Parallelizing data clustering algorithms has attracted the interest of many researchers over
the past few years. Many efficient parallel algorithms were proposed to build partitioning …

As we are living in the era of big data, high volumes of wide varieties of data which may be
of different veracity (eg, precise data, imprecise and uncertain data) are easily generated or …

Abstract The advent of Big Data has led to the rapid growth in the usage of parallel
clustering algorithms that work over distributed computing frameworks such as MPI …

The major objective of this paper is to build a cost prediction model for general aviation
aircraft using artificial neural network (ANN) and principle component analysis (PCA) …

Data mining is very much needed in various fields In accessing a large amount of data
requires time and a high level of accuracy. In higher education the potential influence of data …

In universities or enterprises that need to establish an intranet to ensure local data security
and privacy, intranet users can store their data on the intranet storage server to realize data …

The Doubly Connected Edge List (DCEL) is an edge-list structure that has been widely
utilized in spatial applications for planar topological computations. An important operation is …

Distributed data management requires data partitioning and deployment at the data storage
level, and data querying requires the configuration and integration of query subresults at …

The spatial index is a data structure formed according to the position and shape of the
spatial object or the relationship between the spatial objects according to certain rules, and …

The proposed system depicts various strategies utilized for forecast of Air Quality Index (AQI)
utilizing supervised machine learning procedures. The system examines machine learning …