Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...

Data clustering is the process of placing data items into groups so that items within a group are similar and items in different groups are dissimilar. The most common technique for clustering numeric ...

Indexes are fundamental to database performance, but too often, they’re treated as “set it and forget it” structures. As the data landscape evolves—with hybrid cloud deployments, real-time analytics, ...

The Nasdaq Yewno Global Artificial Intelligence and Big Data Index® (NYGBIG®) is designed to track the performance of companies that are involved in Big Data, Cybersecurity, Cloud Computing, Deep ...