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As the study for the modernization of Traditional Chinese Medicine (TCM) is moving continuously forward, a growing bond exists between TCM and modern information processing technology. The determination of syndrome and the study for the compatibility of medicines in TCM are main parts of it. In this paper, we clustered syndromes of lung cancer patients according to the clinical based cases by adopting...
As the mechanism of the effective traditional Chinese medical science treatment remains confounding, researchers seek to analyze the therapies using traditional Chinese medicine (TCM) with advanced techniques. In this paper we take advantage of the technique of data mining with the software SPSS (Statistical Product and Service Solutions), in particular the Apriori algorithm for association rules...
Traditional methods for microarray datasets analysis often find the co-expression genes. However, these methods may miss the genes which are differential co-expression patters under different datasets. Mining these differential co-expression patterns is more valuable for inferring regulator. In this paper, we develop an algorithm, MSPattern, to mine maximal subspace differential co-expression patterns...
Biclustering is a methodology allowing for condition set and gene set points clustering simultaneously. Almost all the current biclustering algorithms find bicluster in one microarray dataset. In order to reduce the noise influence and find more biological biclusters, we propose an algorithm, FDCluster, to mine frequent closed discriminative bicluster in multiple microarray datasets. FDCluster uses...
Many of the previous studies show convincing arguments that mining frequent subgraphs is especially useful. Many hidden frequent patterns which are very interesting can not be found by mining single graph. Previous studies as Quasi-Clique have little success with the hub problem. In this paper, we introduce a new conception Correlated-Quasi-Clique and develop a novel algorithm, CoClique, to address...
The prediction of protein function is one of the most challenging problems in bioinformatics. Several studies have shown that the prediction using PPI is promising. However, the PPI data generated from high-throughput experiments are very noisy, which renders great challenges to the existing methods. In this paper, we propose an algorithm, MFC, to efficiently mine maximal frequent dense subgraphs...
According to the circulation process of financial indicators flow, data flow, capital flow involved in financial supervision work, based on the financial data center, designs a five-story architecture for the system including monitoring and analysis of budget preparation, monitoring and analysis of budget adjustments, monitoring and analysis of budget implementation, monitoring and analysis of accounts...
Microarray technology has created a revolution in the field of biological research. Association rules can not only group the similarly expressed genes but also discern relationships among genes. However, the efficiency of traditional method to generate association rules is not very well. We develop a novel algorithm, SAW, to generate strong association rules by combining the paired rules, which can...
The prediction of protein function is one of the problems arising in the recent progress in bioinformatics. A common used approach is to derive clusters from PPI dataset. However, such results often contain false positives. In this study, we propose a novel algorithm, EVDENSE, to efficiently mine frequent dense subgraphs from PPI networks. Instead of using summary graph, EVDENSE produces frequent...
On considering of the uncertainty road condition and the flexibility of the destination choice, one-destination evacuation (ODE) concept is proposed. Based on the concept of ODE, a virtual destination point is set onto the real evacuation network model, with virtual links leading from each real-world destination point to. This way, the optimal destination and route assignment can be determined by...
Previous works have projected that the peak performance of FPGAs can outperform that of the general purpose processors. However, no work actually compares the performance between FPGAs and CPUs using the standard benchmarks such as the LINPACK benchmark. We propose and implement an FPGA-based hardware design of the LINPACK benchmark, the key step of which is LU decomposition with pivoting. We introduce...
This paper makes a systematic study on disambiguating sentiment ambiguous adjectives within context in real text, which is an interaction between word sense disambiguation and sentiment analysis. We firstly address the issue of inter-annotator agreement on assigning semantic orientations to word occurrences in real text. Secondly we demonstrate that co-occurring sentiment monosemous adjectives can...
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