DeepAI AI Chat
Log In Sign Up

Imprecise temporal associations and decision support systems

03/03/2018
by   Giovanni Vincenti, et al.
University of Baltimore
0

The quick and pervasive infiltration of decision support systems, artificial intelligence, and data mining in consumer electronics and everyday life in general has been significant in recent years. Fields such as UX have been facilitating the integration of such technologies into software and hardware, but the back-end processing is still based on binary foundations. This article describes an approach to mining for imprecise temporal associations among events in data streams, taking into account the very natural concept of approximation. This type of association analysis is likely to lead to more meaningful and actionable decision support systems.

READ FULL TEXT

page 1

page 2

page 3

page 4

07/14/2000

Integrating E-Commerce and Data Mining: Architecture and Challenges

We show that the e-commerce domain can provide all the right ingredients...
01/17/2022

Patterns of near-crash events in a naturalistic driving dataset: applying rules mining

This study aims to explore the associations between near-crash events an...
03/21/2021

Mining GIS Data to Predict Urban Sprawl

This paper addresses the interesting problem of processing and analyzing...
06/26/2018

An Efficient Data Warehouse for Crop Yield Prediction

Nowadays, precision agriculture combined with modern information and com...
01/26/2016

A Survey on Artificial Intelligence and Data Mining for MOOCs

Massive Open Online Courses (MOOCs) have gained tremendous popularity in...
09/10/2013

Elementos de ingeniería de explotación de la información aplicados a la investigación tributaria fiscal

By introducing elements of information mining to tax analysis, by means ...