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2019 Ieee International Conference On Big Knowledge Icbk
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Book Synopsis 2019 IEEE International Conference on Big Knowledge (ICBK) by : IEEE Staff
Download or read book 2019 IEEE International Conference on Big Knowledge (ICBK) written by IEEE Staff and published by . This book was released on 2019-11-10 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ICBK draws researchers and application developers from a wide range of Big Knowledge related areas such as knowledge engineering, big data analytics, statistics, machine learning, pattern recognition, data mining, knowledge visualization, high performance computing, and World Wide Web
Book Synopsis 2017 IEEE International Conference on Big Knowledge (ICBK) by : IEEE Staff
Download or read book 2017 IEEE International Conference on Big Knowledge (ICBK) written by IEEE Staff and published by . This book was released on 2017-08-09 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The IEEE International Conference on Big Knowledge (ICBK) provides a premier international forum for presentation of original research results in Big Knowledge opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences The conference covers all aspects of Big Knowledge, including algorithms, software, systems, and applications ICBK draws researchers and application developers from a wide range of Big Knowledge related areas such as statistics, machine learning, pattern recognition, knowledge visualization, expert systems, high performance computing, World Wide Web, and big data analytics
Book Synopsis Proceedings of the 5th International Conference on Big Data and Internet of Things by : Mohamed Lazaar
Download or read book Proceedings of the 5th International Conference on Big Data and Internet of Things written by Mohamed Lazaar and published by Springer Nature. This book was released on 2022-07-03 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of papers in the research area of big data, cloud computing, cybersecurity, machine learning, deep learning, e-learning, Internet of Things, reinforcement learning, information system, social media and natural language processing. This book includes papers presented at the 5th International Conference on Big Data Cloud and Internet of Things, BDIoT 2021 during March 17–18, 2021, at ENSIAS, Mohammed V University in Rabat, Morocco.
Book Synopsis Proceedings, 10th IEEE International Conference on Big Knowledge by : Yunjun Gao
Download or read book Proceedings, 10th IEEE International Conference on Big Knowledge written by Yunjun Gao and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis 2017 IEEE International Conference on Big Knowledge by : Xindong Wu
Download or read book 2017 IEEE International Conference on Big Knowledge written by Xindong Wu and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Innovative Computing by : Chao-Tung Yang
Download or read book Innovative Computing written by Chao-Tung Yang and published by Springer Nature. This book was released on 2020-09-25 with total page 1858 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers peer-reviewed proceedings of the 3rd International Conference on Innovative Computing (IC 2020). This book aims to provide an open forum for discussing recent advances and emerging trends in information technology, science, and engineering. Themes within the scope of the conference include Communication Networks, Business Intelligence and Knowledge Management, Web Intelligence, and any related fields that depend on the development of information technology. The respective contributions presented here cover a wide range of topics, from databases and data mining, networking and communications, the web and Internet of Things, to embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. Readers such as students, researchers, and industry professionals in the fields of cloud computing, Internet of Things, machine learning, information security, multimedia systems, and information technology benefit from this comprehensive overview of the latest advances in information technology. The book can also benefit young investigators looking to start a new research program.
Book Synopsis Discovery of Ill–Known Motifs in Time Series Data by : Sahar Deppe
Download or read book Discovery of Ill–Known Motifs in Time Series Data written by Sahar Deppe and published by Springer Nature. This book was released on 2021-10-01 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes a novel motif discovery for time series, KITE (ill-Known motIf discovery in Time sEries data), to identify ill-known motifs transformed by affine mappings such as translation, uniform scaling, reflection, stretch, and squeeze mappings. Additionally, such motifs may be covered with noise or have variable lengths. Besides KITE’s contribution to motif discovery, new avenues for the signal and image processing domains are explored and created. The core of KITE is an invariant representation method called Analytic Complex Quad Tree Wavelet Packet transform (ACQTWP). This wavelet transform applies to motif discovery as well as to several signal and image processing tasks. The efficiency of KITE is demonstrated with data sets from various domains and compared with state-of-the-art algorithms, where KITE yields the best outcomes.
Book Synopsis Proceedings of International Conference on Innovations in Software Architecture and Computational Systems by : Jyotsna Kumar Mandal
Download or read book Proceedings of International Conference on Innovations in Software Architecture and Computational Systems written by Jyotsna Kumar Mandal and published by Springer Nature. This book was released on 2021-10-11 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers a collection of high-quality peer-reviewed research papers presented at First International Conference on Innovations in Software Architecture and Computational Systems (ISACS 2021), held at Guru Nanak Institute of Technology, Kolkata, India, during 2 – 3 April 2021. The book primarily focuses on developing artificial intelligence-based algorithms and methodologies for enabling intelligent hardware and software systems. This book brings together the latest findings on efficient technological solutions for developing intelligent and hybrid systems, intelligent software architecture, machine intelligence-based analytical tools and also smart sensors and networks. The prime focus is on solving technological problems using state-of-the-art research finding like fuzzy computing, evolutionary and hybrid frameworks, neuro-computing, etc., along with other AI-based computation platforms. The book offers a valuable resource for all undergraduate, postgraduate students and researchers interested in exploring solution frameworks for social good problems using artificial intelligence.
Book Synopsis Advances on P2P, Parallel, Grid, Cloud and Internet Computing by : Leonard Barolli
Download or read book Advances on P2P, Parallel, Grid, Cloud and Internet Computing written by Leonard Barolli and published by Springer Nature. This book was released on 2022-10-17 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to P2P, Grid, Cloud and Internet computing as well as to reveal synergies among such large-scale computing paradigms. P2P, Grid, Cloud and Internet computing technologies have been very fast established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources at large scale. Grid Computing originated as a paradigm for high-performance computing, as an alternative to expensive supercomputers through different forms of large-scale distributed computing. P2P Computing emerged as a new paradigm after client–server and web-based computing and has shown useful to the development of social networking, B2B (Business to Business), B2C (Business to Consumer), B2G (Business to Government), B2E (Business to Employee) and so on. Cloud Computing has been defined as a “computing paradigm where the boundaries of computing are determined by economic rationale rather than technical limits.” Cloud computing has fast become the computing paradigm with applicability and adoption in all application domains and providing utility computing at large scale. Finally, Internet Computing is the basis of any large-scale distributed computing paradigms; it has very fast developed into a vast area of flourishing field with enormous impact on today’s information societies serving thus as a universal platform comprising a large variety of computing forms such as Grid, P2P, Cloud and mobile computing.
Book Synopsis Robust Latent Feature Learning for Incomplete Big Data by : Di Wu
Download or read book Robust Latent Feature Learning for Incomplete Big Data written by Di Wu and published by Springer Nature. This book was released on 2022-12-06 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: Incomplete big data are frequently encountered in many industrial applications, such as recommender systems, the Internet of Things, intelligent transportation, cloud computing, and so on. It is of great significance to analyze them for mining rich and valuable knowledge and patterns. Latent feature analysis (LFA) is one of the most popular representation learning methods tailored for incomplete big data due to its high accuracy, computational efficiency, and ease of scalability. The crux of analyzing incomplete big data lies in addressing the uncertainty problem caused by their incomplete characteristics. However, existing LFA methods do not fully consider such uncertainty. In this book, the author introduces several robust latent feature learning methods to address such uncertainty for effectively and efficiently analyzing incomplete big data, including robust latent feature learning based on smooth L1-norm, improving robustness of latent feature learning using L1-norm, improving robustness of latent feature learning using double-space, data-characteristic-aware latent feature learning, posterior-neighborhood-regularized latent feature learning, and generalized deep latent feature learning. Readers can obtain an overview of the challenges of analyzing incomplete big data and how to employ latent feature learning to build a robust model to analyze incomplete big data. In addition, this book provides several algorithms and real application cases, which can help students, researchers, and professionals easily build their models to analyze incomplete big data.
Book Synopsis Advances in Computer Graphics by : Bin Sheng
Download or read book Advances in Computer Graphics written by Bin Sheng and published by Springer Nature. This book was released on 2024-01-19 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 4-volume set of LNCS 14495-14498 constitutes the proceedings of the 40th Computer Graphics International Conference, CGI 2023, held in Shanghai, China, August 28 – September 1, 2023. The 149 papers in this set were carefully reviewed and selected from 385 submissions. They are organized in topical sections as follows: Detection and Recognition; Image Analysis and Processing; Image Restoration and Enhancement; Image Attention and Perception; Reconstruction; Rendering and Animation; Synthesis and Generation; Visual Analytics and Modeling; Graphics and AR/VR; Medical Imaging and Robotics; Theoretical Analysis; Image Analysis and Visualization in Advanced Medical Imaging Technology; Empowering Novel Geometric Algebra for Graphics and Engineering.
Book Synopsis Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry by : Valentina Colla
Download or read book Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry written by Valentina Colla and published by Springer Nature. This book was released on 2021-02-04 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects perceptions and needs expectations and experiences concerning the application of Artificial Intelligence (AI) and Machine Learning in the steel sector. It contains a selection of themes discussed within the Workshop entitled “Impact and Opportunities of Artificial Intelligence in the Steel Industry” organized by the European Steel Technology Platform as an online event from October 15 until November 5, 2020. The event aimed at analyzing the diffusion of AI technologies in steelworks and at providing indications for future research, development and innovation actions addressing the sector demands. The chapters treat general analyses on transversal themes and applications for process optimization, product quality enhancement, yield increase, optimal exploitation of resources and smart data handling. The book is devoted to researchers and technicians in the steel or AI fields as well as for managers and policymakers exploring the opportunities provided by AI in industry.
Book Synopsis Machine Learning and Knowledge Discovery in Databases: Research Track by : Danai Koutra
Download or read book Machine Learning and Knowledge Discovery in Databases: Research Track written by Danai Koutra and published by Springer Nature. This book was released on 2023-09-17 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: Robustness; Time Series; Transfer and Multitask Learning. Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.
Book Synopsis Preference-based Spatial Co-location Pattern Mining by : Lizhen Wang
Download or read book Preference-based Spatial Co-location Pattern Mining written by Lizhen Wang and published by Springer Nature. This book was released on 2022-01-04 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of information technology has made it possible to collect large amounts of spatial data on a daily basis. It is of enormous significance when it comes to discovering implicit, non-trivial and potentially valuable information from this spatial data. Spatial co-location patterns reveal the distribution rules of spatial features, which can be valuable for application users. This book provides commercial software developers with proven and effective algorithms for detecting and filtering these implicit patterns, and includes easily implemented pseudocode for all the algorithms. Furthermore, it offers a basis for further research in this promising field. Preference-based co-location pattern mining refers to mining constrained or condensed co-location patterns instead of mining all prevalent co-location patterns. Based on the authors’ recent research, the book highlights techniques for solving a range of problems in this context, including maximal co-location pattern mining, closed co-location pattern mining, top-k co-location pattern mining, non-redundant co-location pattern mining, dominant co-location pattern mining, high utility co-location pattern mining, user-preferred co-location pattern mining, and similarity measures between spatial co-location patterns. Presenting a systematic, mathematical study of preference-based spatial co-location pattern mining, this book can be used both as a textbook for those new to the topic and as a reference resource for experienced professionals.
Download or read book Web and Big Data written by Wenjie Zhang and published by Springer Nature. This book was released on with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book ECAI 2023 written by K. Gal and published by IOS Press. This book was released on 2023-10-18 with total page 3328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrate innovative applications and uses of advanced AI technology. ECAI 2023 received 1896 submissions – a record number – of which 1691 were retained for review, ultimately resulting in an acceptance rate of 23%. The 390 papers included here, cover topics including machine learning, natural language processing, multi agent systems, and vision and knowledge representation and reasoning. PAIS 2023 received 17 submissions, of which 10 were accepted after a rigorous review process. Those 10 papers cover topics ranging from fostering better working environments, behavior modeling and citizen science to large language models and neuro-symbolic applications, and are also included here. Presenting a comprehensive overview of current research and developments in AI, the book will be of interest to all those working in the field.
Book Synopsis Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020) by : Gabriella Panuccio
Download or read book Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020) written by Gabriella Panuccio and published by Springer Nature. This book was released on 2020-07-22 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest research on practical applications of computational biology and bioinformatics, and addresses emerging experimental and sequencing techniques that are posing new challenges for bioinformatics and computational biology. Successfully applying these techniques calls for new algorithms and approaches from fields such as statistics, data mining, machine learning, optimization, computer science, and artificial intelligence. In response to these challenges, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences.These proceedings include 21 papers covering many different subfields of bioinformatics and computational biology. Focusing on interdisciplinary applications that combine e.g. bioinformatics, chemoinformatics, and system biology, they are intended to promote the collaboration of scientists from different research groups and with different backgrounds (computer scientists, mathematicians, biologists) to reach breakthrough solutions and overcome the challenges outlined above.
