References
- Aceto, G., B. Alessio, D. Walter, and P. Antonio. 2013. “Cloud Monitoring: A Survey.” Computer Networks 57 (9): 2093–2115. doi:10.1016/j.comnet.2013.04.001.
- Agrawal, D., D. Sudipto, and E. A. Abbadi. 2011. “Big Data and Cloud Computing: Current State and Future Opportunities.” Proceedings of the 14th International Conference on Extending Database Technology- EDBT/ICDT’11. New York, NY, USA: ACM Press; 2011:530–533. doi:10.1145/1951365.1951432.
- Barga, R. S., E. Jaliya, and L. Wei. 2012. “Project Daytona: Data Analytics as a Cloud Service.” In Proceedings of the International Conference of Data Engineering (ICDE 2012), IEEE Computer Society, A. Kementsietsidis, edited by M. A. V. Salles, 1317–1320. doi: 10.1109/ICDE.2012.136
- Bi, Z., L. Xu, and C. Wang. 2014. “Internet of Things for Enterprise Systems of Modern Manufacturing.” IEEE Transactions on Industrial Informatics 10 (2): 1537–1546. doi:10.1109/TII.2014.2300338.
- Bonvillian, W. B. 2013. “Advanced Manufacturing Policies and Paradigms for Innovation.” Science 342 (6163): 1173–1175. doi:10.1126/science.1242210.
- Borowik, G., T. Łuba, and D. Zydek. 2012. “Features Reduction Using Logic Minimization Techniques.” International Journal of Electronics and Telecommunications 58 (1): 71–76. doi:10.2478/v10177-012-0010-x.
- Cai, H., Y. Guo, W. A. Yang, and K. Lu. 2017. “Mining Frequent Trajectory Patterns of WIP in Internet of Things-Based Spatial-Temporal Database.” International Journal of Computer Integrated Manufacturing 30 (12): 1253–1271. doi:10.1080/0951192X.2017.1307522.
- Chen, M., S. Mao, and Y. Liu. 2014. “Big Data: A Survey.” Mobile Networks and Applications 19 (2): 171–209. doi:10.1007/s11036-013-0489-0.
- Chen, R. S., K. C. Yeh, C. C. Chang, and H. H. Chien. 2006. “Using Data Mining Technology to Improve Manufacturing Quality – A Case Study of LCD Driver IC Packaging Industry.” Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD'06), in Las Vegas, NV., IEEE. doi:10.1109/SNPD-SAWN.2006.75
- Choudhary, A. K., J. A. Harding, and M. K. Tiwari. 2009. “Data Mining in Manufacturing: A Review Based on the Kind of Knowledge.” Journal of Intelligent Manufacturing 20 (5): 501–521. doi:10.1007/s10845-008-0145-x.
- Davis, J., T. Edgar, J. Porter, J. Bernaden, and M. Sarli. 2012. “Smart Manufacturing, Manufacturing Intelligence, and Demand–Dynamic Performance.” Computers & Chemical Engineering 47 (Supplement C): 145–156. doi:10.1016/j.compchemeng.2012.06.037.
- Garcia, E., C. Romero, S. Ventura, and T. Calders. 2007. “Drawbacks and Solutions of Applying Association Rule Mining in Learning Management Systems.” Proceedings of the International Workshop on Applying Data Mining in e-Learning 2007, 13–22. doi:10.1037/0033-3204.44.1.13
- Han, J., J. Pei, and M. Kamber. 2011. Data Mining: Concepts and Techniques. Waltham, MA: Elsevier.
- Harding, J. A., M. Shahbaz, and A. Kusiak. 2006. “Data Mining in Manufacturing: A Review.” Journal of Manufacturing Science and Engineering 128 (4): 969–976. doi:10.1115/1.2194554.
- Heng, S. 2014. Industry 4.0: Upgrading of Germany‘S Industrial Capabilities on the Horizon. Frankfurt am Main: DB Research.
- Hsu, S. C., and C. F. Chien. 2007. “Hybrid Data Mining Approach for Pattern Extraction from Wafer Bin Map to Improve Yield in Semiconductor Manufacturing.” International Journal of Production Economics 107 (1): 88–103. doi:10.1016/j.ijpe.2006.05.015.
- Jiang, L., L. D. Xu, H. Cai, Z. Jiang, F. Bu, and B. Xu. 2014. “An IoT-Oriented Data Storage Framework in Cloud Computing Platform.” IEEE Transactions on Industrial Informatics 10 (2): 1443–1451. doi:10.1109/TII.2014.2306384.
- Lee, H. 2017. “Framework and Development of Fault Detection Classification Using IoT Device and Cloud Environment.” Journal of Manufacturing Systems 43 (Part 2): 257–270. doi:10.1016/j.jmsy.2017.02.007.
- Lee, J., E. Lapira, B. Bagheri, and H. Kao. 2013. “Recent Advances and Trends in Predictive Manufacturing Systems in Big Data Environment.” Manufacturing Letters 1 (1): 38–41. doi:10.1016/j.mfglet.2013.09.005.
- Li, T., Y. Liu, Y. Tian, S. Shen, and W. Mao. 2012. “A Storage Solution for Massive IoT Data Based on NoSQL.” 2012 IEEE International Conference on Green Computing and Communications, Besancon, France, IEEE, 50–57. doi:10.1109/GreenCom.2012.18
- Lomotey, R. K., and R. Deters. 2014. “Analytics-as-a-Service Framework for Terms Association Mining in Unstructured Data.” International Journal of Business Process Integration and Management 7 (1): 49–61. doi:10.1504/IJBPIM.2014.060604.
- Ministries, J. 2015. “Policy to Implement Manufacturing Innovation 3.0 Strategy.” 7th Meeting to Promote Trade and Investment in Seoul, Korea.
- Ruiz, P. P., B. K. Foguem, and B. Grabot. 2014. “Generating Knowledge in Maintenance from Experience Feedback.” Knowledge-Based Systems 68: 4–20. doi:10.1016/j.knosys.2014.02.002.
- Sadoyan, H., A. Zakarian, and P. Mohanty. 2006. “Data Mining Algorithm for Manufacturing Process Control.” The International Journal of Advanced Manufacturing Technology 28 (3–4): 342–350. doi:10.1007/s00170-004-2367-1.
- Salimans, T. 2012. “Variable Selection and Functional Form Uncertainty in Cross-Country Growth Regressions.” Journal of Econometrics 171 (2): 267–280. doi:10.1016/j.jeconom.2012.06.007.
- Shrouf, F., and G. Miragliotta. 2015. “Energy Management Based on Internet of Things: Practices and Framework for Adoption in Production Management.” Journal of Cleaner Production 100: 235–246. doi:10.1016/j.jclepro.2015.03.055.
- Sivri, M. S., and B. Oztaysi. 2018. “Data Analytics in Manufacturing.” Industry 4.0: Managing The Digital Transformation, Springer Series in Advanced Manufacturing, Springer, Cham, Switzerland, 155–172.
- Srimani, P. K., and V. Prathiba. 2016. “Adaptive Data Mining Approach for PCB Defect Detection and Classification.” Indian Journal of Science and Technology 9 (44). doi:10.17485/ijst/2016/v9i44/98964.
- Tao, F., Y. Zuo, L. D. Xu, and L. Zhang. 2014. “IoT-Based Intelligent Perception and Access of Manufacturing Resource toward Cloud Manufacturing.” IEEE Transactions on Industrial Informatics 10 (2): 1547–1557. doi:10.1109/TII.2014.2306397.
- Zhang, Q., L. Cheng, and R. Boutaba. 2010. “Cloud Computing: State-of-the-Art and Research Challenges.” Journal of Internet Services and Applications 1 (1): 7–18. doi:10.1007/s13174-010-0007-6.
- Zhang, Y., W. Wang, N. Wu, and C. Qian. 2016. “IoT-Enabled Real-Time Production Performance Analysis and Exception Diagnosis Model.” IEEE Transactions on Automation Science and Engineering 13 (3): 1318–1332. doi:10.1109/TASE.2015.2497800.
- Zulkernine, F., P. Martin, Y. Zou, M. Bauer, F. Gwadry-Sridhar, and A. Aboulnaga. 2013. “Towards Cloud-Based Analytics-as-a-Service (Claaas) for Big Data Analytics in the Cloud.” 2013 IEEE International Congress on Big Data, Santa Clara, CA, IEEE, 62–69. doi:10.1109/BigData.Congress.2013.18.
- Zuo, Y., F. Tao, and A. Y. C. Nee. 2017. “An Internet of Things and Cloud-Based Approach for Energy Consumption Evaluation and Analysis for a Product.” International Journal of Computer Integrated Manufacturing 31 (4–5): 337–348. doi:10.1080/0951192X.2017.1285429.