Get started with Data Mining using RapidMiner Auto Model RapidMiner recently released their online data modeling tool called Auto Model. This product allows you to upload data and have RapidMiner build initial data models for you. Currently there are limited algorithms that are available, however, the tool is a great way to get started with RapidMiner and learning data science. Available algorithms: Decision Tree Naive Bayes Generalized Linear Model Logistical Regression Watch the our youtube video - Auto Model Titanic Example Try out the product - automodel.rapidminer.com
RapidMiner Conference Sponsor Come join me at RapidMiner Wisdom Conference on October 10-12, 2018 in New Orleans. CDO Advisors is proud to be a RapidMiner sponsor for this event. It should be a great few days of learning how to get the most from RapidMiner and apply it to business problems.
Reducing Call Center Churn Do you have a call center and want to keep your best employees from leaving? Want to know what traits of an employee make them most likely to leave? Apply call center predictive analytics to your employee data to determine why your employees are leaving. Hiring the wrong employee waste time and money. Focus on hiring the best candidates based on your historical employee data. Save money by reducing turnover and training cost on call center agents. Leverage contact center predictive analytics to reduce call center churn. Organizations that have many employees that are in high turnover positions such as call centers, sales teams, or temporary agencies. All of these roles could benefit from building models to determine why employees are leaving. Predicting employee churn using data mining and analytics can help to reduce and retain top talent. The impact of churn can be in both [...]
Sentiment Analysis of Tweets from SuperBowl LII Do you own a business and wonder what people aka customers are saying about your company? Using text mining and sentiment analysis enables you to uncover the words your customers are using and the positive or negative sentiment of those words. Text mining involves taking text from any source and breaking it down into the core words. Sentiment analysis then applies the score to the words from -1 (the worst sentiment) to 0 (neutral sentiment) to 1 (highest positive sentiment). The scores of all the words found create the overall sentiment for that encounter. To show this in action, I ran sentiment analysis on Tweets the day after SuperBowl LII (2/5/2018). In one example, someone tweeted "Congratulations Philadelphia SuperBowl champions". The word champion has a positive sentiment and has a positive sentiment score of .70. When you take all of the words in [...]
RapidMiner Market Basket One method to create a targeted cross selling model is to use historical customer information and apply the prediction to existing customers. In this example, I will be using fictitious customer account data for a financial institution such as a bank or credit union to create a RapidMiner Market Basket predictive model. The Marketing department wants to send out targeted mailing and phone call campaigns to customers most likely to need an auto loan. The available data includes information on each unique account along with flags that indicate use (1 used, 0 not used). Other fields count the number of inbound calls, late payments, or number of months as a customer. Sample Financial Data Fields Account ID 10. Holiday Club Indicator Account Origin Indicator [...]