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Kdd 15 21st Acm Sigkdd International Conference On Knowledge Discovery And Data Mining


Kdd 15 21st Acm Sigkdd International Conference On Knowledge Discovery And Data Mining
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Proceedings Of The 21th Acm Sigkdd International Conference On Knowledge Discovery And Data Mining


Proceedings Of The 21th Acm Sigkdd International Conference On Knowledge Discovery And Data Mining
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Author : Longbing Cao
language : en
Publisher:
Release Date : 2015

Proceedings Of The 21th Acm Sigkdd International Conference On Knowledge Discovery And Data Mining written by Longbing Cao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Computer science categories.




Kdd 15 21st Acm Sigkdd International Conference On Knowledge Discovery And Data Mining


Kdd 15 21st Acm Sigkdd International Conference On Knowledge Discovery And Data Mining
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Author : Kdd 15 Conference Committee
language : en
Publisher:
Release Date : 2015-11-19

Kdd 15 21st Acm Sigkdd International Conference On Knowledge Discovery And Data Mining written by Kdd 15 Conference Committee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-19 with categories.




Kdd 15 21st Acm Sigkdd International Conference On Knowledge Discovery And Data Mining


Kdd 15 21st Acm Sigkdd International Conference On Knowledge Discovery And Data Mining
DOWNLOAD
Author : Kdd 15 Conference Committee
language : en
Publisher:
Release Date : 2015-11-19

Kdd 15 21st Acm Sigkdd International Conference On Knowledge Discovery And Data Mining written by Kdd 15 Conference Committee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-19 with categories.




Kdd 15 21st Acm Sigkdd International Conference On Knowledge Discovery And Data Mining


Kdd 15 21st Acm Sigkdd International Conference On Knowledge Discovery And Data Mining
DOWNLOAD
Author : Kdd 15 Conference Committee
language : en
Publisher:
Release Date : 2015-11-19

Kdd 15 21st Acm Sigkdd International Conference On Knowledge Discovery And Data Mining written by Kdd 15 Conference Committee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-19 with Computers categories.




Mining Heterogeneous Information Networks


Mining Heterogeneous Information Networks
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Author : Yizhou Sun
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2012

Mining Heterogeneous Information Networks written by Yizhou Sun and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.


Investigates the principles and methodologies of mining heterogeneous information networks. Departing from many existing network models that view interconnected data as homogeneous graphs or networks, the semi-structured heterogeneous information network model leverages the rich semantics of typed nodes and links in a network and uncovers surprisingly rich knowledge from the network.



Applied Data Science


Applied Data Science
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Author : Martin Braschler
language : en
Publisher: Springer
Release Date : 2019-06-13

Applied Data Science written by Martin Braschler and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-13 with Computers categories.


This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement for a classical textbook (i.e., it does not elaborate on fundamentals of methods and principles described elsewhere), but systematically highlights the connection between theory, on the one hand, and its application in specific use cases, on the other. With these goals in mind, the book is divided into three parts: Part I pays tribute to the interdisciplinary nature of data science and provides a common understanding of data science terminology for readers with different backgrounds. These six chapters are geared towards drawing a consistent picture of data science and were predominantly written by the editors themselves. Part II then broadens the spectrum by presenting views and insights from diverse authors – some from academia and some from industry, ranging from financial to health and from manufacturing to e-commerce. Each of these chapters describes a fundamental principle, method or tool in data science by analyzing specific use cases and drawing concrete conclusions from them. The case studies presented, and the methods and tools applied, represent the nuts and bolts of data science. Finally, Part III was again written from the perspective of the editors and summarizes the lessons learned that have been distilled from the case studies in Part II. The section can be viewed as a meta-study on data science across a broad range of domains, viewpoints and fields. Moreover, it provides answers to the question of what the mission-critical factors for success in different data science undertakings are. The book targets professionals as well as students of data science:first, practicing data scientists in industry and academia who want to broaden their scope and expand their knowledge by drawing on the authors’ combined experience. Second, decision makers in businesses who face the challenge of creating or implementing a data-driven strategy and who want to learn from success stories spanning a range of industries. Third, students of data science who want to understand both the theoretical and practical aspects of data science, vetted by real-world case studies at the intersection of academia and industry.



Proceedings Of The 19th Acm Sigkdd International Conference On Knowledge Discovery And Data Mining


Proceedings Of The 19th Acm Sigkdd International Conference On Knowledge Discovery And Data Mining
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Author : Inderjit S. Dhillon
language : en
Publisher:
Release Date : 2013

Proceedings Of The 19th Acm Sigkdd International Conference On Knowledge Discovery And Data Mining written by Inderjit S. Dhillon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computer science categories.




Transfer Learning


Transfer Learning
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Author : Qiang Yang
language : en
Publisher: Cambridge University Press
Release Date : 2020-02-13

Transfer Learning written by Qiang Yang and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-13 with Computers categories.


This in-depth tutorial for students, researchers, and developers covers foundations, plus applications ranging from search to multimedia.



Graph Neural Networks Foundations Frontiers And Applications


Graph Neural Networks Foundations Frontiers And Applications
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Author : Lingfei Wu
language : en
Publisher: Springer Nature
Release Date : 2022-01-03

Graph Neural Networks Foundations Frontiers And Applications written by Lingfei Wu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-03 with Computers categories.


Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data, such as images or sequence data, and not immediately applicable to graph-structured data such as text. This gap has driven a wave of research for deep learning on graphs, including graph representation learning, graph generation, and graph classification. The new neural network architectures on graph-structured data (graph neural networks, GNNs in short) have performed remarkably on these tasks, demonstrated by applications in social networks, bioinformatics, and medical informatics. Despite these successes, GNNs still face many challenges ranging from the foundational methodologies to the theoretical understandings of the power of the graph representation learning. This book provides a comprehensive introduction of GNNs. It first discusses the goals of graph representation learning and then reviews the history, current developments, and future directions of GNNs. The second part presents and reviews fundamental methods and theories concerning GNNs while the third part describes various frontiers that are built on the GNNs. The book concludes with an overview of recent developments in a number of applications using GNNs. This book is suitable for a wide audience including undergraduate and graduate students, postdoctoral researchers, professors and lecturers, as well as industrial and government practitioners who are new to this area or who already have some basic background but want to learn more about advanced and promising techniques and applications.



Data Mining And Knowledge Discovery Handbook


Data Mining And Knowledge Discovery Handbook
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Author : Oded Maimon
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-28

Data Mining And Knowledge Discovery Handbook written by Oded Maimon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-28 with Computers categories.


Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.