Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications

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Publisher : Springer Nature
ISBN 13 : 9819920582
Total Pages : 436 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications by : Amit Kumar

Download or read book Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications written by Amit Kumar and published by Springer Nature. This book was released on 2023-09-16 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes peer reviewed articles from the 4th International Conference on Data Science, Machine Learning and Applications, 2022, held at the Hyderabad Institute of Technology & Management on 26-27th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.

Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications

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Publisher :
ISBN 13 : 9789819920600
Total Pages : 0 pages
Book Rating : 4.9/5 (26 download)

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Book Synopsis Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications by : Amit Kumar

Download or read book Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications written by Amit Kumar and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes peer reviewed articles from the 4th International Conference on Data Science, Machine Learning and Applications, 2022, held at the Hyderabad Institute of Technology & Management on 26-27th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.

Deep Learning Theory and Applications

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Publisher : Springer Nature
ISBN 13 : 3031390598
Total Pages : 496 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Deep Learning Theory and Applications by : Donatello Conte

Download or read book Deep Learning Theory and Applications written by Donatello Conte and published by Springer Nature. This book was released on 2023-07-30 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consitiutes the refereed proceedings of the 4th International Conference on Deep Learning Theory and Applications, DeLTA 2023, held in Rome, Italy from 13 to 14 July 2023. The 9 full papers and 22 short papers presented were thoroughly reviewed and selected from the 42 qualified submissions. The scope of the conference includes such topics as models and algorithms; machine learning; big data analytics; computer vision applications; and natural language understanding.

Recent Developments in Data Science and Intelligent Analysis of Information

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Publisher : Springer
ISBN 13 : 3319978853
Total Pages : 384 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Recent Developments in Data Science and Intelligent Analysis of Information by : Oleg Chertov

Download or read book Recent Developments in Data Science and Intelligent Analysis of Information written by Oleg Chertov and published by Springer. This book was released on 2018-08-04 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the XVIII International Conference on Data Science and Intelligent Analysis of Information (ICDSIAI'2018), held in Kiev, Ukraine on June 4-7, 2018. The conference series, which dates back to 2001 when it was known as the Workshop on Intelligent Analysis of Information, was renamed in 2008 to reflect the broadening of its scope and the composition of its organizers and participants. ICDSIAI'2018 brought together a large number of participants from numerous countries in Europe, Asia and the USA. The papers presented addressed novel theoretical developments in methods, algorithms and implementations for the broadly perceived areas of big data mining and intelligent analysis of data and information, representation and processing of uncertainty and fuzziness, including contributions on a range of applications in the fields of decision-making and decision support, economics, education, ecology, law, and various areas of technology. The book is dedicated to the memory of the conference founder, the late Professor Tetiana Taran, an outstanding scientist in the field of artificial intelligence whose research record, vision and personality have greatly contributed to the development of Ukrainian artificial intelligence and computer science.

Data Science – Analytics and Applications

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Publisher : Springer Nature
ISBN 13 : 3658362952
Total Pages : 101 pages
Book Rating : 4.6/5 (583 download)

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Book Synopsis Data Science – Analytics and Applications by : Peter Haber

Download or read book Data Science – Analytics and Applications written by Peter Haber and published by Springer Nature. This book was released on 2022-03-29 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organizations have moved already from the rigid structure of classical project management towards the adoption of agile approaches. This holds also true for software development projects, which need to be flexible to adopt to rapid requests of clients as well to reflect changes that are required due to architectural design decisions. With data science having established itself as corner stone within organizations and businesses, it is now imperative to perform this crucial step for analytical business processes as well. The non-deterministic nature of data science and its inherent analytical tasks require an interactive approach towards an evolutionary step-by-step development to realize core essential business applications and use cases. The 4th International Data Science Conference (iDSC) 2021 brought together researchers, scientists, and business experts to discuss means of establishing new ways of embracing agile approaches within the various domains of data science, such as machine learning and AI, data mining, or visualization and communication as well as case studies and best practices from leading research institutions and business companies. The proceedings include all full papers presented in the scientific track and the corresponding German abstracts as well as the short papers from the student track. Among the topics of interest are: Artificial Intelligence and Machine Learning Implementation of data mining processes Agile Data Science and Visualization Case Studies and Applications for Agile Data Science --- Organisationen sind bereits von der starren Struktur des klassischen Projektmanagements zu agilen Ansätzen übergegangen. Dies gilt auch für Softwareentwicklungsprojekte, die flexibel sein müssen, um schnell auf die Wünsche der Kunden reagieren zu können und um Änderungen zu berücksichtigen, die aufgrund von Architekturentscheidungen erforderlich sind. Nachdem sich die Datenwissenschaft als Eckpfeiler in Organisationen und Unternehmen etabliert hat, ist es nun zwingend erforderlich, diesen entscheidenden Schritt auch für analytische Geschäftsprozesse durchzuführen. Die nicht-deterministische Natur der Datenwissenschaft und die ihr innewohnenden analytischen Aufgaben erfordern einen interaktiven Ansatz für eine evolutionäre, schrittweise Entwicklung zur Realisierung der wichtigsten Geschäftsanwendungen und Anwendungsfälle. Die 4. Internationale Konferenz zur Datenwissenschaft (iDSC 2021) brachte Forscher, Wissenschaftler und Wirtschaftsexperten zusammen, um Möglichkeiten zu erörtern, wie neue Wege zur Umsetzung agiler Ansätze in den verschiedenen Bereichen der Datenwissenschaft, wie maschinelles Lernen und KI, Data Mining oder Visualisierung und Kommunikation, sowie Fallstudien und Best Practices von führenden Forschungseinrichtungen und Wirtschaftsunternehmen etabliert werden können. Der Tagungsband umfasst alle im wissenschaftlichen Track vorgestellten Volltexte und die Kurzbeiträge aus dem studentischen Track auf Englisch und die dazugehörigen Abstracts auf Deutsch. Zu den Themen, die sie interessieren, gehören unter anderem: Künstliche Intelligenz und Maschinelles Lernen Implementierung von Data-Mining-Prozessen Agile Datenwissenschaft und Visualisierung Fallstudien und Anwendungen für Agile Datenwissenschaft

Deep Learning Theory and Applications

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Publisher :
ISBN 13 : 9783031390609
Total Pages : 0 pages
Book Rating : 4.3/5 (96 download)

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Book Synopsis Deep Learning Theory and Applications by : Donatello Conte

Download or read book Deep Learning Theory and Applications written by Donatello Conte and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consitiutes the refereed proceedings of the 4th International Conference on Deep Learning Theory and Applications, DeLTA 2023, held in Rome, Italy from 13 to 14 July 2023. The 9 full papers and 22 short papers presented were thoroughly reviewed and selected from the 42 qualified submissions. The scope of the conference includes such topics as models and algorithms; machine learning; big data analytics; computer vision applications; and natural language understanding.

Machine Learning, Optimization, and Data Science

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Publisher : Springer
ISBN 13 : 3030137090
Total Pages : 584 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Machine Learning, Optimization, and Data Science by : Giuseppe Nicosia

Download or read book Machine Learning, Optimization, and Data Science written by Giuseppe Nicosia and published by Springer. This book was released on 2019-02-16 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data Science, LOD 2018, held in Volterra, Italy, in September 2018.The 46 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.

Data Engineering and Applications

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Publisher : Springer
ISBN 13 : 9789819724505
Total Pages : 0 pages
Book Rating : 4.7/5 (245 download)

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Book Synopsis Data Engineering and Applications by : Jitendra Agrawal

Download or read book Data Engineering and Applications written by Jitendra Agrawal and published by Springer. This book was released on 2024-09-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises select proceedings from the 4th International Conference on Data, Engineering, and Applications (IDEA 2022). The contents discuss novel contributions and latest developments in the domains of data structures and data management algorithms, information retrieval and information integration, social data analytics, IoT and data intelligence, Industry 4.0 and digital manufacturing, data fusion, natural language processing, geolocation handling, image, video and signal processing, ICT applications and e-governance, among others. This book is of interest to researchers in academia and industry working in big data, data mining, machine learning, data science, and their associated learning systems and applications.

ICDSMLA 2019

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Publisher : Springer Nature
ISBN 13 : 9811514208
Total Pages : 2010 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis ICDSMLA 2019 by : Amit Kumar

Download or read book ICDSMLA 2019 written by Amit Kumar and published by Springer Nature. This book was released on 2020-05-19 with total page 2010 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human–Computer Interaction and various data science & machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.

Data Engineering and Applications

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Publisher : Springer
ISBN 13 : 9789819700363
Total Pages : 0 pages
Book Rating : 4.7/5 (3 download)

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Book Synopsis Data Engineering and Applications by : Jitendra Agrawal

Download or read book Data Engineering and Applications written by Jitendra Agrawal and published by Springer. This book was released on 2024-05-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises select proceedings from the 4th International Conference on Data, Engineering, and Applications (IDEA 2022). The contents discuss novel contributions and latest developments in the domains of data structures and data management algorithms, information retrieval and information integration, social data analytics, IoT and data intelligence, Industry 4.0 and digital manufacturing, data fusion, natural language processing, geolocation handling, image, video and signal processing, ICT applications and e-governance, among others. This book is of interest to researchers in academia and industry working in big data, data mining, machine learning, data science, and their associated learning systems and applications.

Proceedings of International Conference on Data Science and Applications

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Publisher : Springer Nature
ISBN 13 : 9811651205
Total Pages : 845 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of International Conference on Data Science and Applications by : Mukesh Saraswat

Download or read book Proceedings of International Conference on Data Science and Applications written by Mukesh Saraswat and published by Springer Nature. This book was released on 2021-11-22 with total page 845 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2021), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from April 10 to 11, 2021. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

ICDSMLA 2020

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Publisher : Springer Nature
ISBN 13 : 9811636907
Total Pages : 1600 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis ICDSMLA 2020 by : Amit Kumar

Download or read book ICDSMLA 2020 written by Amit Kumar and published by Springer Nature. This book was released on 2021-11-08 with total page 1600 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.

Big Data Analysis and Deep Learning Applications

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Publisher : Springer
ISBN 13 : 9811308691
Total Pages : 386 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Big Data Analysis and Deep Learning Applications by : Thi Thi Zin

Download or read book Big Data Analysis and Deep Learning Applications written by Thi Thi Zin and published by Springer. This book was released on 2018-06-06 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural networks, communication, industrial information, and their applications. Readers will find insights to help them realize more efficient algorithms and systems used in real-life applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and regulators of aviation authorities.

Machine Learning and Data Mining in Pattern Recognition

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Publisher : Springer
ISBN 13 : 9783540269236
Total Pages : 698 pages
Book Rating : 4.2/5 (692 download)

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Book Synopsis Machine Learning and Data Mining in Pattern Recognition by : Petra Perner

Download or read book Machine Learning and Data Mining in Pattern Recognition written by Petra Perner and published by Springer. This book was released on 2005-07-08 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: We met again in front of the statue of Gottfried Wilhelm von Leibniz in the city of Leipzig. Leibniz, a famous son of Leipzig, planned automatic logical inference using symbolic computation, aimed to collate all human knowledge. Today, artificial intelligence deals with large amounts of data and knowledge and finds new information using machine learning and data mining. Machine learning and data mining are irreplaceable subjects and tools for the theory of pattern recognition and in applications of pattern recognition such as bioinformatics and data retrieval. This was the fourth edition of MLDM in Pattern Recognition which is the main event of Technical Committee 17 of the International Association for Pattern Recognition; it started out as a workshop and continued as a conference in 2003. Today, there are many international meetings which are titled “machine learning” and “data mining”, whose topics are text mining, knowledge discovery, and applications. This meeting from the first focused on aspects of machine learning and data mining in pattern recognition problems. We planned to reorganize classical and well-established pattern recognition paradigms from the viewpoints of machine learning and data mining. Though it was a challenging program in the late 1990s, the idea has inspired new starting points in pattern recognition and effects in other areas such as cognitive computer vision.

Proceedings of International Conference on Data Science and Applications

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Publisher : Springer Nature
ISBN 13 : 9811575614
Total Pages : 314 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Proceedings of International Conference on Data Science and Applications by : Kanad Ray

Download or read book Proceedings of International Conference on Data Science and Applications written by Kanad Ray and published by Springer Nature. This book was released on 2020-10-29 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2019), held at Kautilya Institute of Technology and Engineering, Jaipur, Rajasthan, India, from 2 to 3 December 2019. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, creative computing, etc.

Proceedings of the Fourth SIAM International Conference on Data Mining

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Publisher : SIAM
ISBN 13 : 9780898715682
Total Pages : 556 pages
Book Rating : 4.7/5 (156 download)

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Book Synopsis Proceedings of the Fourth SIAM International Conference on Data Mining by : Michael W. Berry

Download or read book Proceedings of the Fourth SIAM International Conference on Data Mining written by Michael W. Berry and published by SIAM. This book was released on 2004-01-01 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Fourth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. This is reflected in the talks by the four keynote speakers who discuss data usability issues in systems for data mining in science and engineering, issues raised by new technologies that generate biological data, ways to find complex structured patterns in linked data, and advances in Bayesian inference techniques. This proceedings includes 61 research papers.

Machine Learning, Optimization, and Data Science

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Publisher : Springer Nature
ISBN 13 : 3030954676
Total Pages : 667 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Machine Learning, Optimization, and Data Science by : Giuseppe Nicosia

Download or read book Machine Learning, Optimization, and Data Science written by Giuseppe Nicosia and published by Springer Nature. This book was released on 2022-02-01 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, LNCS 13163-13164, constitutes the refereed proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, together with the first edition of the Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021. The total of 86 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 215 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.