Data series indexes are necessary for managing and analyzing the increasing amounts of
data series collections that are nowadays available. These indexes support both exact and …

Data series indexes are necessary for managing and analyzing the increasing amounts of
data series collections that are nowadays available. These indexes support both exact and …

This paper presents parallel solutions (developed based on two state-of-the-art algorithms
iSAX and sketch) for evaluating k nearest neighbor queries on large databases of time …

A well known issue regarding PLS lies in the difficulty to apprehend nonlinearities. As a
solution, an extension of the method,“KNN-PLS”, was developed. However, this solution is …

An internet of things (IoT) framework can be beneficial to the neural scientific research and
development for massive data acquisition, management and processing in a manner of …

Index structures such as B-trees and bloom filters are the well-established petrol engines of
database systems. However, these structures do not fully exploit patterns in data distribution …

Clustering customers, predicting account balances, scoring credits, detecting risk cash flows,
etc. are the problems that have been focused on research in the banking sector. With the …