Toward Quality Data An Attribute Based Approach
Toward Quality Data An Attribute Based Approach
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In our eReader you can find the full English version of the book. Read Toward Quality Data An Attribute Based Approach Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book Toward Quality Data An Attribute Based Approach
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To quickly assess the difficulty of the text, read a short excerpt:
Rather, the losses are always distributed in such a way that a small percentage of the quality characteristics, "the vital few, " always contributes a high percentage of the quality loss. As a result, the cost improvenrtent potential is 1 Computerworld, Sept«nib«r 28, 1992. P. 80-84.
2 Th€ WaU Slr*«t Joum*!, May 26, 1992, pagt B6.
3 )ust like the weil puWldzed coiKept of itw dtfect products m the manufactunng literittir*.
high for "the vital few" projects whereas the "trivial many" defects are ...not worth tackling because the cure costs more than the disease (Juran & Cryna, 1980). In sum, when the cost is prohibitively high, it is not feasible to attain zero defect data.
Given that zero defect data may not always be necessary nor attainable, it would be useful to be able to judge the quality of data. This suggests that we tag data with quality indicators which are characteristics of the data and its manufacturing process . From these quality indicators, the user can make a judgment of the quality of the data for the specific application at hand.
What to read after Toward Quality Data An Attribute Based Approach?
You can find similar books in the "Read Also" column, or choose other free books by Y Richard Yng Yuh Richard Wang to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
Rather, the losses are always distributed in such a way that a small percentage of the quality characteristics, "the vital few, " always contributes a high percentage of the quality loss. As a result, the cost improvenrtent potential is 1 Computerworld, Sept«nib«r 28, 1992. P. 80-84.
2 Th€ WaU Slr*«t Joum*!, May 26, 1992, pagt B6.
3 )ust like the weil puWldzed coiKept of itw dtfect products m the manufactunng literittir*.
high for "the vital few" projects whereas the "trivial many" defects are ...not worth tackling because the cure costs more than the disease (Juran & Cryna, 1980). In sum, when the cost is prohibitively high, it is not feasible to attain zero defect data.
Given that zero defect data may not always be necessary nor attainable, it would be useful to be able to judge the quality of data. This suggests that we tag data with quality indicators which are characteristics of the data and its manufacturing process . From these quality indicators, the user can make a judgment of the quality of the data for the specific application at hand.
What to read after Toward Quality Data An Attribute Based Approach?
You can find similar books in the "Read Also" column, or choose other free books by Y Richard Yng Yuh Richard Wang to read onlineMoreLess
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