A regret minimizing set Q is a small size representation of a much larger database P so that
user queries executed on Q return answers whose scores are not much worse than those on …

Efficient multi-criteria decision making often requires looking at a small set of representative
objects from a large collection. A recently proposed method for finding representative …

Retrieving relevant information in Big Data is a difficult task. Many approaches are used to
select highly relevant information. One of them is the Skyline operator, which is used to …

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 …

Analisis data logistik diperlukan untuk manajemen barang logistik secara efisin. Penelitian
ini bertujuan untuk menerapakan algoritma clustering yaitu K-Means untuk …

From a multidimensional dataset, a skyline query extracts the data which satisfy the multiple
preferences given by the user. The real challenge in skyline computation is to retrieve such …

Selection of an optimal web service is a challenging task due to the uncertainty of Quality of
Service, which is the deciding factor to identify the accurate web service. Several discovery …

Many methods are used to retrieve relevant information in big data. One of these is the
Skyline operator, which is used to retrieve the best objects in multidimensional datasets. The …

The distribution of personal protective equipment (PPE) plays a vital role in meeting the
needs of PPE in an area. This study aims to measure the priority of PPE recipient regions in …

Skyline operator is an attractive tool for making decision while accessing skyline queries.
Varied settings are allowed over this skyline operator, due to its easy use over skyline …