The development and application of data mining algorithms requires the use of powerful
software tools. With challenges such as big data encountered in economy or gene …

Background: Change of handwriting can be an early marker for severity of Parkinson's
disease but suffers from poor sensitivity and specificity due to inter-subject variations. Aim …

This work addresses recent developments for solving problems in process systems
engineering based on machine learning algorithms. A general description of most popular …

Background: The application of machine learning (ML) tools (MLTs) to support clinical trials
outputs in evidence-based health informatics can be an effective, useful, feasible, and …

Mining interesting itemsets with both high support and utility values from transactional
database is an important task in data mining. In this paper, we consider the two measures …

本文重点分析了面向类脑智能, 人工智能, 深空探测, 网络安全和高效能量转化等尖端科技领域中
前沿新材料产业的基础能力现状与问题. 面向2025 年和2035 年的阶段性发展规划 …

With the growth of data mining and machine learning approaches in recent years, many
efforts have been made to generalize these sciences so that researchers from any field can …

Mining Software Repositories (MSR) has opened up new pathways and rich sources of data
for research and practical purposes. This research discipline facilitates mining data from …

The aim of this report is to evaluate “e-formalization” in European countries. To tackle
informality, the lockdown and physical distancing measures resulting from the COVID-19 …

This Modern Guide presents a comprehensive synthesis of contemporary thought on the
informal economy, which, as the author demonstrates–far from being a peripheral feature of …