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The Security of Big Data in Fog-Enabled IoT Applications Including Blockchain: A Survey
TLDR
The proliferation of inter-connected devices in critical industries is driven by the growing demand for seamless access to information as the world becomes more mobile and connected and as the Internet of Things (IoT) grows. Expand
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Customer churn prediction in telecommunication industry using data certainty
TLDR
A novel CCP approach is presented based on the above concept of classifier's certainty estimation using distance factor for predicting customer churn and non-churn behavior. Expand
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Neural word and entity embeddings for ad hoc retrieval
TLDR
We perform a methodical study on how neural embeddings influence the ad hoc document retrieval task. Expand
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Hybrid multicriteria fuzzy classification of network traffic patterns, anomalies, and protocols
TLDR
We propose a new supervised hybrid machine-learning approach for ubiquitous traffic classification based on multicriteria fuzzy decision trees with attribute selection. Expand
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Differential Evolution for learning the classification method PROAFTN
TLDR
This paper introduces a new learning technique for the multicriteria classification method PROAFTN. Expand
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A Fuzzy Decision Tree for Processing Satellite Images and Landsat Data
TLDR
We propose an improved data classification algorithm that utilizes the best of a decision tree and multi-criteria classification. Expand
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Automatic Parameter Settings for the PROAFTN Classifier Using Hybrid Particle Swarm Optimization
TLDR
In this paper, a new hybrid metaheuristic learning algorithm is introduced to choose the best parameters for the classification method PROAFTN, which requires values of several parameters to be determined prior to classification. Expand
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Discretization Techniques and Genetic Algorithm for Learning the Classification Method PROAFTN
TLDR
This paper introduces new techniques for learning the classification method PROAFTN from data by discretization and genetic algorithms. Expand
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A Hybrid Metaheuristic Framework for Evolving the PROAFTN Classifier
TLDR
A new learning algorithm based on a hybrid metaheuristic integrating Differential Evolution (DE) and Reduced Variable Neighborhood Search (RVNS) is introduced to train the classification method PROAFTN. Expand
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A Learning Method for Developing PROAFTN Classifiers and a Comparative Study with Decision Trees
TLDR
A comparative study between PROAFTN and a decision tree in terms of their learning methodology, classification accuracy, and interpretability is investigated in this paper. Expand
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