In this paper, for the first time, we introduce the concept of Reverse Skyline Queries. At first,
we consider for a multidimensional data set P the problem of dynamic skyline queries …

Geographic objects associated with descriptive texts are becoming prevalent. This gives
prominence to spatial keyword queries that take into account both the locations and textual …

User-based and item-based collaborative filtering (CF) methods are two of the most widely
used techniques in recommender systems. While these algorithms are widely used in both …

Learning class-imbalance data has become a challenging task in machine learning.
Oversampling is an effective way to achieve rebalancing between classes by generating …

This paper introduces a new data structure, called simplex tree, to represent abstract
simplicial complexes of any dimension. All faces of the simplicial complex are explicitly …

Nowadays, the need to techniques, approaches, and algorithms to search on data is
increased due to improvements in computer science and increasing amount of information …

A Reverse k-Nearest-Neighbor (RkNN) query finds the objects that take the query object as
one of their k nearest neighbors. In this paper we propose new solutions for evaluating …

Uncertain data are inherent in various important applications and reverse nearest neighbor
(RNN) query is an important query type for many applications. While many different types of …

In order to establish consolidated standards in novel data mining areas, newly proposed
algorithms need to be evaluated thoroughly. Many publications compare a new proposition …

This paper presents a novel algorithm for Incremental and General Evaluation of continuous
Reverse Nearest neighbor queries (IGERN, for short). The IGERN algorithm is general as it …