The increment of computer technology use and the continued growth of companies have
enabled most financial transactions to be performed through the electronic commerce …

Abstract Data Mining and Knowledge Discovery in Databases (KDD) is a research field
concerned with deriving higher-level insights from data. The tasks performed in that field are …

The prediction of interactions in protein networks is very critical in various biological
processes. In recent years, scientists have focused on computational approaches to predict …

Перед вами один из самых интересных учебников по машинному обучению–разделу
искусственного интеллекта, изучающего методы построения моделей, способных …

The goal of this paper is to build a system that automatically creates synthetic data to enable
data science endeavors. To achieve this, we present the Synthetic Data Vault (SDV), a …

Abstract Linked Open Data has been recognized as a valuable source for background
information in data mining. However, most data mining tools require features in propositional …

As one of the most comprehensive machine learning texts around, this book does justice to
the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's …

Many real-world applications produce networked data such as the world-wide web
(hypertext documents connected via hyperlinks), social networks (for example, people …

Rules–the clearest, most explored and best understood form of knowledge representation–
are particularly important for data mining, as they offer the best tradeoff between human and …

A key challenge for machine learning is the problem of mining richly structured data sets,
where the objects are linked in some way due to either an explicit or implicit relationship that …