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Creating Values from a Noisy Accumulated Contents Based on Data Analysis

Affiliations

  • NTIS Center, Korea Institute of Science and Technology Information, Daejeon, 305-806, Korea, Republic of

Abstract


The contents of the information system play a major role to user services. The quality of contents not only depends on the accuracy and availability but also depend on the depth of the information. As the size and the quality of the information item increases, the need to create meaningful analyzed data also increases. But it is not easy to extract valuable information from the unfiltered noisy data. Using these accumulated data, we want to add valuable information based on data analysis. With a preliminary validation of data items in a preparation step, we found that about 70% of data items could be used as a source of getting statistics. After applying time series analysis, correlation analysis between data items and regression analysis we found some informative relations between the data items. These value added information could be added to the original data set as a source of another analysis.

Keywords

Analysis, Regression, Relation, Time-Series.

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