Knowledge Discovery In Databases Pkdd 2007
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Knowledge Discovery In Databases Pkdd 2007
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Author : Joost N. Kok
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-08-31
Knowledge Discovery In Databases Pkdd 2007 written by Joost N. Kok 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 2007-08-31 with Computers categories.
This book constitutes the refereed proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2007, held in Warsaw, Poland, co-located with ECML 2007, the 18th European Conference on Machine Learning. The 28 revised full papers and 35 revised short papers present original results on leading-edge subjects of knowledge discovery from conventional and complex data and address all current issues in the area.
Knowledge Discovery From Sensor Data
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Author : Auroop R. Ganguly
language : en
Publisher: CRC Press
Release Date : 2008-12-10
Knowledge Discovery From Sensor Data written by Auroop R. Ganguly and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-10 with Business & Economics categories.
As sensors become ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including disaster preparedness and management, adaptability to climate change, national or homeland security, and the management of critical infrastructures. This book presents innovative solutions in offline data mining and real-time
Knowledge Discovery Enhanced With Semantic And Social Information
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Author : Bettina Berendt
language : en
Publisher: Springer
Release Date : 2009-07-09
Knowledge Discovery Enhanced With Semantic And Social Information written by Bettina Berendt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-09 with Technology & Engineering categories.
This book is showcases recent advances in knowledge discovery enhanced with semantic and social information. It includes eight chapters that grew out of joint workshops at ECML/PKDD 2007. The contributions emphasize the vision of the Web as a social medium.
Data Mining And Knowledge Discovery Handbook
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Author : Oded Maimon
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-10
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 2010-09-10 with Computers categories.
This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.
Rare Association Rule Mining And Knowledge Discovery Technologies For Infrequent And Critical Event Detection
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Author : Koh, Yun Sing
language : en
Publisher: IGI Global
Release Date : 2009-08-31
Rare Association Rule Mining And Knowledge Discovery Technologies For Infrequent And Critical Event Detection written by Koh, Yun Sing and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-31 with Business & Economics categories.
"This book provides readers with an in-depth compendium of current issues, trends, and technologies in association rule mining"--Provided by publisher.
A Comprehensive Guide Through The Italian Database Research Over The Last 25 Years
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Author : Sergio Flesca
language : en
Publisher: Springer
Release Date : 2017-05-29
A Comprehensive Guide Through The Italian Database Research Over The Last 25 Years written by Sergio Flesca and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-29 with Technology & Engineering categories.
This book offers readers a comprehensive guide to the evolution of the database field from its earliest stages up to the present—and from classical relational database management systems to the current Big Data metaphor. In particular, it gathers the most significant research from the Italian database community that had relevant intersections with international projects. Big Data technology is currently dominating both the market and research. The book provides readers with a broad overview of key research efforts in modelling, querying and analysing data, which, over the last few decades, have became massive and heterogeneous areas.
Machine Learning And Knowledge Discovery In Databases
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Author : Walter Daelemans
language : en
Publisher: Springer
Release Date : 2008-08-17
Machine Learning And Knowledge Discovery In Databases written by Walter Daelemans and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-17 with Computers categories.
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.
Knowledge Discovery In Databases
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Author : Joost N. Kok
language : en
Publisher:
Release Date : 2007
Knowledge Discovery In Databases written by Joost N. Kok and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Data mining categories.
Printbegrænsninger: Der kan printes kapitelvis.
Conference Proceedings Of Icdlair2019
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Author : Meenakshi Tripathi
language : en
Publisher: Springer Nature
Release Date : 2021-02-08
Conference Proceedings Of Icdlair2019 written by Meenakshi Tripathi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-08 with Computers categories.
This proceedings book includes the results from the International Conference on Deep Learning, Artificial Intelligence and Robotics, held in Malaviya National Institute of Technology, Jawahar Lal Nehru Marg, Malaviya Nagar, Jaipur, Rajasthan, 302017. The scope of this conference includes all subareas of AI, with broad coverage of traditional topics like robotics, statistical learning and deep learning techniques. However, the organizing committee expressly encouraged work on the applications of DL and AI in the important fields of computer/electronics/electrical/mechanical/chemical/textile engineering, health care and agriculture, business and social media and other relevant domains. The conference welcomed papers on the following (but not limited to) research topics: · Deep Learning: Applications of deep learning in various engineering streams, neural information processing systems, training schemes, GPU computation and paradigms, human–computer interaction, genetic algorithm, reinforcement learning, natural language processing, social computing, user customization, embedded computation, automotive design and bioinformatics · Artificial Intelligence: Automatic control, natural language processing, data mining and machine learning tools, fuzzy logic, heuristic optimization techniques (membrane-based separation, wastewater treatment, process control, etc.) and soft computing · Robotics: Automation and advanced control-based applications in engineering, neural networks on low powered devices, human–robot interaction and communication, cognitive, developmental and evolutionary robotics, fault diagnosis, virtual reality, space and underwater robotics, simulation and modelling, bio-inspired robotics, cable robots, cognitive robotics, collaborative robotics, collective and social robots and humanoid robots It was a collaborative platform for academic experts, researchers and corporate professionals for interacting their research in various domain of engineering like robotics, data acquisition, human–computer interaction, genetic algorithm, sentiment analysis as well as usage of AI and advanced computation in various industrial challenges based applications such as user customization, augmented reality, voice assistants, reactor design, product formulation/synthesis, embedded system design, membrane-based separation for protecting environment along with wastewater treatment, rheological properties estimation for Newtonian and non-Newtonian fluids used in micro-processing industries and fault detection.
Handbook Of Research On Machine And Deep Learning Applications For Cyber Security
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Author : Ganapathi, Padmavathi
language : en
Publisher: IGI Global
Release Date : 2019-07-26
Handbook Of Research On Machine And Deep Learning Applications For Cyber Security written by Ganapathi, Padmavathi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-26 with Computers categories.
As the advancement of technology continues, cyber security continues to play a significant role in today’s world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.