Countering Data Miss Usability Using Record Distinguishing Factors

Assigning a measurability weight to a given dataset is strongly related to the way the data is presented (e.g., tabular data, structured or free text) and is domain specific. The authors define misusability assessment data events in real time data records present in domain expert with publishing data with other users. Records Ranking [LR] handles unknown values well with an assumption is made that the relationships between the attributes and the dependent variable are linear. In this paper, they propose to develop Angular Metric for Shape Similarity (AMSS) for calculating the individual misusability score in reliable data record with different users.

Provided by: International Journal for Development of Computer Science & Technology (IJDCST) Topic: Big Data Date Added: May 2014 Format: PDF

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