We live in a data-driven information-rich digital era where businesses witness new technical terms and concepts from time to time. Now that more businesses are adapting to Artificial Intelligence and Machine Learning, there are tons of possibilities for Big Data and Data Analytics to show wonders. Data is a crucial tool; however the more data available, the longer it takes for organizations to gain insights. This is why businesses need Data mining. Data mining opens various opportunities for business since it has descriptive and predictive powers.

Have you heard that SAS offers a collection of new, high-performance CAS procedures that are compatible with a multi-threaded approach? The free e-book Exploring SAS Viya: Data Mining and Machine Learning is a great resource to learn more about these procedures and the features of SAS Visual Data Mining and Machine Learning. Download it today and keep reading for an excerpt from this free e-book! In SAS Studio, you can access tasks that help automate your programming so that you do not have to manually write your code. In this blog post, you will learn the syntax for two of the new, advanced data mining and machine learning procedures: PROC TEXTMINE and PROCTMSCORE.

The rich worlds created in the TV series Game of Thrones (GoT) inspired a computer science class at the Technical University of Munich (TUM) in Germany: As part of their class project, the students developed applications that scour the web for data on Game of Thrones and crunch the numbers. Then they put together a website that reports which characters are most likely to die in the upcoming sixth season of the TV series. Just ahead of the kickoff for season six, the students have implemented a project that answers questions preoccupying fans of the series: Has Jon Snow survived season five? Who is going to die next? The students used an array of machine learning algorithms to answer these questions. The algorithm, which accurately predicted 74 percent of character deaths in the show and books, has many surprises in store, placing a number of characters thought to be relatively safe in grave danger.

HBO's Game of Thrones is notorious for killing off its major characters in various grisly ways, but it is often impossible to predict who will die next - unless you're an AI algorithm, it seems. Researchers at the Technical University of Munich (TUM) have put together a set of machine learning algorithms, which trawl through data from the books and TV show in order to predict who will be next for the chop. The team have set up a website - A Song of Ice and Data - where you can look over the list of most likely deaths, as well as looking at more in-depth statistics, such as whether men, women, lords or lowborn are more likely to die. The top two entries might not come as a surprise to many; toddler-king Tommen Baratheon has a 97 per cent probability of croaking, while there's a 96 per cent chance that his quasi-uncle Stannis Baratheon will be off to meet the Lord of Light this season. Some predictions are more surprising.