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Multi-model query languages: taming the variety of big data
A critical issue in Big Data management is to address the variety of data–data are produced by disparate sources, presented in various formats, and...
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Recent Advanced in Healthcare Data Privacy Techniques
In recent years, there has been a significant increase in the amount of healthcare data generated by patients, healthcare providers, and medical...
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Introduction: XML and JSON
This chapter introduces basic concepts about XML and JSON. At the end of this chapter, there is an exercise for the environment setup.
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Computational Category-Theoretic Rewriting
We demonstrate how category theory provides specifications that can efficiently be implemented via imperative algorithms and apply this to the field...
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Visualization, Analysis and Collaborative Discussion of Severe Weather Events
Designing effective collaboration, visualization, and analysis of severe weather events (e.g., excessive rainfall accumulation, floods, severe...
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A Catalog of Source Code Metrics – A Tertiary Study
Context: A large number of source code metrics are reported in the literature. It is necessary to systematically collect, describe and classify...
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Learning to Rank Hypernyms of Financial Terms Using Semantic Textual Similarity
Over the years, with the advancement of digitalization, investors have started embracing the online mode of performing financial activities. Most...
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Graph-FCA Meets Pattern Structures
A number of extensions have been proposed for Formal Concept Analysis (FCA). Among them, Pattern Structures (PS) bring complex descriptions on...
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A semantics-enabled approach for personalised Data Lake exploration
The increasing availability of Big Data is changing the way data exploration for Business Intelligence is performed, due to the volume, velocity and...
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Taxonomy Generation and Dynamic Document Organization
This chapter is about taxonomy generation and dynamic document organization. The taxonomy generation refers to the automatic category predefinition...
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Interactivity
In this chapter, we discuss the top of interactivity, a key element of NLIDB impacting its effectiveness and usefulness. We introduce different...
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Optimized Clustering Model for Healthcare Sentiments on Twitter: A Big Data Analysis Approach
Social media, such as TwitterTwitter, typically stores a large amount of user-generated content regarding different aspects of society. These...
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Bridging Between Active Objects: Multitier Programming for Distributed, Concurrent Systems
Programming distributed and concurrent systems is notoriously hard. Active objects, which encapsulate operations, state and control flow, have been...
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GH-CNN: A New CNN for Coherent Hierarchical Classification
Hierarchical multi-label classification is a challenging task implying the encoding of a high level constraint in the neural network model. Before...
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UMP-MG: A Uni-directed Message-Passing Multi-label Generation Model for Hierarchical Text Classification
Hierarchical Text Classification (HTC) is a formidable task which involves classifying textual descriptions into a taxonomic hierarchy. Existing...
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Hierarchical Object Detection and Classification Using SSD Multi-Loss
When merging existing similar datasets, it would be attractive to benefit from a higher detection rate of objects and the additional partial...
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Recommending metamodel concepts during modeling activities with pre-trained language models
The design of conceptually sound metamodels that embody proper semantics in relation to the application domain is particularly tedious in...
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Machine Learning and Integrated Approach
This chapter explains basic machine learning technologies other than regression as methods for hypothesis generation and then introduces integrated...
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Attack and anomaly prediction in networks-on-chip of multiprocessor system-on-chip-based IoT utilizing machine learning approaches
The proliferation of multiprocessor system-on-chip (MPSoC) architectures within the Internet of Things (IoT) has introduced notable security...
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A hybrid deep learning based enhanced and reliable approach for VANET intrusion detection system
Advances in autonomous transportation technologies have profoundly influenced the evolution of daily commuting and travel. These innovations rely...
