
Machine Learning for Big Data Analysis by Siddhartha Bhattacharyya
This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics. Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. The possible challenges in this direction include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy. Big data analytics is the process of examining large and varied data sets - i.e., big data - to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent research.-
Industry 5.0
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Machine Learning for Sustainable Development
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Internet of Things and Machine Learning in Agriculture
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Machine Learning Applications
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Big Data Security
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Intelligent Multimedia Data Analysis
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Computer Vision
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Blockchain 3.0 for Sustainable Development
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Artificial Intelligence and Internet of Things for Renewable Energy Systems
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Deep Learning
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Intelligent Decision Support Systems
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Quantum Machine Learning
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Cyber Crime and Forensic Computing
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Semantic Intelligent Computing and Applications
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Artificial Intelligence for Virtual Reality
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Computational Intelligence in Software Modeling
S. Bhattacharyya, H, Bhaumik, A. Mukherjee, IRR Institute, Kolkatta; S. De, CBG Engin. College, West Bengal, India.
| SKU | Unavailable |
| ISBN 13 | 9783110550320 |
| ISBN 10 | 3110550326 |
| Title | Machine Learning for Big Data Analysis |
| Author | Siddhartha Bhattacharyya |
| Series | De Gruyter Frontiers In Computational Intelligence |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | De Gruyter |
| Year published | 2018-12-17 |
| Number of pages | 193 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |















