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Various clustering algorithms have been developed to group data into clusters in diverse domains. However, these clustering algorithms work effectively either on pure numeric data or on pure categorical data, most of them perform poorly on mixed categorical and numeric data types. In this paper, a new two-step clustering method is presented to find clusters(More)
Sequence alignment lies at heart of the bioinformatics. The Smith-Waterman algorithm is one of the key sequence search algorithms and has gained popularity due to improved implementations and rapidly increasing compute power. Recently, the Smith-Waterman algorithm has been successfully mapped onto the emerging general-purpose graphics processing units(More)
The Fuzzy-Go search engine develops a fuzzy ontology to capture the similarities of terms in the ontology for accomplishing the semantic search of keywords, a web crawler to gather and classify web pages, and a fuzzy search mechanism to aggregate all fuzzy factors based on their degrees of importance and degrees of satisfaction. In this paper, we apply the(More)
CLIPS is a non-algorithmic language designed especially for developing expert systems. To address the problem that CLIPS suffers from long execution time because of the characteristics of rule-based language, previously we have proposed a Grid-enabled parallel CLIPS language and a dynamic load balancing programming model that can parallelize the execution(More)
To explore the mechanism of protein stability change is one of the important topics in protein design. The accurate prediction of protein stability change upon mutation is very useful for enhancing the experimental efficiency in many biological and medical studies. In this work, we aimed at effectively introducing data mining technologies for investigating(More)
Predicting protein mutant stability changes is important for protein design. Many methods have tried to improve prediction accuracy by various models. However, it will be difficult to employ them when the required input information is incomplete. This paper presents a fuzzy query method (named FQ-STAB), which cooperates with a humanreadable rule base to(More)
Predicting protein mutant stability changes is important for protein design. Although many methods have tried to improve prediction accuracy by various models, it will be difficult to employ them when the required input information is incomplete. Therefore, we have proposed a fuzzy query method previously to predict stability changes upon single mutations(More)
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