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Data reduction in big data: a survey of methods, challenges and future directions
Data reduction plays a pivotal role in managing and analyzing big data, which is characterized by its volume, velocity, variety, veracity, value,...
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A comprehensive survey of feature selection techniques based on whale optimization algorithm
Machine learning and data mining rely on feature selection to reduce the dimension of data and increase the performance of algorithms. As a result of...
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Temporal-Attribute Inference Using Dynamic Bayesian Networks
As social networks continue to grow in popularity, it is essential to understand what can be learned about private attributes of social-network users...
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A novel technique for identification and classification of HIV/AIDS related social media data using LD-KMEANS and DBN-LSTM
To understand the mass behaviour of people, an effectual platform was provided by the online social network, which aids in develo** techniques for...
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Game Theoretical Adversarial Deep Learning
This chapter summarizes the game theoretical strategies for generating adversarial manipulations. The adversarial learning objective for our...
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Selected Aspects of Interactive Feature Extraction
In the presented study, the problem of interactive feature extraction, i.e., supported by interaction with users, is discussed, and several...
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Oracle Machine Learning for SQL
Oracle Advanced Analytics consists of Oracle Data Mining and Oracle R Enterprise. On December 5, 2019, Oracle announced Advanced Analytics...
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A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges
Supervised classification based on Contrast Patterns (CP) is a trending topic in the pattern recognition literature, partly because it contains an...
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Visualization in virtual reality: a systematic review
Rapidly growing virtual reality (VR) technologies and techniques have gained importance over the past few years, and academics and practitioners have...
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Effectively clustering researchers in scientific collaboration networks: case study on ResearchGate
Social networks play a significant role in sharing knowledge. Scientific collaboration online networks allow scientific articles and research results...
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Vehicular mobility patterns and their applications to Internet-of-Vehicles: a comprehensive survey
With the growing popularity of the Internet-of-Vehicles (IoV), it is of pressing necessity to understand transportation traffic patterns and their...
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Taking Complexity into Account: A Structured Literature Review on Multi-component Systems in the Context of Predictive Maintenance
One of the most prominent use cases of a digitized industry is predictive maintenance. Advances in sensor and data technology enable continuous...
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A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions
With the increase in the usage of the Internet, a large amount of information is exchanged between different communicating devices. The data should...
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Differential Privacy via a Truncated and Normalized Laplace Mechanism
When querying databases containing sensitive information, the privacy of individuals stored in the database has to be guaranteed. Such guarantees are...
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Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges
Medical applications of Artificial Intelligence (AI) have consistently shown remarkable performance in providing medical professionals and patients...
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Big data algorithms beyond machine learning
The availability of big data sets in research, industry and society in general has opened up many possibilities of how to use this data. In many...
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Multiple Bayesian discriminant functions for high-dimensional massive data classification
The presence of complex distributions of samples concealed in high-dimensional, massive sample-size data challenges all of the current classification...
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A Reference Architecture for Quality Improvement in Steel Production
Es gibt weltweit einen erhöhten Bedarf an Stahl, aber die Stahlherstellung ist ein enorm anspruchsvoller und kostenintensiver Prozess, bei dem gute...
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An integrated method of associative classification and neuro-fuzzy approach for effective mammographic classification
Computer-aided diagnosis has gained a significant attention in hel** radiologists to improve the accuracy of mammographic detection and diagnostic...
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A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
Machine Learning (ML) has been enjoying an unprecedented surge in applications that solve problems and enable automation in diverse domains....
