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It is important to note that the difficulties surrounding scalable analytics in the context of the imaging methods insofar discussed extend far beyond the need for task-based and data-based parallelism.
Table 1 An illustration of a possible application of AKAAS and Knowledge Analytics in the context of cloud customers Knowledge Processes K-Analytics Benefits Capturing/Creating Knowledge □ Search query/search logs data analysis (text mining & clustering) □ Identification of knowledge needs and services requirements □ What has been created?
I think there is actually very little downside to using predictive analytics in the context of prevention.
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The most important aspect of visual analytics in this context lies in data aggregation, filtering and the creation of meaningful summaries to allow researchers to extract the few important associations with clinical significance from the enormous amount of input data.
Obtaining analytics in this context can help can business owners predict demand in dynamics for their business and therefore plan better the provision of services to their customers.
It's within those relationships that we try to drive data and decision making using predictive analytics in that context.
The matched eigenfunction expansion method is applied to obtain the analytic solutions in the context of linear potential theory with porous boundary conditions.
Consequently we have focused attention on demonstrating our novel analytic strategies in the context of identifying individual genes that contribute strongly to distinctive etiologies.
This systematic, three-step approach to predictive analytics was evaluated in the context of predicting CHF readmission within a tertiary academic medical center.
The importance of an understanding social environment, including the partner, for coping with IBD has been repeatedly observed in studies using analytic interviews, foremost in the context of adjustment to an ostomy [ 26].
By answering this question the study aims to better understand the relationship between analytics and big data in the context of manufacturing.
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