Unprecedented amounts of multidimensional array data are currently being generated in
many fields. These multidimensional array data naturally and efficiently fit into the array data …

A top-k dominating query returns k data objects that dominate the highest number of data
objects in a given dataset. This query provides us with a set of intuitively preferred data, thus …

Sorted list is widely used to feature indexing in a variety of applications, such as multimedia
database and information retrieval. Answering top-k aggregation queries on a set of lists …

Due to the recent massive data generation, preference queries are becoming an
increasingly important for users because such queries retrieve only a small number of …

As we are in the big data era, techniques for retrieving only user-desirable data objects from
massive and diverse datasets is being required. Ranking queries, eg, top-k queries, which …

With the increase of data generation in distributed fashions such as peer-to-peer systems
and sensor networks, top-k query processing which is a way to aggregate only a small set of …

Top-k queries, which retrieve k data items with the best score, have been receiving
considerable attention because they can support many real life applications. In this paper …

Skyline queries produce the tuples which arepromising'on the dimensions of the user's
interest. The popular datasets often get queried by the users where dimensions of the user …

In this paper, we propose a method that fully combines top-k query processing with
replication strategy in mobile ad hoc networks (MANETs). The goal is to acquire perfect …

This article addresses the top-k query processing problem on mobile ad hoc networks
(MANETs). Top-k query processing is common to retrieve only highly important data items …