Tous les ebooks de la collection "SpringerBriefs in Computer Science" - Springer

346 Livre(s)


Ajouter à ma liste d'envies Data Science Careers, Training, and Hiring Renata Rawlings-Goss 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 large-scale data... Editeur : Springer Parution : 2019-08-02 Collection : SpringerBriefs in Computer Science PDF, ePub 68,56 € PDF ePub
Ajouter à ma liste d'envies A Primer on Quantum Computing Franklin De Lima Marquezino , Carlile Lavor , Renato Portugal 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 presented for... Editeur : Springer Parution : 2019-06-25 Collection : SpringerBriefs in Computer Science PDF, ePub 63,29 € PDF ePub
Ajouter à ma liste d'envies Computational Techniques for Human Smile Analysis Ahmad Ali Asad Aldahoud , Hassan Ugail 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 non-genuine smiles can be... Editeur : Springer Parution : 2019-04-17 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks Arindam Chaudhuri 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 gated feedback... Editeur : Springer Parution : 2019-04-06 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Fault Prediction Modeling for the Prediction of Number of Software Faults Sandeep Kumar , Santosh Singh Rathore 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 of them provide... Editeur : Springer Parution : 2019-04-03 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Syntactic n-grams in Computational Linguistics Grigori Sidorov This book is about a new approach in the field of computational linguistics related to the idea of constructing n-grams in non-linear manner, while the traditional approach consists in using the data from the surface structure of texts, i.e., the linear structure.In... Editeur : Springer Parution : 2019-04-02 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Asymptotic Nonparametric Statistical Analysis of Stationary Time Series Daniil Ryabko 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 qualitative assumptions,... Editeur : Springer Parution : 2019-03-07 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Domain-Specific Knowledge Graph Construction Mayank Kejriwal 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 present a tremendous... Editeur : Springer Parution : 2019-03-04 Collection : SpringerBriefs in Computer Science PDF, ePub 73,84 € PDF ePub
Ajouter à ma liste d'envies Hidden Treasures in Contemporary RNA Sequencing Eleazar Eskin , Serghei Mangul , Harry Taegyun Yang , Noah Zaitlen 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. When a reference genome... Editeur : Springer Parution : 2019-03-01 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Fitting Splines to a Parametric Function Alvin Penner 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 standard technique used to... Editeur : Springer Parution : 2019-02-23 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Real-Time & Stream Data Management Felix Gessert , Norbert Ritter , Wolfram Wingerath 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 natively pushoriented and... Editeur : Springer Parution : 2019-01-02 Collection : SpringerBriefs in Computer Science PDF, ePub 58,01 € PDF ePub
Ajouter à ma liste d'envies Deep Learning: Convergence to Big Data Analytics Haleem Farman , Bilal Jan , Murad Khan 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 as Hadoop, SPARK, and... Editeur : Springer Parution : 2018-12-30 Collection : SpringerBriefs in Computer Science PDF, ePub 73,84 € PDF ePub
Ajouter à ma liste d'envies Mining Lurkers in Online Social Networks Roberto Interdonato , Andrea Tagarelli This SpringerBrief brings order to the wealth of research studies that contribute to shape our understanding of on-line social networks (OSNs) lurking phenomena.This brief also drives the development of computational approaches that can... Editeur : Springer Parution : 2018-11-09 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Software Fault Detection and Correction: Modeling and Applications Yan-Fu Li , Yu Liu , Rui Peng This book focuses on software fault detection and correction processes, presenting 5 different paired models introduced over the last decade and discussing their applications, in particular to determining software release time. The first work incorporates the testing... Editeur : Springer Parution : 2018-11-01 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Edge Computing: A Primer Jie Cao , Weisong Shi , Quan Zhang The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud. In Edge Computing: A Primer the vision and... Editeur : Springer Parution : 2018-11-01 Collection : SpringerBriefs in Computer Science PDF, ePub 73,84 € PDF ePub
Ajouter à ma liste d'envies Mobile Data Mining Hanghang Tong , Xing Su , Hanghang Tong , Yuan Yao This SpringerBrief presents a typical life-cycle of mobile data mining applications, including:data capturing and processing which determines what data to collect, how to collect these data, and how to reduce the noise in the data based on smartphone... Editeur : Springer Parution : 2018-10-31 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Large Group Decision Making Iván Palomares Carrascosa This SpringerBrief provides a pioneering, central point of reference for the interested reader in Large Group Decision Making trends such as consensus support, fusion and weighting of relevant decision information, subgroup clustering, behavior management, and... Editeur : Springer Parution : 2018-10-31 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories Rafal. A Angryk , Berkay Aydin This SpringerBrief provides an overview within data mining of spatiotemporal frequent pattern mining from evolving regions to the perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access... Editeur : Springer Parution : 2018-10-15 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Large Scale Hierarchical Classification: State of the Art Azad Naik , Huzefa Rangwala This SpringerBrief covers the technical material related to large scale hierarchical classification (LSHC). HC is an important machine learning problem that has been researched and explored extensively in the past few years. In this book, the authors provide a... Editeur : Springer Parution : 2018-10-09 Collection : SpringerBriefs in Computer Science PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Tree-Based Convolutional Neural Networks Zhi Jin , Lili Mou , Zhi Jin This book proposes a novel neural architecture, tree-based convolutional neural networks (TBCNNs),for processing tree-structured data. TBCNNsare related to existing convolutional neural networks (CNNs) and recursive neural networks (RNNs), but they combine the merits of... Editeur : Springer Parution : 2018-10-01 Collection : SpringerBriefs in Computer Science PDF, ePub 58,01 € PDF ePub
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