Examples of using Data-mining in English and their translations into Indonesian
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Colloquial
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Ecclesiastic
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Ecclesiastic
Mabry conscripts the Horsemen into stealing the data-mining device developed by Case to prevent him from using it.
Groll uses a special technique in data-mining called random-forest.
Walter conscripts the Horsemen into stealing the data-mining device developed by Case to prevent him from using it.
Some data-mining software can be used to separate which players win consistently from those who lose consistently.
Zuckerberg was also grilled by the Senate concerning the Cambridge Analytica data-mining scandal that saw 87 million people's account credentials compromised.
It's best to be wary because there's a great deal of curve-fitting or data-mining bias in the made-for-purchase offerings.
The alarming interest of users all over the world in machine learning is due to the same factors that have made data-mining and Bayesian analysis more popular than ever.
investors contend that risk factor findings may be nothing more than data-mining.
can help traders avoid the issue of data-mining bias.
It is available as a stand-alone tool for data analysis and as a data-mining engine that can be integrated into your own products.
The decision tree method is one of the most common predictive modeling approaches used in statistics, data-mining and machine learning.
The technique allows the computer to analyze large amounts of data with a lower error rate than other data-mining techniques.
I changed my research from traditional data-mining to understanding how people experience the city.
I found out that up to 95% of all Windows computers currently online are plagued with data-mining, offline ad pop-ups,
By selectively mailing to the best-rated prospects determined by the data-mining model, Keystone generated $1.6M in new revenue from just three promotions.
let advertisers plug into it directly with their own data-mining and targeting software.
privacy advocates warn that this kind of data-mining could be used to aim at consumers vulnerable to predatory lending practices,
distributional assumptions, data-mining adjustments and transactions costs,
Data-mining bias is simply the process of cherry-picking the best backtest out of a hundreds
This has even led some to suggest that the data-mining giants have a responsibility to ensure that their resources are put to work for the benefit of humanity as a whole,