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Category: Data Mining

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THE 10 DATA MINING TECHNIQUES DATA SCIENTISTS NEED FOR THEIR TOOLBOX

Data Mining – At their core, data scientists have a math and statistics background. Out of this math background, they’re creating advanced analytics. On the extreme end of this applied math, they’re creating machine learning models and artificial intelligence. Just like their software engineering counterparts, data scientists will have to interact with the business side.…
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How to use process Data Mining to improve DevOps. Here's how you can…

If the value of efficient business processes is obvious, it makes sense to us process data mining to improve DevOps. Here’s how you can… Process data mining shows specifics about processes and their effects, equipping DevOps professionals with the ability to recognise which changes should occur to help the team excel and avoid wasting resources…
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Top 15 Data Mining Techniques for Business Success

Data mining is the process of examining vast quantities of data in order to make a statistically likely prediction. Data mining could be used, for instance, to identify when high spending customers interact with your business, to determine which promotions succeed, or explore the impact of the weather on your business. Data mining principles have…
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THE EXAGGERATED PROMISE OF SO-CALLED UNBIASED DATA MINING

Data Mining – Nobel laureate Richard Feynman once asked his Caltech students to calculate the probability that, if he walked outside the classroom, the first car in the parking lot would have a specific license plate, say 6ZNA74. Assuming every number and letter are equally likely and determined independently, the students estimated the probability to be less…
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