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

 

  • A Project-Based Case Study of Data Science Education

    Turek, Daniel; Suen, Anthony; Clark, Dav (2016)

    Disparity of Imputed Data from Small Area Estimate Approaches – A Case Study on Diabetes Prevalence at the County Level in the U.S.

    Chien, Lung-Chang; Lin, Ge; Li, Xiao; Zhang, Xingyou (2018)
    This paper assesses concordance and inconsistency among three small area estimation methods that are currently providing county-level health indicators in the United States. The three methods are multi-level logistic regression, spatial logistic regression, and spatial Poison regression, all proposed since 2010. Diabetes prevalence is estimated for each county in the continental United States from the 2012 sample of Behavioral Risk Factor Surveillance System. The mapping results show that all...

    A Mexican case study on a centralised database from world natural history museums

    Navarro S, Adolfo G; Peterson, A. Townsend; Gordillo-Martínez, Alejandro (2015)
    The present contribution is a case study of the possibilities of using data from world scientific collections to understand the distribution and conservation of Mexican birds. Information was gathered on specimens from Mexico housed in 40 scientific collections in Mexico, the United States, Canada, and Europe. This information was compiled in a centralized database and various analyses were developed to address historical patterns of ornithological investigations in Mexico: current and potent...

    Shapelet Classification Algorithm Based on Efficient Subsequence Matching

    Wang, Huiqing; Li, Chun; Sun, Hongwei; Guo, Zhirong; Bai, Yingying (2018)
    Shapelet classification algorithms are an accurate classification method for time series data. Existing shapelet classifying processes are relatively inefficient and slow due to the large amount of necessary complex distance computations. This paper therefore introduces piecewise aggregate approximation(PAA) representation and an efficient subsequence matching algorithm for shapelet classification algorithms; the paper also proposes shapelet transformation classification algorithm based on ef...

    The State of Assessing Data Stewardship Maturity – An Overview

    Peng, Ge (2018)
    Data stewardship encompasses all activities that preserve and improve the information content, accessibility, and usability of data and metadata. Recent regulations, mandates, policies, and guidelines set forth by the U.S. government, federal other, and funding agencies, scientific societies and scholarly publishers, have levied stewardship requirements on digital scientific data. This elevated level of requirements has increased the need for a formal approach to stewardship activities that s...
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