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General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Prof. Dr. Steve Thatcher
QUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

IJIET 2015 Vol.5(8): 557-563 ISSN: 2010-3689
DOI: 10.7763/IJIET.2015.V5.568

Uncertainty Handling in a Tabular Representation

Yiping Li, Jianwen Chen, and Ling Feng
Abstract—Nowadays a lot of uncertainty appears due to the burst of data on the internet. This challenges the traditional data processing methods because of its volume and variety. Such uncertainty is hard to be represented in simply continuous distribution functions when it is too hard or complicated to be obtained. Considering the realistic situations that people may be interested in queries falling into a scope rather than a specific value, we present a new data model, called N-DB model, where the attribute value is represented with a tabular form in an increasing order, denoted N-table (i.e., a set of ordered pairs). This model can deal with queries in a scope efficiently, such as “movies with reputation level bigger than 5”. We modify the relational algebra, including the aggregation query, and show the query processing in a running example. We also define an uncertain measurement (a-precision) to measure the precision and information of the N-table, which can be used in the computation of precision requirements. Through experimental results, we find queries can be evaluated efficiently by searching in the N-tables, and are returned with confidence intervals.

Index Terms—Uncertainty handling, uncertain databases, queries.

The authors are with Tsinghua University, Beijing 100084, China (e-mail: liyp09@tsinghua.edu.cn).


Cite: Yiping Li, Jianwen Chen, and Ling Feng, "Uncertainty Handling in a Tabular Representation," International Journal of Information and Education Technology vol. 5, no. 8, pp. 557-563, 2015.

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