The maximal vector problem is to identify the maximals over a collection of vectors. This
arises in many contexts and, as such, has been well studied. The problem recently gained …

Preferences have been traditionally studied in philosophy, psychology, and economics and
applied to decision making problems. Recently, they have attracted the attention of …

The manipulation of databases is an integral part of a world which is becoming increasingly
and pervasively information-focused. This book puts forward a suggestion to advocate …

The last decade has witnessed an increasing interest in expressing preferences inside
database queries. Even though most of the work has been devoted to relational databases …

The paper presents a new approach to database preference queries, where preferences are
represented in a possibilistic logic manner, using symbolic weights. The symbolic weights …

The paper presents a new approach to database preferences queries, where preferences
are represented in a possibilistic logic manner, using symbolic weights. The symbolic …

Skyline queries are a well-known technique for explorative retrieval, multi-objective
optimization problems, and personalization tasks in databases. They are widely acclaimed …

With the advent of multicore processors, it has become imperative to write parallel programs
if one wishes to exploit the next generation of processors. This paper deals with skyline …

The trend towards in-memory analytics and CPUs with an increasing number of cores calls
for new algorithms that can efficiently utilize the available resources. This need is particularly …

This paper studies the problem of computing the skyline of a vast-sized spatial dataset in
SpatialHadoop, an extension of Hadoop that supports spatial operations efficiently. The …