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Name
Data Science Journal
Type
Journal
Items
518 Publications
Compatibility
OpenAIRE 3.0 (OA, funding)
OAI-PMH
http://datascience.codata.org/jms/oai/

 

  • Preventing, Controlling, and Sharing Data of Arsenicosis in China

    The first case of arsenicosis was reported in China in the 1950s. That incident was associated with the so-called "black foot disease." In the late 1970s and early 1980s, arsenic specific coetaneous changes were diagnosed in the Xinjiang Autonomous Rregion and subsequently in the Inner Mongolia Autonomous Region and Shanxi Province. Recently, endemic arsenicosis was also found in Jilin, Ningxia, Qinghai, and Anhui Provinces. The prevalence of arsenicosis in China is becoming more and more ser...

    Discovering Imperceptible Associations Based on Interestingness: A Utility-Oriented Data Mining

    This article proposes an innovative utility sentient approach for the mining of interesting association patterns from transaction databases. First, frequent patterns are discovered from the transaction database using the FP-Growth algorithm. From the frequent patterns mined, this approach extracts novel interesting association patterns with emphasis on significance, utility, and the subjective interests of the users. The experimental results portray the efficiency of this approach in mining u...

    An Intelligent Control Hydropower System Based on Multi-Agent Theory

    In order to achieve the potential of existing power stations, increase the efficiency of waterpower, and change the running of power stations from an individual plant basis to centralization, many people have researched the automation of power stations over the years with excellent results. However, in reality there are no power stations that have been fully automated. This paper proposes a control system based on Multi-Agent Theory, including a management agent, communication agent, control ...

    Combining applications and remote databases view in a common SQL distributed genomic database

    Huge volumes of bioinformatics data are emerging from sequencing efforts, gene expression assays, X-ray crystallography of proteins, and many other activities. High-throughput experimental methods produce masses of data, so that the whole of biology has changed from a data-light science into a data-driven science. Currently there are a lot of databases and software tools dealing with these genomic data. In general, each tool and database uses a different type of data in exchange protocols, an...
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