Abstract Machine learning is a branch of artificial intelligence that allows software
applications to be more accurate in its data predicting, as well as to predict current …

Predicting students' performance during their years of academic study has been investigated
tremendously. It offers important insights that can help and guide institutions to make timely …

Real estate is complex and its value is influenced by many characteristics. However, the
current practice in Malaysia shows that historical characteristics have not been given …

In this study, we aim to assist real estate evaluators in avoiding serious errors during the
evaluation process due to carelessness or subjective biases. To achieve this, we primarily …

In recent years, web crawlers are widely used for collecting data from the Internet. However,
they cause many problems including QoS degrading of normal visits, inaccuracy of data …

Unit Pelaksana Teknis (UPT) Perpustakaan Universitas Lampung bertanggung jawab
terhadap pengarsipan karya ilmiah mahasiswa (skripsi). Pengarsipan dilakukan secara …

The real estate market in Türkiye has witnessed significant growth and complexity in recent
years necessitating advanced modelling techniques for accurate property price predictions …

Para esta memoria de título se trabajó con la inmobiliaria Aitué. Se propuso como objetivo
principal predecir la probabilidad de que un cotizante se convierta en cliente. Para lograr …

Finding the best effective data mining algorithms for use in clinical diagnostics is a time-
consuming process. The purpose of this research was to determine which predicted …

Estimating the price of home sales is a complex task, where broker texts describing the
housing is a vital part of the sales. This study explore the possibility to use broker texts to …