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totalt 22 träffar
Latent Factor Analysis for High-dimensional and Sparse Matrices
Latent factor analysis models are an effective type of machine learning model for addressing high-dimensional and sparse matrices, which are encountered in many big-data-related …
Deep Learning in Solar Astronomy
The volume of data being collected in solar astronomy has exponentially increased over the past decade and we will be entering the age of petabyte solar data. Deep learning has …
Guide to Differential Privacy Modifications
Shortly after it was ?rst introduced in 2006, di?erential privacy became the ?agship data privacy de?nition. Since then, numerous variants and extensions were proposed to adapt it …
Robust Network Compressive Sensing
This book investigates compressive sensing techniques to provide a robust and general framework for network data analytics. The goal is to introduce a compressive sensing framework …
Knowledge Discovery from Multi-Sourced Data
This book addresses several knowledge discovery problems on multi-sourced data where the theories, techniques, and methods in data cleaning, data mining, and natural language …
Privacy Preservation in IoT: Machine Learning Approaches
This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the …
Bringing Machine Learning to Software-Defined Networks
Emerging machine learning techniques bring new opportunities to flexible network control and management. This book focuses on using state-of-the-art machine learning-based …
IoT Supply Chain Security Risk Analysis and Mitigation
This SpringerBrief introduces methodologies and tools for quantitative understanding and assessment of supply chain risk to critical infrastructure systems. It unites system …
Cohesive Subgraph Search Over Large Heterogeneous Information Networks
This SpringerBrief provides the first systematic review of the existing works of cohesive subgraph search (CSS) over large heterogeneous information networks (HINs). It also covers …
Main Memory Management on Relational Database Systems
This book provides basic knowledge about main memory management in relational databases as it is needed to support large-scale applications processed completely in memory. In …
Data, Information, and Time
This SpringerBrief presents the data- information-and-time (DIT) model that precisely clarifies the semantics behind the terms data, information and their relations to the passage …
Cyber-Security Threats and Response Models in Nuclear Power Plants
This SpringerBrief presents a brief introduction to probabilistic risk assessment (PRA), followed by a discussion of abnormal event detection techniques in industrial control …