The area of similarity searching is a very hot topic for both research and c-mercial
applications. Current data processing applications use data with c-siderably less structure …

The task of similarity search is widely used in various areas of computing, including
multimedia databases, data mining, bioinformatics, social networks, etc. In fact, retrieval of …

With the continued digitization of societal processes, we are seeing an explosion in
available data. This is referred to as big data. In a research setting, three aspects of the data …

Similarity search is a very important operation in multimedia databases and other database
applications involving complex objects, and involves finding objects in a data set S similar to …

Dynamic multiobjective optimization problems (DMOPs) require Evolutionary algorithms
(EAs) to track the time-dependent Pareto-optimal front (PF) or Pareto-optimal set (PS), and …

The matching of two-dimensional shapes is an important problem with applications in
domains as diverse as biometrics, industry, medicine and anthropology. The distance …

Effective and efficient retrieval of similar shapes from large image databases is still a
challenging problem in spite of the high relevance that shape information can have in …

Top-k queries based on ranking elements of multidimensional datasets are a fundamental
building block for many kinds of information discovery. The best known general-purpose …

We introduce a new probabilistic proximity search algorithm for range and A"-nearest
neighbor (A"-NN) searching in both coordinate and metric spaces. Although there exist …

This paper addresses the efficient processing of top-k queries in wide-area distributed data
repositories where the index lists for the attribute values (or text terms) of a query are …