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 …

Data mining is the discovery of meaningful information or unrevealed patterns in data.
Traditional data‐mining approaches, using statistical calculations, machine learning …

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

Fulfilling occupants' comfort whilst reducing energy consumption is still an unsolved problem
in most of tertiary buildings. However, the expansion of the Internet of Things (IoT) and …

Outlier detection in the preprocessing phase of Knowledge Discovery in Databases (KDD)
processes has been a widely researched topic for many years. However, identifying the …

Achieving a comfortable thermal situation within buildings with an efficient use of energy
remains still an open challenge for most buildings. In this regard, IoT (Internet of Things) and …

In the last 30 years two important fields were born and have developed rapidly: knowledge
discovery and knowledge management based on semantics. In the present chapter we …

Context. The task of automating the construction of domain dictionaries in the process of
implementing software projects based on the analysis of documents, taking into account …

Software intensive systems are developed to provide solutions in some problem domain and
software engineering principles are employed to develop and implement that system …

Метод. Пропонується модель короткого документа, яка представляє його у вигляді
трьох частин: заголовної, змістовної та заключної. У заголовній і заключній частинах …