Buscar
Mostrando ítems 21-30 de 102
Artículo
Energy Time Series Forecasting Based on Pattern Sequence Similarity
(IEEE, 2011)
This paper presents a new approach to forecast the behavior of time series based on similarity of pattern sequences. First, clustering techniques are used with the aim of grouping and labeling the samples from a data set. ...
Artículo
Cross-domain polarity classification using a knowledge-enhanced meta-classifier
(Elsevier, 2015)
Current approaches to single and cross-domain polarity classification usually use bag of words, n-grams or lexical resource-based classifiers. In this paper, we propose the use of meta-learning to combine and enrich those ...
Artículo
Energy wasting at internet data centers due to fear
(Elsevier, 2015)
The fear experienced by data center administrators presents an ongoing problem due to the low percentage of machines that they are willing to switch off in order to save energy. This risk aversion can be assessed from ...
Artículo
User-centric Adaptation Analysis of Multi-tenant Services
(Association for Computing Machinery (ACM), 2016)
Multi-tenancy is a key pillar of cloud services. It allows different users to share computing and virtual resources transparently, meanwhile guaranteeing substantial cost savings. Due to the tradeoff between scalability ...
Artículo
Reverse engineering language product lines from existing DSL variants
(Elsevier, 2017)
The use of domain-specific languages (DSLs) has become a successful technique to develop complex sys tems. In this context, an emerging phenomenon is the existence of DSL variants, which are different versions of a DSL ...
Artículo
Towards the automatic and optimal selection of risk treatments for business processes using a constraint programming approach
(Elsevier, 2013)
Context: The use of Business Process Management Systems (BPMS) has emerged in the IT arena for the automation of business processes. In the majority of cases, the issue of security is overlooked by default in these systems, ...
Artículo
Run-time prediction of business process indicators using evolutionary decision rules
(Elsevier, 2017)
Predictive monitoring of business processes is a challenging topic of process mining which is concerned with the prediction of process indicators of running process instances. The main value of predictive monitoring is to ...
Artículo
Machine learning techniques to discover genes with potential prognosis role in Alzheimer’s disease using different biological sources
(Elsevier, 2017)
Alzheimer’s disease is a complex progressive neurodegenerative brain disorder, being its prevalence ex pected to rise over the next decades. Unconventional strategies for elucidating the genetic mechanisms are necessary ...
Artículo
Discovering gene association networks by multi-objective evolutionary quantitative association rules
(Elsevier, 2014)
In the last decade, the interest in microarray technology has exponentially increased due to its ability to monitor the expression of thousands of genes simultaneously. The reconstruction of gene association networks ...
Artículo
An Experimental Replication on the Effect of the Practice of Mindfulness in Conceptual Modeling Performance
(Elsevier, 2018)
Context: Mindfulness is a meditation technique aimed to increase clearness of mind and awareness. In the 2013–2014 academic year, an experiment was carried out to test whether the practice of mindfulness during 4 weeks ...