Association rule mining is a very powerful tool for extracting knowledge from records
contained in industrial databases. A difficulty is that the mining process may result in a huge …

The characteristics of big data, including high volume, increased variety, and velocity, pose
special challenges for data analysis. As these characteristics generally preclude manual …

In this investigation data recorded from a flexible rolling process is processed by data driven
methods to develop a quality prediction model for manufactured blanks. A concept for an …

Deduplication is a key component of the data preparation process, a bottleneck in the
machine learning (ML) and data mining pipeline that is very time-consuming and often relies …

This paper presents a novel approach to optimizing semantic joinability in heterogeneous
data, leveraging embedding techniques and deep learning in the context of big data …

This chapter is written by a computer scientist and an artistic practitioner who embarked on a
discussion about the nature of heuristics in their respective fields of inquiry. Although …

The topic of this study was to provide a description of instruction identified and provided by
teachers of students with visual impairments. It was not known how teachers describe vision …

To enable the vision of precision medicine, evidence-based medicine is the key element.
Understanding the natural history of complex diseases like brain aneurysm and particularly …

The gap of the data scientist's role in the data lake repository architecture instigated
concerns in data treatment. The frictionless ingestion and the transformation delay triggered …

A study was conducted for the development of predictive models based on sequential
patterns identified through student activity logs in a virtual learning environment to rate …