Abstract: The main purpose of data mining is to discover hidden and valuable knowledge from data. The Apriori algorithm is inefficient due to bulky deals of searching in a dataset. Bearing this in ...

Version 8.0 has been released. Get it here or with Docker. This release adds the capability to use pre-trained scikit-learn, Keras or REST API based models with Qlik. More on this here. Qlik's ...

Eaton Corp. is a $23.2 billion manufacturer of power management products for a variety of markets, including aerospace, buildings, data centers, automotive and utilities. Headquartered in Dublin, ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

The exploration of important biomarkers associated with cancer development is crucial for diagnosing cancer, designing therapeutic interventions, and predicting prognoses. The analysis of gene ...

This paper develops a digital watermarking algorithm using an informed watermark retrieval architecture. The developed method uses the fractional Fourier transform to embed the watermark in the ...

Apriori is a Join-Based algorithm and FP-Growth is Tree-Based algorithm for frequent itemset mining or frequent pattern mining for market basket analysis. Apriori and FP-Growth are two fundamental ...

In the background of the information age, the importance of data resources can be imagined, and the importance of the use of data resources means—data mining has also emerged. In the current situation ...