Tags » Data Mining

Pharmaconservation: back to the future

Recycling old drugs is not new.  Clinicians quite often prescribe treatments with drugs that are “off label”, that is, proven for other conditions. Up to one-fifth of all available drugs are prescribed off-label. 350 more words



Can you cite an example in real-life where we might have to make use of the median value, instead of the mean?

In most real-life situation, we make use of the mean and average value to predict an unknown variable e.g., in a roll of six dices the likelihood of any number in the dice appearing is 1/6. 528 more words


Predictive analytics, machine learning, and child welfare risk assessment: questions remain about Broward study

On November 30, a major child welfare publication reported on a new study, published in the respected journal Children and Youth Services Review, that tested Broward County, Florida’s child welfare decision-making model against a model that was derived using the new techniques of data mining and supervised machine learning. 1,312 more words

Child Welfare

Leaving Facebook

Leaving Facebook has been on my mind for years. I have deactivated my account twice, and was brought back for one reason or another. The scariest thing I have learned through the few times I have left Facebook was the dependency on it. 514 more words


Market Basket Analysis

Market Basket Analysis or association rules mining are useful techniques to gain insights in transactional data sets and can be useful for product recommendation.

In this post, I am going to talk about Market Basket Analysis (MBA). 596 more words

Machine Learning

Customer Segmentation using KMeans

Customer segmentation is the practice of dividing a company’s customers into groups that reflect similarity among customers in each group. The goal of segmenting customers is to decide how to relate to customers in each segment in order to maximize the value of each customer to the business. 768 more words

Machine Learning