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SpringerBriefs in Computer Science

SpringerBriefs in Computer Science
310 Jahrgänge | 2011 - 2019


SpringerBriefs present concise summaries of cutting-edge research and practical applications across a wide spectrum of fields. Featuring compact volumes of 50 to 125 pages, the series covers a range of content from professional to academic.

Typical topics might include:

  • A timely report of state-of-the art analytical techniques
  • A bridge between new research results, as published in journal articles, and a contextual literature review
  • A snapshot of a hot or emerging topic
  • An in-depth case study or clinical example
  • A presentation of core concepts that students must understand in order to make independent contributions

Briefs allow authors to present their ideas and readers to absorb them with minimal time investment. Briefs will be published as part of Springer’s eBook collection, with millions of users worldwide. In addition, Briefs will be available for individual print and electronic purchase. Briefs are characterized by fast, global electronic dissemination, standard publishing contracts, easy-to-use manuscript preparation and formatting guidelines, and expedited production schedules. We aim for publication 8–12 weeks after acceptance. Both solicited and unsolicited manuscripts are considered for publication in this series.

Alle Bücher der Reihe SpringerBriefs in Computer Science

2019 | Buch

Real-Time & Stream Data Management

Push-Based Data in Research & Practice

While traditional databases excel at complex queries over historical data, they are inherently pull-based and therefore ill-equipped to push new information to clients. Systems for data stream management and processing, on the other hand, are …

2019 | Buch

Fitting Splines to a Parametric Function

This Brief investigates the intersections that occur between three different areas of study that normally would not touch each other: ODF, spline theory, and topology.
The Least Squares Orthogonal Distance Fitting (ODF) method has become the …

2019 | Buch

Hidden Treasures in Contemporary RNA Sequencing

Advances in RNA-sequencing (RNA-seq) technologies have provided an unprecedented opportunity to explore the gene expression landscape across individuals, tissues, and environments by efficiently profiling the RNA sequences present in the samples.

2019 | Buch

Domain-Specific Knowledge Graph Construction

The vast amounts of ontologically unstructured information on the Web, including HTML, XML and JSON documents, natural language documents, tweets, blogs, markups, and even structured documents like CSV tables, all contain useful knowledge that can …

2019 | Buch

Asymptotic Nonparametric Statistical Analysis of Stationary Time Series

Stationarity is a very general, qualitative assumption, that can be assessed on the basis of application specifics. It is thus a rather attractive assumption to base statistical analysis on, especially for problems for which less general …

2019 | Buch

Computational Techniques for Human Smile Analysis

In this book, the authors discuss the recent developments in computational techniques for automated non-invasive facial emotion detection and analysis with particular focus on the smile. By way of applications, they discuss how genuine and …

2019 | Buch

A Primer on Quantum Computing

This book is about quantum computing and quantum algorithms. The book starts with a chapter introducing the basic rules of quantum mechanics and how they can be used to build quantum circuits and perform computations.
Further, Grover's algorithm is …

2019 | Buch

Deep Learning: Convergence to Big Data Analytics

This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tools used to analyze big data in real-time, such …

2019 | Buch

Fault Prediction Modeling for the Prediction of Number of Software Faults

This book addresses software faults—a critical issue that not only reduces the quality of software, but also increases their development costs. Various models for predicting the fault-proneness of software systems have been proposed; however, most …

2019 | Buch

Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks

This book presents the latest research on hierarchical deep learning for multi-modal sentiment analysis. Further, it analyses sentiments in Twitter blogs from both textual and visual content using hierarchical deep learning networks: hierarchical …

2019 | Buch

Data Science Careers, Training, and Hiring

A Comprehensive Guide to the Data Ecosystem: How to Build a Successful Data Science Career, Program, or Unit

This book is an information packed overview of how to structure a data science career, a data science degree program, and how to hire a data science team, including resources and insights from the authors experience with national and international …

2019 | Buch

Multimedia QoE Evaluation

This SpringerBrief discusses the most recent research in the field of multimedia QoE evaluation, with a focus on how to evaluate subjective multimedia QoE problems from objective techniques. Specifically, this SpringerBrief starts from a …

2018 | Buch

Research and Development in Digital Media

This book presents an overview of the technical underpinnings in the field of digital media. This includes theory, imaging, big data, interaction, and the research and development that is needed in order to make digital media interfaces more …

2018 | Buch

Artificial Intelligence Tools for Cyber Attribution

This SpringerBrief discusses how to develop intelligent systems for cyber attribution regarding cyber-attacks. Specifically, the authors review the multiple facets of the cyber attribution problem that make it difficult for “out-of-the-box” …

2018 | Buch

Image Quality Assessment of Computer-generated Images

Based on Machine Learning and Soft Computing

Image Quality Assessment is well-known for measuring the perceived image degradation of natural scene images but is still an emerging topic for computer-generated images. This book addresses this problem and presents recent advances based on soft …

2018 | Buch

Deep Neural Networks in a Mathematical Framework

This SpringerBrief describes how to build a rigorous end-to-end mathematical framework for deep neural networks. The authors provide tools to represent and describe neural networks, casting previous results in the field in a more natural light. In …

2018 | Buch

Smartphone-Based Indoor Map Construction

Principles and Applications

This book focuses on ubiquitous indoor localization services, specifically addressing the issue of floor plans. It combines computer vision algorithms and mobile techniques to reconstruct complete and accurate floor plans to provide better …

2018 | Buch

Bioinformatics Techniques for Drug Discovery

Applications for Complex Diseases

The application of bioinformatics approaches in drug design involves an interdisciplinary array of sophisticated techniques and software tools to elucidate hidden or complex biological data. This work reviews the latest bioinformatics approaches …

2018 | Buch

Culture on the Edge of Chaos

Cultural Algorithms and the Foundations of Social Intelligence

The author first introduces the basic framework for cultural algorithms and he then explains the social structure of a cultural system as a mechanism for the distribution of problem-solving information throughout a population. Three different …

2018 | Buch

A Survey of Fractal Dimensions of Networks

Many different fractal dimensions have been proposed for networks. In A Survey of Fractal Dimensions of Networks the theory and computation of the most important of these dimensions are reviewed, including the box counting dimension, the …

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