Clustering Methods for Big Data Analytics (Record no. 77248)
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fixed length control field | 04043nam a22006015i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-97864-2 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801215224.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 181027s2019 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319978642 |
-- | 978-3-319-97864-2 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 621.382 |
245 10 - TITLE STATEMENT | |
Title | Clustering Methods for Big Data Analytics |
Sub Title | Techniques, Toolboxes and Applications / |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2019. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | IX, 187 p. 63 illus., 31 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | Unsupervised and Semi-Supervised Learning, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction -- Clustering large scale data -- Clustering heterogeneous data -- Distributed clustering methods -- Clustering structured and unstructured data -- Clustering and unsupervised learning for deep learning -- Deep learning methods for clustering -- Clustering high speed cloud, grid, and streaming data -- Extension of partitioning, model based, density based, grid based, fuzzy and evolutionary clustering methods for big data analysis -- Large documents and textual data clustering -- Applications of big data clustering methods -- Clustering multimedia and multi-structured data -- Large-scale recommendation systems and social media systems -- Clustering multimedia and multi-structured data -- Real life applications of big data clustering -- Validation measures for big data clustering methods -- Conclusion. |
520 ## - SUMMARY, ETC. | |
Summary, etc | This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat detection, scalable distributed clustering methods for massive volumes of data; clustering Big Data Streams such as streams generated by the confluence of Internet of Things, digital and mobile health, human-robot interaction, and social networks; Spark-based Big Data clustering using Particle Swarm Optimization; and Tensor-based clustering for Web graphs, sensor streams, and social networks. The chapters in the book include a balanced coverage of big data clustering theory, methods, tools, frameworks, applications, representation, visualization, and clustering validation. . |
700 1# - AUTHOR 2 | |
Author 2 | Nasraoui, Olfa. |
700 1# - AUTHOR 2 | |
Author 2 | Ben N'Cir, Chiheb-Eddine. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-97864-2 |
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Koha item type | eBooks |
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-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2019. |
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-- | computer |
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-- | online resource |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Telecommunication. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data mining. |
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-- | Quantitative research. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Pattern recognition systems. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Communications Engineering, Networks. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data Mining and Knowledge Discovery. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data Analysis and Big Data. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Automated Pattern Recognition. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2522-8498 |
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