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This book gathers the latest advances, innovations, and applications in the field of information technology in civil and building engineering, presented at the 19th International Conference on Computing in Civil and Building Engineering (ICCCBE), held in Cape Town,...
Editeur :
Springer
Parution :
2023-08-29
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This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the...
Editeur :
Springer
Parution :
2023-08-23
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This book is a major update to the very successful first and second editions (2005 and 2010) of Data Mining and Knowledge Discovery Handbook. Since the last edition, this field has continued to evolve and to gain popularity. Existing methods are constantly being...
Editeur :
Springer
Parution :
2023-08-17
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This book systemically presents key concepts of multi-modal hashing technology, recent advances on large-scale efficient multimedia search and recommendation, and recent achievements in multimedia indexing technology. With the explosive growth of multimedia...
Editeur :
Springer
Parution :
2023-08-04
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Value-Driven Data explains how data and business leaders can co-create and deploy data-driven solutions for their organizations.Value-Driven Data explores how organizations can understand their problems and come up with better solutions, aligning data storytelling with...
Editeur :
Kogan Page
Parution :
2023-08-03
ePub
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This volume represents the 20th International Conference on Information Technology - New Generations (ITNG), 2023. ITNG is an annual event focusing on state of the art technologies pertaining to digital information and communications. The applications of advanced...
Editeur :
Springer
Parution :
2023-05-06
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MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning—also known as data mining or predictive analytics—is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for...
Editeur :
Wiley
Parution :
2023-04-19
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MACHINE LEARNING FOR BUSINESS ANALYTICS An up-to-date introduction to a market-leading platform for data analysis and machine learning Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, 2nd ed. offers an accessible and engaging...
Editeur :
Wiley
Parution :
2023-04-18
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This open access book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learning to quantify is a task...
Editeur :
Springer
Parution :
2023-03-16
PDF
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MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning —also known as data mining or data analytics— is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for...
Editeur :
Wiley
Parution :
2023-02-13
PDF, ePub
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This book provides an overview of the impact of the pandemic in China and the USA and presents a research agenda for use, access, and adoption of information and communication technologies (ICT) in the era of COVID-19. The global COVID-19 pandemic changed lives...
Editeur :
Springer
Parution :
2023-02-01
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This book offers an introduction to the topic of data science based on the visual processing of data. It deals with ethical considerations in the digital transformation and presents a process framework for the evaluation of technologies. It also explains special...
Editeur :
Springer Vieweg
Parution :
2023-01-01
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The book presents the results of studies on selected problems (such as predictive model of transcription initiation and termination, protein recognition codes, protein structure prediction, feature selection for disease prediction, information retrieval from medical...
Editeur :
Palgrave Macmillan
Parution :
2022-12-01
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DEEP LEARNING A concise and practical exploration of key topics and applications in data science In Deep Learning: From Big Data to Artificial Intelligence with R, expert researcher Dr. Stéphane Tufféry delivers an insightful discussion of the applications of deep...
Editeur :
Wiley
Parution :
2022-11-22
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Für Leser, die bereits die Grundlagen der Wissensverarbeitung und Computernetzwerke beherrschen, gibt das Buch einen Überblick über innovative Verfahren, die die automatisierte Suche, Recherche, Klassifikation und Verwaltung von Texten im Kontext dezentraler Systeme und...
Editeur :
Springer Vieweg
Parution :
2022-11-07
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This book sheds light on state-of-the-art theories for more challenging outfit compatibility modeling scenarios. In particular, this book presents several cutting-edge graph learning techniques that can be used for outfit compatibility modeling. Due to its...
Editeur :
Springer
Parution :
2022-11-02
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ADVANCES in DATA SCIENCE and ANALYTICS Presenting the concepts and advances of data science and analytics, this volume, written and edited by a global team of experts, also goes into the practical applications that can be utilized across multiple disciplines and...
Editeur :
Wiley-Scrivener
Parution :
2022-11-01
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DATA SCIENCE WITH SEMANTIC TECHNOLOGIES This book will serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and thus becomes a unique resource for scholars, researchers, professionals, and practitioners...
Editeur :
Wiley-Scrivener
Parution :
2022-10-26
Collection :
Advances in Intelligent and Scientific Computing
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How to build and maintain strong data organizations—the Dummies way Data Governance For Dummies offers an accessible first step for decision makers into understanding how data governance works and how to apply it to an organization in a way that improves results and...
Editeur :
For Dummies
Parution :
2022-10-26
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This book provides a new model to explore discoverability and enhance the meaning of information. The authors have coined the term epidata, which includes items and circumstances that impact the expression of the data in a document, but are not part of the ordinary...
Editeur :
Springer
Parution :
2022-10-25
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