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Clustering is an important field for making data meaningful at various applications such as processing satellite images, extracting information from financial data or even processing data in social sciences.
The challenge (and the opportunity) is making data meaningful and actionable.
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As the first company to extend loyalty programs beyond the traditional "spend and get" models, we're helping marketers account for customer value in a truly multi-channel world including mobile, social media, online and offline spend and more we're not just capturing more data, we're making data more meaningful for marketers.
An area that has received little attention in research is that of making data more meaningful and reducing the mental computational load of visual displays [ 9, 10].
Facebook needs to allow you to have followers to make this data meaningful.
Apart from these statistical test-based methods, other data mining techniques based on machine learning approaches (e.g. artificial neural networks) have also been applied to make SAGE data meaningful.
The Art of Data presents four artists who are pioneers in developing the visual language that makes data captivating, expressive and meaningful.
13 Because nearly 90% of the 189 condition categories each accounted for less than 1% of all readmissions, however, we consolidated related diagnoses in a shorter list of 30 modified condition categories to make data presentation more clinically meaningful (table C in appendix 1).
The key will be finding ways to make the data meaningful, rather than just overwhelming.
Arranging the Results Simply collecting loads of sequencing information, however, will not make the data meaningful.
In several wireless sensor network applications the availability of accurate nodes' location information is essential to make collected data meaningful.
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