Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

One of the main contributions of big data tools to national security is in the domain of intelligence processing. Classification ... risk suspicious activity. Clustering refers to grouping objects ...

Operations on the RDDs can also be split across the cluster and executed in a parallel ... Ian Pointer is a senior big data and deep learning architect, working with Apache Spark and PyTorch.

Increasingly, organisations are using data classification to track information ... “There are two big drivers for this. The first driver is a positive one, where organisations are keen to ...

Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. Organisations also need to ...

This framework integrates the classical self-organizing feature map (SOM) neural network with the powerful capabilities of quantum computing, enabling efficient data clustering in an unsupervised ...

Clustering was performed by combining Uniform ... Effective and standardized classification and prognostication systems on the basis of multimodal data analysis are crucial to improve the ...

Aim To evaluate whether isometric strength tests were valid for the purposes of classifying wheelchair racers and whether cluster analysis of the strength measures produced a valid classification ...