5A>6A, and 1562C>T polymorphisms of matrix metalloproteinase (MMP) 2, MMP3, and MMP9 genes, respectively, have been found to be functional and may contribute to head and neck carcinogenesis. However, the results of case-control studies examining associations between MMP polymorphisms and head and neck cancer (HNC) risk remain(More)
UNLABELLED We present a bioinformatics database named Renal Gene Expression Database (RGED), which contains comprehensive gene expression data sets from renal disease research. The web-based interface of RGED allows users to query the gene expression profiles in various kidney-related samples, including renal cell lines, human kidney tissues and murine(More)
Document clustering is one of the most important research areas of data mining due to its wide application in many fields. To efficiently cope with this problem, a novel document clustering algorithm based on nonnegative matrix factorization (NMF) and support vector data description (SVDD) is proposed in this paper. Experimental results on two well-known(More)
This paper describes a novel immune algorithm (IA) for data mining, the goal of the novel algorithm is to extract classification rules from data in database. This algorithm is inspired by the theory of immunity in biology which mainly constructs an immune operator accomplished by two steps: 1) a vaccination and 2) an immune selection. Experimental results(More)
To efficiently deal with document classification problem, an efficient document classification algorithm based on kernel local discriminant embedding(kernel LDE) is proposed in this paper. The high-dimensional document data are first mapped into lower-dimensional feature space, then the SVM classifier is applied to classify documents. The experimental(More)
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