A sequential pattern mining model for application workload prediction in cloud environment

M Amiri, L Mohammad-Khanli, R Mirandola - Journal of Network and …, 2018 - Elsevier
The resource provisioning is one of the challenging problems in the cloud environment. The
resources should be allocated dynamically according to the demand changes of the …

A new efficient approach for extracting the closed episodes for workload prediction in cloud

M Amiri, L Mohammad-Khanli, R Mirandola - Computing, 2020 - Springer
The prediction of the future workload of applications is an essential step guiding resource
provisioning in cloud environments. In our previous works, we proposed two prediction …

DEER: Distant and Essential Episode Rules for early prediction

L Fahed, A Brun, A Boyer - Expert Systems with Applications, 2018 - Elsevier
Events prediction in a sequence of events is a challenging task that can be approached with
data mining. In this paper, we focus on the specific case of early prediction of distant events …

Mining frequent serial positioning episode rules with forward and backward search technique from event sequences

D Kumar - The Computer Journal, 2023 - academic.oup.com
A large event sequence can generate episode rules that are patterns which help to identify
the possible dependencies existing among event types. Frequent episodes occurring in a …

Influencer events in episode rules: a way to impact the occurrence of events

L Fahed, A Brun, A Boyer - Procedia Computer Science, 2015 - Elsevier
Episode rules are event patterns mined from a single event sequence. They are mainly used
to predict the occurrence of events (the consequent of the rule), once the antecedent has …

Prédire et influencer l'apparition des événements dans une séquence complexe

L Fahed - 2016 - theses.hal.science
Depuis plusieurs années, un nouveau phénomène lié aux données numériques émerge:
des données de plus en plus volumineuses, variées et véloces, apparaissent et sont …

Sur les traces du futur: entre comprendre et pr edire

A Brun - 2018 - hal.science
La modélisation empirique, reposant sur des données de réalisation ou de traces, est une
approche de modélisation de phénomènes, systèmes ou objets, et a la caractéristique de s' …