Working Paper ENGLISH ONLY UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE (UNECE) CONFERENCE OF EUROPEAN STATISTICIANS EUROPEAN COMMISSION STATISTICAL OFFICE OF THE EUROPEAN
نویسنده
چکیده
They are three principal ways to deal with a secondary cell suppression problem in τ -Argus. The Hypercube algorithm gives a fast solution that may cause overprotection. The Optimal method solves a problem of Mixed Integer Linear Programming and the Modular approach enables to find more quickly a near-optimal solution for hierarchical tables. This paper discusses the advantages and disadvantages of these three methods in terms of quality and usability. It carefully examines the time needed by algorithms to converge against the loss of information contained in suppressed cells. Typical cases are tested on real data sets: one single explanatory variable, two hierarchical variables, sets of linked tables. . . Some guidelines are then proposed to find the best trade-off between quality of released data and time consumption. This paper concludes with the expected evolution of SDC software and what it will involve about the choice of a secondary cell suppression method.
منابع مشابه
Working Paper ENGLISH ONLY UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE (UNECE) CONFERENCE OF EUROPEAN STATISTICIANS EUROPEAN COMMISSION STATISTICAL OFFICE OF THE EUROPEAN
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تاریخ انتشار 2013