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Author : Lisa Singh
Publisher :
ISBN 13 : 9781728144931
Total Pages : pages
Book Rating : 4.1/5 (449 download)
Download or read book 2019 IEEE International Conference on Data Science and Advanced Analytics written by Lisa Singh and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ashish Khanna
Publisher : Springer Nature
ISBN 13 : 9811976155
Total Pages : 890 pages
Book Rating : 4.8/5 (119 download)
Download or read book Proceedings of Data Analytics and Management written by Ashish Khanna and published by Springer Nature. This book was released on 2023-03-24 with total page 890 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2022), held at tThe Karkonosze University of Applied Sciences, Poland, during June 2022. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.
Author : Apu Kumar Saha
Publisher : Springer Nature
ISBN 13 : 3031713885
Total Pages : 343 pages
Book Rating : 4.0/5 (317 download)
Download or read book Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2023) written by Apu Kumar Saha and published by Springer Nature. This book was released on with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Eriks Klotins
Publisher : Springer Nature
ISBN 13 : 3030672921
Total Pages : 237 pages
Book Rating : 4.0/5 (36 download)
Download or read book Software Business written by Eriks Klotins and published by Springer Nature. This book was released on 2021-01-21 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Software Business, ICSOB 2020, which was held during November 16-18, 2020. The conference was originally planned to take place in Karlskrona, Sweden, but changed to an online format due to the COVID-19 pandemic. The 13 full papers and 5 short papers presented were carefully reviewed and selected from 39 submissions. They deal with a range of topics including practices for engineering and marketing software-intensive products, extracting business value from machine learning based software components, ethical considerations of the software business, software ecosystems, and pedagogy of teaching entrepreneurship and software business.
Author : Bibudhendu Pati
Publisher : Springer Nature
ISBN 13 : 981192225X
Total Pages : 686 pages
Book Rating : 4.8/5 (119 download)
Download or read book Proceedings of the 6th International Conference on Advance Computing and Intelligent Engineering written by Bibudhendu Pati and published by Springer Nature. This book was released on 2022-09-21 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers high-quality research papers presented at the 6th International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2021) organized by Bhubaneswar Institute of Technology, Bhubaneswar, Odisha, India, during December 23–24, 2021. It includes sections describing technical advances and the latest research in the fields of computing and intelligent engineering. Intended for graduate students and researchers working in the disciplines of computer science and engineering, the proceedings also appeal to researchers in the field of electronics, as they cover hardware technologies and future communication technologies.
Author : Pedro Henriques Abreu
Publisher : Springer Nature
ISBN 13 : 3030742512
Total Pages : 454 pages
Book Rating : 4.0/5 (37 download)
Download or read book Advances in Intelligent Data Analysis XIX written by Pedro Henriques Abreu and published by Springer Nature. This book was released on 2021-04-12 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 19th International Symposium on Intelligent Data Analysis, IDA 2021, which was planned to take place in Porto, Portugal. Due to the COVID-19 pandemic the conference was held online during April 26-28, 2021. The 35 papers included in this book were carefully reviewed and selected from 113 submissions. The papers were organized in topical sections named: modeling with neural networks; modeling with statistical learning; modeling language and graphs; and modeling special data formats.
Author : Bonchi Francesco
Publisher : Springer Nature
ISBN 13 : 3031792106
Total Pages : 133 pages
Book Rating : 4.0/5 (317 download)
Download or read book Correlation Clustering written by Bonchi Francesco and published by Springer Nature. This book was released on 2022-05-31 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Given a set of objects and a pairwise similarity measure between them, the goal of correlation clustering is to partition the objects in a set of clusters to maximize the similarity of the objects within the same cluster and minimize the similarity of the objects in different clusters. In most of the variants of correlation clustering, the number of clusters is not a given parameter; instead, the optimal number of clusters is automatically determined. Correlation clustering is perhaps the most natural formulation of clustering: as it just needs a definition of similarity, its broad generality makes it applicable to a wide range of problems in different contexts, and, particularly, makes it naturally suitable to clustering structured objects for which feature vectors can be difficult to obtain. Despite its simplicity, generality, and wide applicability, correlation clustering has so far received much more attention from an algorithmic-theory perspective than from the data-mining community. The goal of this lecture is to show how correlation clustering can be a powerful addition to the toolkit of a data-mining researcher and practitioner, and to encourage further research in the area.
Author : Giovanni Casini
Publisher : Frontiers Media SA
ISBN 13 : 2832501400
Total Pages : 127 pages
Book Rating : 4.8/5 (325 download)
Download or read book Neurodegeneration and Neuroprotection in Retinal Disease, Volume II written by Giovanni Casini and published by Frontiers Media SA. This book was released on 2022-10-03 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Gisele Pappa
Publisher : Springer Nature
ISBN 13 : 3031295730
Total Pages : 366 pages
Book Rating : 4.0/5 (312 download)
Download or read book Genetic Programming written by Gisele Pappa and published by Springer Nature. This book was released on 2023-03-28 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 26th European Conference on Genetic Programming, EuroGP 2023, held as part of EvoStar 2023, in Brno, Czech Republic, during April 12–14, 2023, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EvoApplications. The 14 revised full papers and 8 short papers presented in this book were carefully reviewed and selected from 38 submissions. The wide range of topics in this volume reflects the current state of research in the field. The collection of papers cover topics including developing new variants of GP algorithms for both optimization and machine learning problems as well as exploring GP to address complex real-world problems.
Author : Annmarie Hanlon
Publisher : SAGE
ISBN 13 : 1529788439
Total Pages : 425 pages
Book Rating : 4.5/5 (297 download)
Download or read book The SAGE Handbook of Social Media Marketing written by Annmarie Hanlon and published by SAGE. This book was released on 2022-06-16 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social media marketing has become indispensable for marketers who utilize social media to achieve marketing objectives ranging from customer care to advertising to commerce. This Handbook explores the foundations and methodologies in analysing the important aspects of social media for organisations and consumers. It investigates critical areas concerning communities, culture, communication and content, and considers social media sales. This Handbook brings together the critical factors in social media marketing as the essential reference set for researchers in this area of continued growth. It is essential reading for postgraduate students, researchers, and practitioners in a range of disciplines exploring the area. Part 1: Foundations of Social Media Marketing Part 2: Methodologies and Theories in Social Media Part 3: Channels and Platforms in Social Media Part 4: Tools, Tactics, and Techniques in Social Media Marketing Part 5: Management and Metrics in Social Media Part 6: Ethical Issues in Social Media
Author : Habib, Maki K.
Publisher : IGI Global
ISBN 13 : 1799886875
Total Pages : 589 pages
Book Rating : 4.7/5 (998 download)
Download or read book Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning written by Habib, Maki K. and published by IGI Global. This book was released on 2022-02-25 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology spreads globally, researchers and scientists continue to develop and study the strategy behind creating artificial life. This research field is ever expanding, and it is essential to stay current in the contemporary trends in artificial life, artificial intelligence, and machine learning. This an important topic for researchers and scientists in the field as well as industry leaders who may adapt this technology. The Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning provides concepts, theories, systems, technologies, and procedures that exhibit properties, phenomena, or abilities of any living system or human. This major reference work includes the most up-to-date research on techniques and technologies supporting AI and machine learning. Covering topics such as behavior classification, quality control, and smart medical devices, it serves as an essential resource for graduate students, academicians, stakeholders, practitioners, and researchers and scientists studying artificial life, cognition, AI, biological inspiration, machine learning, and more.
Author : M. Arif Wani
Publisher : Springer Nature
ISBN 13 : 9811961530
Total Pages : 394 pages
Book Rating : 4.8/5 (119 download)
Download or read book Deep Learning Applications, Volume 4 written by M. Arif Wani and published by Springer Nature. This book was released on 2022-11-25 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a compilation of extended versions of selected papers from 20th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2021). It focuses on deep learning networks and their applications in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments. It highlights novel ways of using deep neural networks to solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers. The book is fourth in the series published since 2017.
Author : Marc Zeller
Publisher : Springer Nature
ISBN 13 : 303058920X
Total Pages : 255 pages
Book Rating : 4.0/5 (35 download)
Download or read book Model-Based Safety and Assessment written by Marc Zeller and published by Springer Nature. This book was released on 2020-09-03 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 7th International Symposium on Model-Based Safety and Assessment, IMBSA 2020, held in Lisbon, Portugal, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 15 revised full papers and 4 short papers presented were carefully reviewed and selected from 30 initial submissions. The papers are organized in topical sections on safety models and languages; state-space modeling; dependability analysis process; safety assessment in automotive domain; AI and safety assurance.
Author : Yuxiao Dong
Publisher : Springer Nature
ISBN 13 : 3030676706
Total Pages : 608 pages
Book Rating : 4.0/5 (36 download)
Download or read book Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track written by Yuxiao Dong and published by Springer Nature. This book was released on 2021-02-24 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning. Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.
Author : Archana Mire
Publisher : John Wiley & Sons
ISBN 13 : 1119791758
Total Pages : 436 pages
Book Rating : 4.1/5 (197 download)
Download or read book Advanced Analytics and Deep Learning Models written by Archana Mire and published by John Wiley & Sons. This book was released on 2022-06-01 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Analytics and Deep Learning Models The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc. Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools. However, deep learning and data analysis both are high centers of data science. Almost all the private and public organizations collect heavy amounts of data, i.e., domain-specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data making it beneficial and effective for big data. Deep learning can be used to deal with all kinds of problems and challenges that include collecting unlabeled and uncategorized raw data, extracting complex patterns from a large amount of data, retrieving fast information, tagging data, etc. This book contains 16 chapters on artificial intelligence, machine learning, deep learning, and their uses in many useful sectors like stock market prediction, a recommendation system for better service selection, e-healthcare, telemedicine, transportation. There are also chapters on innovations and future opportunities with fog computing/cloud computing and artificial intelligence. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in healthcare, telemedicine, transportation, and the financial sector. The book will also be a great source for software engineers and advanced students who are beginners in the field of advanced analytics in deep learning.
Author : Kanubhai K. Patel
Publisher : Springer Nature
ISBN 13 : 3031276094
Total Pages : 491 pages
Book Rating : 4.0/5 (312 download)
Download or read book Soft Computing and Its Engineering Applications written by Kanubhai K. Patel and published by Springer Nature. This book was released on 2023-03-07 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Soft Computing and its Engineering Applications, icSoftComp 2022, held in Changa, Anand, India during December 9–10, 2022. The 33 full papers and 3 short papers included in this book were carefully reviewed and selected from 342 submissions. They were organized in topical sections as follows: Theory and Methods; Systems and Applications; and Hybrid Techniques.
Author : Wang, John
Publisher : IGI Global
ISBN 13 : 1799892212
Total Pages : 3296 pages
Book Rating : 4.7/5 (998 download)
Download or read book Encyclopedia of Data Science and Machine Learning written by Wang, John and published by IGI Global. This book was released on 2023-01-20 with total page 3296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
