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Recently, the number of freely available online reviews is increasing in a high speed. More and more aspect based opinion mining technique has been employed to find out customers' opinions. In this paper, we only focus on categorize product features that the customers have commented on. An unsupervised twice-clustering based product features categorization method is proposed. Opinion words in context...
In this paper, we investigated the use of gene coexpression network analyses to identify potential biomarkers for breast carcinoma prognosis. The network mining algorithm CODENSE is used to identify highly connected genome-wide gene co-expression networks among a variety of cancer types, and the resulted gene clusters are applied to a series of breast cancer microarray sets to categorize the patients...
In this study, we developed a systematic method to find risk alleles and relative gene for rheumatoid arthritis (RA). The method consists of three steps: 1) genome-wide case-control association studying based on haplotypes; 2) genome-wide association mapping based on directly mining haplotypes produced from case-control data via a density-based clustering algorithm; 3) candidate genes within 1 Mb...
In this paper, a top-down search grid based algorithm is proposed to search all subspace that may contain clusters. Different from bottom-up search grid algorithms, the new approach starts from high-level subspace to low-level subspace, avoiding a lot of useless computation. Active spaces and grids are introduced to prune the search space, which reduces searching candidates dramatically. A new filter...
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