Anodot's approach to business intelligence (BI) is to use automated anomaly detection systems to discover the important signals in vast amounts of data noise, and to find the anomalies and correlate ...

Thomas Kuhn once wrote that scientific revolutions happen when enough anomalies appear. They are unsolvable and do not fit into current theoretical and empirical frameworks. Enough of these anomalies ...

Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from the majority of the source items. There are many different types of ...

The growth in data is, has and continues to be a topic that influences how much and what types of storage architectures, etc., are selected and for what applications. Besides determining the storage ...

If you are a modern database professional, you have likely heard about or looked into anomalies and how to detect them. At a very simple level, anomaly detection looks at historical values and ...

Yahoo Labs has created an algorithm to detect anomalies in data streams that could help marketers improve search campaigns. The company's scientists developed the technology to detect fewer false ...

Organizations today rely heavily on data to inform their decision-making processes at every level. However, the increasing complexity of data ecosystems poses a challenge: The data we rely on may not ...

The Census Bureau said it found “certain processing anomalies” during its analysis of data collected from 2020’s census, casting doubt on whether the bureau will meet its December deadline to submit ...

Opinions expressed by Entrepreneur contributors are their own. Thomas Kuhn once wrote that scientific revolutions happen when enough anomalies appear. They are unsolvable and do not fit into current ...

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...