The past decade has been characterized by the growing volumes of data due to the
widespread use of the Internet of Things (IoT) applications, which introduced many …

In this paper we present the Slim-tree, a dynamic tree for organizing metric datasets in
pages of fixed size. The Slim-tree uses the “fat-factor” which provides a simple way to …

An important problem in accessing and retrieving visual information is to provide efficient
similarity matching in large databases. Though much work is being done on the …

Many recent database applications need to deal with similarity queries. For such
applications, it is important to measure the similarity between two objects using the distance …

Автоматизация технологически сложных процессов в машиностроении, энергетике,
транспорте, медицине, строительстве, а также создание новых продуктов и сервисов …

DBSCAN is a classic clustering method for identifying clusters of different shapes and isolate
noisy patterns. Despite these qualities, many articles in the literature address the scalability …

In recent years, the number of sensor and actuator nodes in the Internet of Things (IoT)
networks has increased, generating a large amount of data. Most research techniques are …

This chapter describes several methods of similarity search, based on metric indexing, in
terms of their common, underlying principles. Several approaches to creating lower bounds …

The processing of data streams in general and the mining of such streams in particular have
recently attracted considerable attention in various research fields. A key problem in stream …

In this work we introduce a new method for indexing 3D models. This method is based on
the characterization of 3D objects by a set of 7 characteristic views, including three …