The objective is to determine whether a given data point fits an existing pattern or if it is an outlier or anomaly, and as a result find what fits with existing data and what doesn’t.

Pattern analysis makes for better image processing. Images on the right were compressed with the conventional JPEG format. Images on the left were reconstructed with a new technique that analyses ...

Predictive analytics is the process of using data to find patterns, trends and relationships. The purpose of predictive analytics is to solve a problem by using data to deepen our understanding and ...

Sumo Logic's answer combines machine learning and pattern recognition to detect anomalous events in your data. Organizations ... you can perform a search to find it. “CIOs don’t care about ...

A KAUST team is taking a creative, combined deep learning approach that uses data from multiple sources to teach algorithms how to find patterns between genes and diseases. Machine learning uses ...

A new study unearthed patterns in datasets collected on ... applied a fresh perspective to vast amounts of data on rice plants to find better ways to predict plant performance and new insights ...

Microsoft went a step further in Excel 2013 and created Flash Fill. This new feature recognizes patterns in your data and will finish tedious tasks for you. Produced by Sara Silverstein Follow BI ...

The BCC Project helps us all identify data-driven patterns that contributed to population ... realistic options for people of any income to find a place to live. Communities that are becoming ...

automates traditional police leg-work through machine learning to find patterns in crimes. “The existing process was a little bit time intensive,” Evan Levine, assistant commissioner of data ...