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019 _a1260341001
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020 _a9781119785873
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020 _a1119785871
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020 _a9781119785866
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020 _z9781119785804
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024 7 _a10.1002/9781119785873
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029 1 _aUKMGB
_b020266716
035 _a(OCoLC)1262319394
_z(OCoLC)1260341001
_z(OCoLC)1261365647
037 _a9781119785859
_bWiley
050 4 _aQ325.5
_b.M33 2021
082 0 4 _a006.3/1
_223
049 _aMAIN
245 0 0 _aMachine learning approach for cloud data analytics in IoT /
_cedited by Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Monika Mangla, Suneeta Satpathy, Sirisha Potluri.
250 _a1st edition.
264 1 _aHoboken, NJ :
_bJohn Wiley & Sons, Inc. ;
_aBeverly, MA :
_bScrivener Publishing LLC,
_c2021.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
504 _aIncludes bibliographical references and index.
520 _aIn this era of IoT, edge devices generate gigantic data during every fraction of a second. The main aim of these networks is to infer some meaningful information from the collected data. For the same, the huge data is transmitted to the cloud which is highly expensive and time-consuming. Hence, it needs to devise some efficient mechanism to handle this huge data, thus necessitating efficient data handling techniques. Sustainable computing paradigms like cloud and fog are expedient to capably handle the issues of performance, capabilities allied to storage and processing, maintenance, security, efficiency, integration, cost, energy and latency. However, it requires sophisticated analytics tools so as to address the queries in an optimized time. Hence, rigorous research is taking place in the direction of devising effective and efficient framework to garner utmost advantage. Machine learning has gained unmatched popularity for handling massive amounts of data and has applications in a wide variety of disciplines, including social media. Machine Learning Approach for Cloud Data Analytics in IoT details and integrates all aspects of IoT, cloud computing and data analytics from diversified perspectives. It reports on the state-of-the-art research and advanced topics, thereby bringing readers up to date and giving them a means to understand and explore the spectrum of applications of IoT, cloud computing and data analytics.
505 0 _aMachine Learning-Based Data Analysis / M Deepika, K Kalaiselvi -- Machine Learning for Cyber-Immune IoT Applications / Suchismita Sahoo, Sushree Sangita Sahoo -- Employing Machine Learning Approaches for Predictive Data Analytics in Retail Industry / Rakhi Akhare, Sanjivani Deokar, Monika Mangla, Hardik Deshmukh -- Emerging Cloud Computing Trends for Business Transformation / Prasanta Kumar Mahapatra, Alok Ranjan Tripathy, Alakananda Tripathy -- Security of Sensitive Data in Cloud Computing / Kirti Wanjale, Monika Mangla, Paritosh Marathe -- Cloud Cryptography for Cloud Data Analytics in IoT / N Jayashri, K Kalaiselvi -- Issues and Challenges of Classical Cryptography in Cloud Computing / Amrutanshu Panigrahi, Ajit Kumar Nayak, Rourab Paul -- Cloud-Based Data Analytics for Monitoring Smart Environments / D Karthika -- Performance Metrics for Comparison of Heuristics Task Scheduling Algorithms in Cloud Computing Platform / Nidhi Rajak, Ranjit Rajak -- Smart Environment Monitoring Models Using Cloud-Based Data Analytics: A Comprehensive Study / Pradnya S Borkar, Reena Thakur -- Advancement of Machine Learning and Cloud Computing in the Field of Smart Health Care / Aradhana Behura, Shibani Sahu, Manas Ranjan Kabat -- Study on Green Cloud Computing-A Review / Agrawal Meenal, Jain Ankita -- Intelligent Reclamation of Plantae Affliction Disease / Reshma Banu, GF Ali Ahammed, Ayesha Taranum -- Prediction of the Stock Market Using Machine Learning-Based Data Analytics / P Maheswari, A Jaya -- Pehchaan: Analysis of the 'Aadhar Dataset' to Facilitate a Smooth and Efficient Conduct of the Upcoming NPR / Soumyadev Mukherjee, Harshit Anand, Nishan Acharya, Subham Char, Pritam Ghosh, Minakhi Rout -- Deep Learning Approach for Resource Optimization in Blockchain, Cellular Networks, and IoT: Open Challenges and Current Solutions / Upinder Kaur, Shalu -- Unsupervised Learning in Accordance With New Aspects of Artificial Intelligence / Riya Sharma, Komal Saxena, Ajay Rana -- Predictive Modeling of Anthropomorphic Gamifying Blockchain-Enabled Transitional Healthcare System / Deepa Kumari, BSAS Rajita, Medindrao Raja Sekhar, Ritika Garg, Subhrakanta Panda.
588 _aDescription based on online resource; title from digital title page (viewed on April 04, 2023).
590 _aJohn Wiley and Sons
_bWiley Online Library: Complete oBooks
650 0 _aMachine learning.
650 0 _aCloud computing.
650 0 _aInternet of things.
650 6 _aApprentissage automatique.
650 6 _aInfonuagique.
650 6 _aInternet des objets.
650 7 _aCloud computing
_2fast
650 7 _aInternet of things
_2fast
650 7 _aMachine learning
_2fast
700 1 _aMohanty, Sachi Nandan,
_eeditor.
700 1 _aChatterjee, Jyotir Moy,
_eeditor.
700 1 _aMangla, Monika,
_eeditor.
700 1 _aSatpathy, Suneeta,
_eeditor.
700 1 _aPotluri, Sirisha,
_eeditor.
758 _ihas work:
_aMachine Learning Approach for Cloud Data Analytics in IoT (Text)
_1https://id.oclc.org/worldcat/entity/E39PCXCPd4CkM4XrcjgjpgqBbm
_4https://id.oclc.org/worldcat/ontology/hasWork
776 0 8 _iPrint version:
_aMohanty, Sachi Nandan
_tMachine Learning Approach for Cloud Data Analytics in IoT
_dNewark : John Wiley & Sons, Incorporated,c2021
_z9781119785804
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119785873
938 _aAskews and Holts Library Services
_bASKH
_nAH39003693
938 _aProQuest Ebook Central
_bEBLB
_nEBL6677854
938 _aYBP Library Services
_bYANK
_n302333793
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