The techniques described herein are directed to identifying data quality issues within information stored across multiple different data sources. For instance, the data quality issues can comprise missing values, inconsistent values, and un-translated values. Once identified, the techniques implement ...
Concluding Remarks Institutionalizing user-producer collaboration is central to improve the relevance and quality of official statistics Engaging gender stakeholders in-house and externally is central to improving understanding of gender issues and quality of data Collaboration needs to be bi-directional, we...
On-line Microbial Monitoring This case study explains how a leading biotechnology company was immediately able to identify the issues of its water system and to bring it back unde... 製程檢測分析 pH值/ORP(氧化還原)探針;氧氣、二氧化碳、臭氣感測器;生物負荷、總有機碳、氣體、鈉、矽與氯化物/硫酸...
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and inconsistent data formats remain significant challenges. In addition, busy adjusters are being asked to spend more and more time inputting data which is taking away from their primary function as claim professionals. Addressing these issues is essential to unlocking the full potential of analytics...
This dissertation reports results which pioneered the novel application of wavelets to processes and issues critical to semiconductor manufacturing. This work is especially germane given: 1) the rising costs and complexity of manufacturi... EA Rying 被引量: 4发表: 2001年 ...
After 20 or more years of classroom research using recorded talk-data, many of the substantive as well as the methodological issues addressed by pioneers in the field remain only partially rn the climate of recent educational politics, carefully gathered insights have been marginalised, and impetus ...
There are several issues that could cause the inaccuracy in separating these groups: the complexity of the multi-group classification problem, the difficulty of high-dimensional biological measures in representing the clinical symptoms, and the inherent unreliability of the clinically determined diagnosis ...
to extend their impact within their research support role by helping to positively influence the quality, transparency and future usability of health research publications produced by the clinicians and researchers in their organisation and to contribute to tackling wider issues within biomedical research....
First, while an exhaustive search is more thorough (and thus more likely to find all poorly performing subgroups), it may find too many subgroups (e.g., have issues with redundancy) and it scales poorly. For the purposes of hypothesis generation and exploratory data analysis, an approach ...