Matches in SemOpenAlex for { <https://semopenalex.org/work/W4288802617> ?p ?o ?g. }
- W4288802617 abstract "Abstract There has been an exponential growth in the number of low‐cost heterogeneous sensor devices that are connected to the internet in the existing infrastructure of smart cities in the past decade. These sensors and actuator devices are employed in various industries to collect invaluable data that greatly impacts business decisions. State‐of‐the‐art research is being carried out to process the high‐volume data collected in high velocity streams with high variability in order to draw meaningful insights to cater to business needs in various domains. Big data analytics finds diversified opportunities in 5G‐enabled Internet of Things (IoT) and industrial IoT environment to study the data patterns and produce new results which provides big organizations a conducive environment to take informed decisions. This article presents an exhaustive investigation of the various applications and algorithms of the big data analytics in 5G‐driven IoT and industrial IoT systems with a detailed taxonomy of the existing analytical systems and also the challenges specific to the applications in an IoT environment. A holistic understanding on the importance of security and privacy of big data during the development of smart city infrastructure in high velocity streaming process has been explained for a broad understanding of the big data streaming processes. A thorough analysis of important data mining algorithms such as classification, association rule mining, clustering, and prediction methods for big IoT data from the recent literature also has been presented to provide a clear understanding of existing issues in handling big data in 5G‐enabled IoT for the development of sustainable smart city infrastructure." @default.
- W4288802617 created "2022-07-30" @default.
- W4288802617 creator A5022448723 @default.
- W4288802617 creator A5051338114 @default.
- W4288802617 creator A5066969082 @default.
- W4288802617 creator A5068504849 @default.
- W4288802617 date "2022-07-30" @default.
- W4288802617 modified "2023-10-16" @default.
- W4288802617 title "Leveraging big data analytics in 5G‐enabled IoT and industrial IoT for the development of sustainable smart cities" @default.
- W4288802617 cites W1518563014 @default.
- W4288802617 cites W1529473215 @default.
- W4288802617 cites W1567394263 @default.
- W4288802617 cites W1660498000 @default.
- W4288802617 cites W1845903142 @default.
- W4288802617 cites W1918839972 @default.
- W4288802617 cites W1977650120 @default.
- W4288802617 cites W1983980446 @default.
- W4288802617 cites W2003598375 @default.
- W4288802617 cites W2010989256 @default.
- W4288802617 cites W2040263621 @default.
- W4288802617 cites W2047204394 @default.
- W4288802617 cites W2054274648 @default.
- W4288802617 cites W2061701011 @default.
- W4288802617 cites W2086113803 @default.
- W4288802617 cites W2092257554 @default.
- W4288802617 cites W2092420848 @default.
- W4288802617 cites W2094189035 @default.
- W4288802617 cites W2095700816 @default.
- W4288802617 cites W2101489774 @default.
- W4288802617 cites W2101908874 @default.
- W4288802617 cites W2104250954 @default.
- W4288802617 cites W2111619626 @default.
- W4288802617 cites W2117825401 @default.
- W4288802617 cites W2120728878 @default.
- W4288802617 cites W2145421234 @default.
- W4288802617 cites W2149140091 @default.
- W4288802617 cites W2182617692 @default.
- W4288802617 cites W2208596391 @default.
- W4288802617 cites W2237693946 @default.
- W4288802617 cites W2238499080 @default.
- W4288802617 cites W2261525379 @default.
- W4288802617 cites W2264855399 @default.
- W4288802617 cites W2271394142 @default.
- W4288802617 cites W2287987052 @default.
- W4288802617 cites W2293066912 @default.
- W4288802617 cites W2306447822 @default.
- W4288802617 cites W2327388037 @default.
- W4288802617 cites W2327531525 @default.
- W4288802617 cites W2330029115 @default.
- W4288802617 cites W2342654901 @default.
- W4288802617 cites W2343161864 @default.
- W4288802617 cites W2394932321 @default.
- W4288802617 cites W2403237691 @default.
- W4288802617 cites W2443014316 @default.
- W4288802617 cites W2466227824 @default.
- W4288802617 cites W2466304579 @default.
- W4288802617 cites W2466980394 @default.
- W4288802617 cites W2472413865 @default.
- W4288802617 cites W2479367333 @default.
- W4288802617 cites W2484575388 @default.
- W4288802617 cites W2485561967 @default.
- W4288802617 cites W2501585146 @default.
- W4288802617 cites W2509541677 @default.
- W4288802617 cites W2521606069 @default.
- W4288802617 cites W2523230322 @default.
- W4288802617 cites W2523568041 @default.
- W4288802617 cites W2528462506 @default.
- W4288802617 cites W2531479711 @default.
- W4288802617 cites W2537725778 @default.
- W4288802617 cites W2539508357 @default.
- W4288802617 cites W2541511557 @default.
- W4288802617 cites W2547727199 @default.
- W4288802617 cites W2548013375 @default.
- W4288802617 cites W2551607660 @default.
- W4288802617 cites W2553483312 @default.
- W4288802617 cites W2556414512 @default.
- W4288802617 cites W2560528144 @default.
- W4288802617 cites W2565968840 @default.
- W4288802617 cites W2572157404 @default.
- W4288802617 cites W2574115134 @default.
- W4288802617 cites W2578649485 @default.
- W4288802617 cites W2579086357 @default.
- W4288802617 cites W2580435798 @default.
- W4288802617 cites W2583850415 @default.
- W4288802617 cites W2583978878 @default.
- W4288802617 cites W2584816862 @default.
- W4288802617 cites W2585642343 @default.
- W4288802617 cites W2587181021 @default.
- W4288802617 cites W2588845958 @default.
- W4288802617 cites W2588941434 @default.
- W4288802617 cites W2589552882 @default.
- W4288802617 cites W2593656009 @default.
- W4288802617 cites W2594258258 @default.
- W4288802617 cites W2595210860 @default.
- W4288802617 cites W2599557761 @default.
- W4288802617 cites W2603799931 @default.
- W4288802617 cites W2606010067 @default.
- W4288802617 cites W2607807122 @default.
- W4288802617 cites W2613310014 @default.
- W4288802617 cites W2726150830 @default.