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Roger Cornejo
Published: 7 December 2018
Dynamic Oracle Performance Analytics pp 91-105; doi:10.1007/978-1-4842-4137-0_6

Abstract: Feature selection, which was discussed in the last chapter, is a powerful component of the DOPA process. It enables the tuning analyst to quickly identify areas of the database that are performing outside of normal. The metrics with a high incidence of flagged values are assumed to have a high predictive value of pointing to the problem area. And this is definitely true in my experience. While the feature selection/flagging process is sufficient by itself to solve many problems, I learned another analytics “trick” from my son that enabled me to take my analysis one step further. The concept I brought into the analysis is that of taxonomy.
Keywords: DOPA / son / Enabled / chapter / Sufficient / Take / Flagged / Brought / trickâ / selection/flagging

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