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| S.No | Reference | Title |
|
| 1 | [9] | Big data analytics tool based on statistical process monitoring for smart manufacturing |
| 2 | [11] | Multimedia big data computation and applications of IoT |
| 3 | [12] | IoT, big data, and HPC-based smart flood management framework |
| 4 | [15] | Big data analytics for manufacturing processes |
| 5 | [17] | An algorithmic implementation of entropic ternary reduct soft sentiment set using soft computing technique on big data sentiment analysis for optimal selection of a decision based on real-time update in online reviews |
| 6 | [18] | Architecture for Cognitive IoT and big data |
| 7 | [20] | Challenges and opportunities for publishing IIoT data in manufacturing |
| 8 | [21] | A comprehensive review of big data analytics throughout product life cycle to support sustainable smart manufacturing |
| 9 | [22] | Role of big data analytics in IIoT |
| 10 | [23] | Big data and natural environment |
| 11 | [30] | Intelligent manufacturing production line data monitoring system for IIoT |
| 12 | [31] | A secure and efficient data sharing scheme based on blockchain in IIoT |
| 13 | [32] | Data management techniques for IoT |
| 14 | [33] | Scalable data pipeline architecture to support the IIoT |
| 15 | [34] | Industry 4.0-based process data analytics platform |
| 16 | [35] | Optimization of IIoT data processing latency |
| 17 | [36] | Big data and stream processing platforms for Industry 4.0 requirements mapping for a predictive maintenance use case |
| 18 | [37] | Framework of big data for sustainable and smart additive manufacturing |
| 19 | [38] | Feature engineering in big data analytics for IoT-enabled smart manufacturing |
| 20 | [39] | An architecture for aggregating information from distributed data nodes for IIoT |
| 21 | [40] | Application of big data analysis technique on high-velocity airblast atomization |
| 22 | [23] | Interactive data exploration as a service for the smart factory |
| 23 | [41] | Smart city services using machine learning, IoT, and big data |
| 24 | [43] | Digital forensics challenges to big data in the cloud |
| 25 | [44] | On fault prediction based on industrial big data |
| 26 | [45] | Apache spark-based distributed self-organizing map algorithm for sensor data analysis |
| 27 | [48] | Techniques of big data to smart city deployments |
| 28 | [51] | A cognitive data stream mining technique for context-aware IoT systems |
| 29 | [52] | Implementation of the FSO2 |
| 30 | [53] | An intelligent outlier detection method with one class support tucker machine and genetic algorithm toward big sensor data in IoT |
| 31 | [54] | Big data-based improved data acquisition and storage system for designing industrial data platform |
| 32 | [55] | Cybersecurity in an IIoT environment |
| 33 | [56] | A secure fabric blockchain-based data transmission technique for IIoT |
| 34 | [57] | Concept drift detection and adaption in big imbalance IIoT data using an ensemble learning method of offline classifiers |
| 35 | [58] | City geospatial dashboard |
| 36 | [59] | A community-based IoT service platform to locally disseminate socially valuable data |
| 37 | [60] | The spatiotemporal modeling and integration of manufacturing big data in job shop |
| 38 | [61] | A big data-enabled consolidated framework for energy efficient software defined data centers in IoT setups |
| 39 | [62] | A parallel military dog-based algorithm for clustering big data in cognitive IIoT |
| 40 | [63] | Big data cleaning based on mobile edge computing in industrial sensor cloud |
| 41 | [64] | A highly efficient distributed tensor-train decomposition method for IIoT big data |
| 42 | [65] | Big data-driven edge-cloud collaboration architecture for cloud manufacturing |
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