Stream Data Mining Algorithms And Their Probabilistic Properties
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Stream Data Mining Algorithms And Their Probabilistic Properties
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Author : Leszek Rutkowski
language : en
Publisher: Springer
Release Date : 2019-03-16
Stream Data Mining Algorithms And Their Probabilistic Properties written by Leszek Rutkowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-16 with Computers categories.
This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. First, it describes how to adapt static decision trees to accommodate data streams; in this regard, new splitting criteria are developed to guarantee that they are asymptotically equivalent to the classical batch tree. Moreover, new decision trees are designed, leading to the original concept of hybrid trees. In turn, nonparametric techniques based on Parzen kernels and orthogonal series are employed to address concept drift in the problem of non-stationary regressions and classification in a time-varying environment. Lastly, an extremely challenging problem that involves designing ensembles and automatically choosing their sizes is described and solved. Given its scope, the book is intended for a professional audience of researchers and practitioners who dealwith stream data, e.g. in telecommunication, banking, and sensor networks.
Artificial Intelligence And Soft Computing
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Author : Leszek Rutkowski
language : en
Publisher: Springer
Release Date : 2019-05-27
Artificial Intelligence And Soft Computing written by Leszek Rutkowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-27 with Computers categories.
The two-volume set LNCS 11508 and 11509 constitutes the refereed proceedings of of the 18th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2019, held in Zakopane, Poland, in June 2019. The 122 revised full papers presented were carefully reviewed and selected from 333 submissions. The papers included in the first volume are organized in the following five parts: neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; artificial intelligence in modeling and simulation. The papers included in the second volume are organized in the following five parts: computer vision, image and speech analysis; bioinformatics, biometrics, and medical applications; data mining; various problems of artificial intelligence; agent systems, robotics and control.
Neural Information Processing
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Author : Tom Gedeon
language : en
Publisher: Springer Nature
Release Date : 2019-12-05
Neural Information Processing written by Tom Gedeon and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-05 with Computers categories.
The two-volume set CCIS 1142 and 1143 constitutes thoroughly refereed contributions presented at the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019. For ICONIP 2019 a total of 345 papers was carefully reviewed and selected for publication out of 645 submissions. The 168 papers included in this volume set were organized in topical sections as follows: adversarial networks and learning; convolutional neural networks; deep neural networks; embeddings and feature fusion; human centred computing; human centred computing and medicine; human centred computing for emotion; hybrid models; image processing by neural techniques; learning from incomplete data; model compression and optimization; neural network applications; neural network models; semantic and graph based approaches; social network computing; spiking neuron and related models; text computing using neural techniques; time-series and related models; and unsupervised neural models.
Neural Information Processing
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Author : Mufti Mahmud
language : en
Publisher: Springer Nature
Release Date : 2025-06-25
Neural Information Processing written by Mufti Mahmud and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-25 with Computers categories.
The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
Cloud Computing Big Data Emerging Topics
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Author : Enzo Rucci
language : en
Publisher: Springer Nature
Release Date : 2022-08-04
Cloud Computing Big Data Emerging Topics written by Enzo Rucci and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-04 with Computers categories.
This book constitutes the revised selected papers of the 10th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2022, held in La Plata, Argentina*, in June-July 2022. The 9 full papers were carefully reviewed and selected from a total of 23 submissions. The papers are organized in topical sections on: Parallel and Distributed Computing; Machine and Deep Learning; Cloud and High-Performance Computing, Machine and Deep Learning, and Virtual Reality.
Connected E Health
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Author : Sushruta Mishra
language : en
Publisher: Springer Nature
Release Date : 2022-05-05
Connected E Health written by Sushruta Mishra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-05 with Technology & Engineering categories.
With rise of smart medical sensors, cloud computing and the health care technologies, “connected health” is getting remarkable consideration everywhere. Recently, the Internet of Things (IoT) has brought the vision of a smarter world into reality. Cloud computing fits well in this scenario as it can provide high quality of clinical experience. Thus an IoT-cloud convergence can play a vital role in healthcare by offering better insight of heterogeneous healthcare content supporting quality care. It can also support powerful processing and storage facilities of huge data to provide automated decision making. This book aims to report quality research on recent advances towards IoT-Cloud convergence for smart healthcare, more specifically to the state-of-the-art approaches, design, development and innovative use of those convergence methods for providing insights into healthcare service demands. Students, researchers, and medical experts in the field of information technology, medicine, cloud computing, soft computing technologies, IoT and the related fields can benefit from this handbook in handling real-time challenges in healthcare. Current books are limited to focus either on soft computing algorithms or smart healthcare. Integration of smart and cloud computing models in healthcare resulting in connected health is explored in detail in this book.
Machine Intelligence And Big Data Analytics For Cybersecurity Applications
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Author : Yassine Maleh
language : en
Publisher: Springer Nature
Release Date : 2020-12-14
Machine Intelligence And Big Data Analytics For Cybersecurity Applications written by Yassine Maleh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-14 with Computers categories.
This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today’s IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in the development of secure systems and identifies open and future research issues related to the application of machine intelligence in the cybersecurity field. Bridging an important gap between machine intelligence, big data, and cybersecurity communities, it aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and big data analytics for cybersecurity applications.
Principles Of Verification Cycling The Probabilistic Landscape
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Author : Nils Jansen
language : en
Publisher: Springer Nature
Release Date : 2024-11-12
Principles Of Verification Cycling The Probabilistic Landscape written by Nils Jansen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-12 with Computers categories.
This Festschrift is dedicated to Joost-Pieter Katoen in recognition of his outstanding research, teaching, and organizational successes. Joost-Pieter received his Master's and later his Ph.D. from the University of Twente, and his Professional Doctorate in Engineering from Eindhoven University of Technology. He had research positions at the University of Erlangen-Nuremberg and Philips Research, and visiting professorships in France, Australia, and the UK. Since 2004 he has been a professor at RWTH Aachen University and is part-time associated with the University of Twente. Joost-Pieter's main areas of research are formal methods, computer-aided verification, concurrency theory, probabilistic computation, and semantics. Among many recognitions for this work, he is an ACM Fellow; he was elected as a member of the Academia Europaea, the Royal Holland Society of Science and Humanities, the North Rhine-Westphalian Academy of Science, Humanities and the Arts, and the Leopoldina, the German National Academy of Sciences; he received an honorary doctorate from Aalborg University. He was awarded an ERC Advanced Grant; he has won best paper, distinguished paper, or test-of-time awards at key conferences such as ETAPS, IEEE SRDS, POPL, CONCUR, and LOPSTR; and he has given keynotes at dozens of major events. He has chaired the Steering Committee of the European Joint Conferences on Theory and Practice of Software (ETAPS) and the TACAS conference; he has been Program Chair, General Chair, or Program Committee member of hundreds of major conferences and workshops, and a board member of key journals; he has served on research boards (such as the EPSRC), doctoral committees, school and university committees, and IFIP working groups; and he coauthored Principles of Model Checking, a highly influential textbook. Throughout his career Joost-Pieter has been a remarkably successful teacher and mentor, supervising students and hosting postdoctoral researchers, many of whom have won awards for their research and advanced to senior positions, and he has collaborated in research and publications with a wide range of scientists. These successes are reflected in the papers contributed to this volume.
Frequent Pattern Mining
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Author : Charu C. Aggarwal
language : en
Publisher: Springer
Release Date : 2014-08-29
Frequent Pattern Mining written by Charu C. Aggarwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-29 with Computers categories.
This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.
Advances In Knowledge Discovery And Data Mining
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Author : Vincent S. Tseng
language : en
Publisher: Springer
Release Date : 2014-05-08
Advances In Knowledge Discovery And Data Mining written by Vincent S. Tseng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-08 with Computers categories.
The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.