Ecml Pkdd 2018 Workshops

Download Ecml Pkdd 2018 Workshops full books in PDF, epub, and Kindle. Read online Ecml Pkdd 2018 Workshops ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

ECML PKDD 2018 Workshops

Author : Carlos Alzate
Publisher : Springer
ISBN 13 : 3030134539
Total Pages : 257 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis ECML PKDD 2018 Workshops by : Carlos Alzate

Download or read book ECML PKDD 2018 Workshops written by Carlos Alzate and published by Springer. This book was released on 2019-02-15 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the workshops Nemesis, UrbReas, SoGood, IWAISe, and Green Data Mining, held at the 18th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, in Dublin, Ireland, in September 2018. The 20 papers presented in this volume were carefully reviewed and selected from a total of 32 submissions. The workshops included are: Nemesis 2018: First Workshop on Recent Advances in Adversarial Machine Learning UrbReas 2018: First International Workshop on Urban Reasoning from Complex Challenges in Cities SoGood 2018: Third Workshop on Data Science for Social Good IWAISe 2018: Second International Workshop on Artificial Intelligence in Security Green Data Mining 2018: First International Workshop on Energy Efficient Data Mining and Knowledge Discovery

ECML PKDD 2018 Workshops

Author : Anna Monreale
Publisher : Springer
ISBN 13 : 3030148807
Total Pages : 127 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis ECML PKDD 2018 Workshops by : Anna Monreale

Download or read book ECML PKDD 2018 Workshops written by Anna Monreale and published by Springer. This book was released on 2019-03-07 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the workshops DMLE and IoTStream, held at the 18thEuropean Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, in Dublin, Ireland, in September 2018. The 8 full papers presented in this volume were carefully reviewed and selected from a total of 12 submissions. The workshops included are: DMLE 2018: First Workshop on Decentralized Machine Learning at the Edge IoTStream 2018: 3rd Workshop on IoT Large Scale Machine Learning from Data Streams

ECML PKDD 2018 Workshops

Author : Carlos Alzate
Publisher : Springer
ISBN 13 : 3030134636
Total Pages : 173 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis ECML PKDD 2018 Workshops by : Carlos Alzate

Download or read book ECML PKDD 2018 Workshops written by Carlos Alzate and published by Springer. This book was released on 2019-02-06 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from two workshops held at the 18th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, in Dublin, Ireland, in September 2018, namely: MIDAS 2018 – Third Workshop on Mining Data for Financial Applications and PAP 2018 – Second International Workshop on Personal Analytics and Privacy. The 12 papers presented in this volume were carefully reviewed and selected from a total of 17 submissions.

ECML PKDD 2018 Workshops

Author : Anna Monreale
Publisher :
ISBN 13 : 9783030148812
Total Pages : 127 pages
Book Rating : 4.1/5 (488 download)

DOWNLOAD NOW!

Book Synopsis ECML PKDD 2018 Workshops by : Anna Monreale

Download or read book ECML PKDD 2018 Workshops written by Anna Monreale and published by . This book was released on 2019 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the workshops DMLE and IoTStream, held at the 18thEuropean Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, in Dublin, Ireland, in September 2018. The 8 full papers presented in this volume were carefully reviewed and selected from a total of 12 submissions. The workshops included are: DMLE 2018: First Workshop on Decentralized Machine Learning at the Edge IoTStream 2018: 3rd Workshop on IoT Large Scale Machine Learning from Data Streams.

ECML PKDD 2020 Workshops

Author : Irena Koprinska
Publisher : Springer Nature
ISBN 13 : 3030659658
Total Pages : 619 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis ECML PKDD 2020 Workshops by : Irena Koprinska

Download or read book ECML PKDD 2020 Workshops written by Irena Koprinska and published by Springer Nature. This book was released on 2021-02-01 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the workshops which complemented the 20th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2020. Due to the COVID-19 pandemic the conference and workshops were held online. The 43 papers presented in volume were carefully reviewed and selected from numerous submissions. The volume presents the papers that have been accepted for the following workshops: 5th Workshop on Data Science for Social Good, SoGood 2020; Workshop on Parallel, Distributed and Federated Learning, PDFL 2020; Second Workshop on Machine Learning for Cybersecurity, MLCS 2020, 9th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2020, Workshop on Data Integration and Applications, DINA 2020, Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning, EDML 2020, Second International Workshop on eXplainable Knowledge Discovery in Data Mining, XKDD 2020; 8th International Workshop on News Recommendation and Analytics, INRA 2020. The papers from INRA 2020 are published open access and licensed under the terms of the Creative Commons Attribution 4.0 International License.

IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning

Author : Joao Gama
Publisher : Springer Nature
ISBN 13 : 3030667707
Total Pages : 317 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning by : Joao Gama

Download or read book IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning written by Joao Gama and published by Springer Nature. This book was released on 2021-01-09 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 and held in September 2020. Due to the COVID-19 pandemic the workshops were held online. The 21 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from 35 submissions and are organized according to the workshops and their topics: IoT Streams 2020: Stream Learning; Feature Learning; ITEM 2020: Unsupervised Machine Learning; Hardware; Methods; Quantization.

Federated Learning

Author : Heiko Ludwig
Publisher : Springer Nature
ISBN 13 : 3030968960
Total Pages : 531 pages
Book Rating : 4.0/5 (39 download)

DOWNLOAD NOW!

Book Synopsis Federated Learning by : Heiko Ludwig

Download or read book Federated Learning written by Heiko Ludwig and published by Springer Nature. This book was released on 2022-07-07 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: Federated Learning: A Comprehensive Overview of Methods and Applications presents an in-depth discussion of the most important issues and approaches to federated learning for researchers and practitioners. Federated Learning (FL) is an approach to machine learning in which the training data are not managed centrally. Data are retained by data parties that participate in the FL process and are not shared with any other entity. This makes FL an increasingly popular solution for machine learning tasks for which bringing data together in a centralized repository is problematic, either for privacy, regulatory or practical reasons. This book explains recent progress in research and the state-of-the-art development of Federated Learning (FL), from the initial conception of the field to first applications and commercial use. To obtain this broad and deep overview, leading researchers address the different perspectives of federated learning: the core machine learning perspective, privacy and security, distributed systems, and specific application domains. Readers learn about the challenges faced in each of these areas, how they are interconnected, and how they are solved by state-of-the-art methods. Following an overview on federated learning basics in the introduction, over the following 24 chapters, the reader will dive deeply into various topics. A first part addresses algorithmic questions of solving different machine learning tasks in a federated way, how to train efficiently, at scale, and fairly. Another part focuses on providing clarity on how to select privacy and security solutions in a way that can be tailored to specific use cases, while yet another considers the pragmatics of the systems where the federated learning process will run. The book also covers other important use cases for federated learning such as split learning and vertical federated learning. Finally, the book includes some chapters focusing on applying FL in real-world enterprise settings.

Digital Literacy and Socio-Cultural Acceptance of ICT in Developing Countries

Author : Emmanuel Eilu
Publisher : Springer Nature
ISBN 13 : 3030610896
Total Pages : 313 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Digital Literacy and Socio-Cultural Acceptance of ICT in Developing Countries by : Emmanuel Eilu

Download or read book Digital Literacy and Socio-Cultural Acceptance of ICT in Developing Countries written by Emmanuel Eilu and published by Springer Nature. This book was released on 2021-05-31 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the role of human computer interaction (HCI) design in fostering digital literacy and promoting socio-cultural acceptance and usage of the latest ICT innovations in developing countries. The book presents techniques, theories, case studies, and methodologies in HCI design approaches that have been used to foster digital literacy, break the socio-cultural barriers to ICT adoption, and promote the widespread usage of the latest innovations in the health, agriculture, economic, education and social sectors in developing countries. The authors provide insights on how crossing disciplines in HCI such as usability design, user centered design, user experience, anticipated user experience, technology acceptance design, persuasive design, philosophical designs, motivational design, social-cultural oriented designs, and other HCI design approaches have promoted digital literacy and stimulated socio-cultural acceptance and the usage of the latest ICT innovations. The book is relevant in academic, industry and government. Presents theoretical, practical, and socio-cultural approaches to digital literacy challenges in developing countries; Discusses recent ICT and HCI innovations used to transform the health, agriculture, economic, education and social sectors in developing countries; Provides insights on design opportunities and challenges presented in countries where digital literacy is very low and with complex socio-cultural dynamics.

Security and Privacy in Communication Networks

Author : Joaquin Garcia-Alfaro
Publisher : Springer Nature
ISBN 13 : 3030900193
Total Pages : 547 pages
Book Rating : 4.0/5 (39 download)

DOWNLOAD NOW!

Book Synopsis Security and Privacy in Communication Networks by : Joaquin Garcia-Alfaro

Download or read book Security and Privacy in Communication Networks written by Joaquin Garcia-Alfaro and published by Springer Nature. This book was released on 2021-11-02 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNICST 398 and 399 constitutes the post-conference proceedings of the 17th International Conference on Security and Privacy in Communication Networks, SecureComm 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 56 full papers were carefully reviewed and selected from 143 submissions. The papers focus on the latest scientific research results in security and privacy in wired, mobile, hybrid and ad hoc networks, in IoT technologies, in cyber-physical systems, in next-generation communication systems in web and systems security and in pervasive and ubiquitous computing.

Computer Vision – ECCV 2018 Workshops

Author : Laura Leal-Taixé
Publisher : Springer
ISBN 13 : 3030110125
Total Pages : 719 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Computer Vision – ECCV 2018 Workshops by : Laura Leal-Taixé

Download or read book Computer Vision – ECCV 2018 Workshops written by Laura Leal-Taixé and published by Springer. This book was released on 2019-01-28 with total page 719 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six-volume set comprising the LNCS volumes 11129-11134 constitutes the refereed proceedings of the workshops that took place in conjunction with the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.43 workshops from 74 workshops proposals were selected for inclusion in the proceedings. The workshop topics present a good orchestration of new trends and traditional issues, built bridges into neighboring fields, and discuss fundamental technologies and novel applications.

Machine Learning and Knowledge Discovery in Databases

Author : Ulf Brefeld
Publisher : Springer Nature
ISBN 13 : 3030461335
Total Pages : 819 pages
Book Rating : 4.0/5 (34 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Ulf Brefeld

Download or read book Machine Learning and Knowledge Discovery in Databases written by Ulf Brefeld and published by Springer Nature. This book was released on 2020-04-30 with total page 819 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume proceedings LNAI 11906 – 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Würzburg, Germany, in September 2019. The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions; there are 10 papers in the demo track. The contributions were organized in topical sections named as follows: Part I: pattern mining; clustering, anomaly and outlier detection, and autoencoders; dimensionality reduction and feature selection; social networks and graphs; decision trees, interpretability, and causality; strings and streams; privacy and security; optimization. Part II: supervised learning; multi-label learning; large-scale learning; deep learning; probabilistic models; natural language processing. Part III: reinforcement learning and bandits; ranking; applied data science: computer vision and explanation; applied data science: healthcare; applied data science: e-commerce, finance, and advertising; applied data science: rich data; applied data science: applications; demo track.

Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019)

Author : Martin Lames
Publisher : Springer Nature
ISBN 13 : 3030350487
Total Pages : 212 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019) by : Martin Lames

Download or read book Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019) written by Martin Lames and published by Springer Nature. This book was released on 2019-11-13 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of current activities in the fascinating area between computer science and sports, presenting the state of the art in utilising the latest developments in computer science to support sports coaches and athletes. It covers a broad range of topics reflecting the diversity of this interdisciplinary field, including concepts in informatics like expert systems, modelling, simulation, machine learning, robotics, and sensor integration. Further, it describes applications of computer science in sports, such as alpine skiing, badminton, football, rowing, and table tennis, as well as interesting applications areas of sport like dementia, physiology, training, and space flights. The appeals to informaticians interested in the application field of sports as well as for sports scientists and practitioners looking for advanced methods in their particular sport.

Fog and Fogonomics

Author : Yang Yang
Publisher : John Wiley & Sons
ISBN 13 : 1119501105
Total Pages : 416 pages
Book Rating : 4.1/5 (195 download)

DOWNLOAD NOW!

Book Synopsis Fog and Fogonomics by : Yang Yang

Download or read book Fog and Fogonomics written by Yang Yang and published by John Wiley & Sons. This book was released on 2020-01-14 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: THE ONE-STOP RESOURCE FOR ANY INDIVIDUAL OR ORGANIZATION CONSIDERING FOG COMPUTING Fog and Fogonomics is a comprehensive and technology-centric resource that highlights the system model, architectures, building blocks, and IEEE standards for fog computing platforms and solutions. The "fog" is defined as the multiple interconnected layers of computing along the continuum from cloud to endpoints such as user devices and things including racks or microcells in server closets, residential gateways, factory control systems, and more. The authors—noted experts on the topic—review business models and metrics that allow for the economic assessment of fog-based information communication technology (ICT) resources, especially mobile resources. The book contains a wide range of templates and formulas for calculating quality-of-service values. Comprehensive in scope, it covers topics including fog computing technologies and reference architecture, fog-related standards and markets, fog-enabled applications and services, fog economics (fogonomics), and strategy. This important resource: Offers a comprehensive text on fog computing Discusses pricing, service level agreements, service delivery, and consumption of fog computing Examines how fog has the potential to change the information and communication technology industry in the next decade Describes how fog enables new business models, strategies, and competitive differentiation, as with ecosystems of connected and smart digital products and services Includes case studies featuring integration of fog computing, communication, and networking systems Written for product and systems engineers and designers, as well as for faculty and students, Fog and Fogonomics is an essential book that explores the technological and economic issues associated with fog computing.

Hyperspectral Remote Sensing in Urban Environments

Author : Shailesh Shankar Deshpande
Publisher : CRC Press
ISBN 13 : 1000955117
Total Pages : 301 pages
Book Rating : 4.0/5 (9 download)

DOWNLOAD NOW!

Book Synopsis Hyperspectral Remote Sensing in Urban Environments by : Shailesh Shankar Deshpande

Download or read book Hyperspectral Remote Sensing in Urban Environments written by Shailesh Shankar Deshpande and published by CRC Press. This book was released on 2023-10-31 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to provide a detailed perspective on techniques and challenges in detecting urban materials using hyperspectral data including a systematic perspective on the spectral properties of the materials and methods. It adopts a process chain approach in describing the topic and explains image processing steps from reflectance calibration to final insights. The objective of the book is to provide in-depth information on hyperspectral remote sensing of urban materials covering global case studies as applicable. Features: Covers the complete processing chain of hyperspectral data specifically in urban environments; Gives more information about the mapping and classification of urban scenes; Includes information from basic imaging spectroscopy to advanced methods such as deep learning for imaging spectroscopy; Reviews detailed spectral characteristics of urban materials commonly found in world cities; Discusses advanced supervised methods such as deep learning with a due focus on hyperspectral data analysis. This book is aimed at professionals and graduate students in Hyperspectral Imaging, Urban Remote Sensing, and Hyperspectral Image Processing.

Engineering Mathematics and Artificial Intelligence

Author : Herb Kunze
Publisher : CRC Press
ISBN 13 : 1000907872
Total Pages : 530 pages
Book Rating : 4.0/5 (9 download)

DOWNLOAD NOW!

Book Synopsis Engineering Mathematics and Artificial Intelligence by : Herb Kunze

Download or read book Engineering Mathematics and Artificial Intelligence written by Herb Kunze and published by CRC Press. This book was released on 2023-07-26 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains the theory behind Machine Learning and highlights how Mathematics can be used in Artificial Intelligence Illustrates how to improve existing algorithms by using advanced mathematics and discusses how Machine Learning can support mathematical modeling Captures how to simulate data by means of artificial neural networks and offers cutting-edge Artificial Intelligence technologies Emphasizes the classification of algorithms, optimization methods, and statistical techniques Explores future integration between Machine Learning and complex mathematical techniques

Adversarial Learning and Secure AI

Author : David J. Miller
Publisher : Cambridge University Press
ISBN 13 : 1009315676
Total Pages : 375 pages
Book Rating : 4.0/5 (93 download)

DOWNLOAD NOW!

Book Synopsis Adversarial Learning and Secure AI by : David J. Miller

Download or read book Adversarial Learning and Secure AI written by David J. Miller and published by Cambridge University Press. This book was released on 2023-08-31 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first textbook on adversarial machine learning, including both attacks and defenses, background material, and hands-on student projects.

Synthetic Data for Deep Learning

Author : Sergey I. Nikolenko
Publisher : Springer Nature
ISBN 13 : 3030751783
Total Pages : 348 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Synthetic Data for Deep Learning by : Sergey I. Nikolenko

Download or read book Synthetic Data for Deep Learning written by Sergey I. Nikolenko and published by Springer Nature. This book was released on 2021-06-26 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book on synthetic data for deep learning, and its breadth of coverage may render this book as the default reference on synthetic data for years to come. The book can also serve as an introduction to several other important subfields of machine learning that are seldom touched upon in other books. Machine learning as a discipline would not be possible without the inner workings of optimization at hand. The book includes the necessary sinews of optimization though the crux of the discussion centers on the increasingly popular tool for training deep learning models, namely synthetic data. It is expected that the field of synthetic data will undergo exponential growth in the near future. This book serves as a comprehensive survey of the field. In the simplest case, synthetic data refers to computer-generated graphics used to train computer vision models. There are many more facets of synthetic data to consider. In the section on basic computer vision, the book discusses fundamental computer vision problems, both low-level (e.g., optical flow estimation) and high-level (e.g., object detection and semantic segmentation), synthetic environments and datasets for outdoor and urban scenes (autonomous driving), indoor scenes (indoor navigation), aerial navigation, and simulation environments for robotics. Additionally, it touches upon applications of synthetic data outside computer vision (in neural programming, bioinformatics, NLP, and more). It also surveys the work on improving synthetic data development and alternative ways to produce it such as GANs. The book introduces and reviews several different approaches to synthetic data in various domains of machine learning, most notably the following fields: domain adaptation for making synthetic data more realistic and/or adapting the models to be trained on synthetic data and differential privacy for generating synthetic data with privacy guarantees. This discussion is accompanied by an introduction into generative adversarial networks (GAN) and an introduction to differential privacy.