SPMF offers a graphical user interface (GUI), a command-line interface (CLI), and a server for alternatively running data mining algorithms through REST queries from a Python or Web client. SPMF can ...

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...

Automated gesture recognition (GR) is applied to present feedback in a computerized learning environment for practising sign language (SL) knowledge for the deaf community. Globally, dumb and deaf ...

1 School of Mechatronic Engineering, Mechanical Engineering, China University of Mining and Technology, Xuzhou, China. 2 Department of Manufacturing Engineering and Management, University of ...

The FP-Growth (Frequent Pattern Growth) algorithm is a breakthrough in association rule mining, offering a faster and more memory-efficient alternative to the Apriori algorithm. By eliminating the ...

As the realm of Financial Planning and Analysis (FP&A) continues to evolve, so does the demand for more advanced tools that enable professionals to deliver deeper insights from data. Excel has long ...

Road networks are the foundation of economic development 1, a good transport system can meet people ’s travel needs, business and industrial development. However, these highways face challenges from ...

eDepartments of Physiology and Clinical Neurophysiology, BABA Center, Paediatric Research Center, Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland In ...

Globally, the prevalence of mental health problems, especially depression, is at an all-time high. The objective of this study is to utilize machine learning models and sentiment analysis techniques ...

Random Forests (RFs) are among the most successful machine-learning algorithms in terms of prediction accuracy. In many domain problems, however, the primary goal is not prediction, but to understand ...