Tag: data mining

A systematic scoping review of 29 empirical studies maps how machine learning, robotics, and immersive digital tools are transforming early ...

A new algorithm called Dynamic Sub-Sequence Warping improves the speed and accuracy of time series classification by using a representation-based ...

Researchers have introduced a new computational framework called K-GA-PSO++, designed to enhance the quality and efficiency of clustering algorithms.

The study, conducted by Salah ElDin Olaymi, investigated the application of data mining tools within cloud environments, focusing on customer ...

A new framework called PoAC allows users to define specific clustering goals, outperforming traditional AutoML methods in visualization and anomaly ...

Researchers have developed ALPACA, an open-source visual data mining system that integrates multi-omics abundance with subcellular localization to pinpoint cancer-associated ...

SRAminer searches up to one million SRA runs at a time and reconstructs genes and genomes from target-matched reads, identifying ...

A validated 19-item scale measures university students' attitudinal readiness for digital transformation, with data mining identifying two distinct readiness profiles.

Researchers report a neighbor contrastive learning method that fills missing data views by transferring neighbor relationships and improves clustering accuracy ...

Researchers have introduced a likelihood-driven grid search that automatically selects disagreement weights for boolean matrix factorization and correlation clustering, improving ...