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Software has been changing during its whole life cycle. Therefore, identification of source code changes becomes a key issue in software evolution analysis. However, few current change analysis research focus on dynamic language software. In this paper, we pay attention to the fine-grained source code changes of Python software. We implement an automatic tool named PyCT to extract 77 kinds of fine-grained...
Data mining is a challenge for end-users, which requires knowledge and skills on business domains, data mining algorithms and software development. In response to the challenge, we have proposed, designed and implemented a novel data mining system named RFDM (RHadoop-based Fuzzy Data Mining), which supports fuzzy data mining process and experience with user convenience and reduced cost. The system...
To protect sensitive information in mined data, researchers need a way to organize a variety of ongoing work. The Rampart framework categorizes protection approaches and encourages interdisciplinary solutions to the growing variety of privacy problems associated with knowledge discovery from data.
The growing popularity and development of data mining technologies bring serious threat to the security of individual,’s sensitive information. An emerging research topic in data mining, known as privacy-preserving data mining (PPDM), has been extensively studied in recent years. The basic idea of PPDM is to modify the data in such a way so as to perform data mining algorithms effectively without...
The digitization of books can not only provide a electronic way to read but also make it possible to establish information systems via information extraction and correlation. This paper proposed a new approach that build up a traditional Chinese medicine (TCM) diagnosis system by extracting information from textbooks. First of all, we design a semantic ontology which can achieve targeted and precise...
Virtual users with high quality are the preconditions to ensure the effect of load testing for Web applications. The existed tools for load testing usually generate virtual users with randomly choosing user sessions, manually generating user sessions or mining Log files, which causing such problems as non-real workload, subjectivity or difficult to update. Therefore we set each virtual user with a...
If environments offering facilities for service composition are to be commercially successful then it will be important that service providers can avail of efficient, automated processes by which composed services can be metered, charged and billed for. In many industries, for example telecommunications, sophisticated systems are employed to provide usage and content based charging for services. In...
A novel loop selection framework with cost evaluation to boost thread level speculation (TLS) parallelism in chip multiprocessor (CMP) systems is proposed in this paper. In order to improve the performance, a loop selection framework with the aid of TLS and profiling is added to reduce unnecessary loops parallelization for their low gains even losses under parallelization. A number of techniques for...
Based on the zero correlation zone (ZCZ) concept, we present the definition and properties of a set of new triphase coded waveforms -ZCZ sequence-pair set (ZCZPS) in this paper and propose a method to use the optimized punctured sequence-pair along with Hadamard matrix construct the optimized punctured ZCZ sequence-pair set (optimized punctured ZCZPS). According to property analysis under the Doppler...
For large and complex composite Web services which are composed by BPEL and a set of WSDL and XSD documents, we urgently need the aid of the tools in designing and selecting test cases. However, most of mature testing tools which generate test data with the information of WSDL are used for single service while the research for composition remains in the realm of theory. So we apply the theory of data-flow...
Image summarization is to determine a smaller but faithful representation of the original visual content. In this paper, we propose a context saliency based image summarization approach, incorporating statistical saliency and geometric information as the importance measurement instead of visual saliency. To ensure image summaries to be adaptive to target device under perception constraint, we present...
This paper proposes a new approach for tackling the multi-attribute decision making problems under uncertainty or the decision makerpsilas imprecise judgment environment. In this paper fuzzy grey relational analysis for multi-attribute decision making is extended to fuzzy environment. A new algorithm for fuzzy grey relational analysis for the evaluation of information technology outsourcing service...
Multiple criteria decision modeling is proposed for determining the most preferred bidding markup in a competitive bidding situation. This paper presents a new evaluation approach - VIKOR method - to solve the MCDM (multiple criteria decision making) problems with conflicting criteria or criteria of different units. Since this method provides a maximum "group utility" of the "majority"...
In this paper, an intelligent system is featured by both its abilities of interpreting what are observed via discovering knowledge about the world it survives, and its problem solving skills of handling each issue encountered in the world. Correspondingly, the abilities and skills are obtained by two types of learning via evidences or data from the world. Due to noises in observation and a finite...
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