Technology mining
Tech mining or technology mining refers to applying text mining methods to technical documents. For patent analysis purposes, it is named ‘patent mining’. Porter, as one of the pioneers in technology mining, defined ‘tech mining’ in his book[1] as follows: “the application of text mining tools to science and technology information, informed by understanding of technological innovation processes.” Therefore, tech mining has two significant characteristics: 1) using ‘text mining tools’, 2) applying these tools to ‘technology management’. Also, technology mining can be considered as one of technology intelligence branches.
With the inception of internet of Things (IOT's) something had to be created to analyze all that data. Data Stream mining (DSM) and the reason for this is that IOT’s will be creating an abundance of data. This is all part of technology mining or text mining. The large amounts of data will be analyzed and used to server a purpose.[2]
Wearable technology is growing and this technology is being tested in the mining industry, but this articles dives in deep to cover all aspects of wearables. The wearables will be in clothing, helmets, additional sensors that can be added to your body to get your vitals. Some professional teams have implemented wearable clothing and are monitoring athletes closely, how much they perspire and body temperatures. What we will see is less deaths in the future. The lives that technology can save and the benefits of having this will help in reduce healthcare, with the data that is collected and analyzed new treatments can be created.[3]
Medical Informatics and how researches are using PubMed to analyze data and see where trends are going. With this text mining approach they saw declines in subject areas like biomedical and increases in health information technology (HIT) and electronic/health records (EMR/EHR). The reason for this change is the growth of HIT. One thing that was discovered was the large amount of data inside massive data-sets. We are in a technology era and I am glad that I have a chance to touch it and see it happening.[4]
Applications
Technology mining have many applications including R&D portfolio selection, R&D project initiation, new product development, strategic technology planning, technology roadmapping, etc.[5] Tech miner should communicate closely with target users what technological issue they have, and how they want to address the issues. The number of published papers and the number of citations in technology mining area illustrates a hyperbolically progress; there is a jump in the number of publications after 2005 and a huge rise in the number of citations after 2012.[6]
References
- ^ Porter, Alan L.; Cunninghum, Scott W. (2004). Tech Mining: Exploiting New Technologies for Competitive Advantage. Wiley. ISBN 978-0-471-47567-5.
- ^ Millham, Richard C.; Vasilakos, Athanasios V.; Song, Wei; Fong, Simon; Lan, Kun (2017). "Self-Adaptive Pre-Processing Methodology for Big Data Stream Mining in Internet of Things Environmental Sensor Monitoring". Symmetry. 9 (10): 244. doi:10.3390/sym9100244.
{{cite journal}}: CS1 maint: unflagged free DOI (link) - ^ Choi, Yosoon; Mardonova, Mokhinabonu (2018). "Review of Wearable Device Technology and Its Applications to the Mining Industry". Energies. 11 (3): 547. doi:10.3390/en11030547.
{{cite journal}}: CS1 maint: unflagged free DOI (link) - ^ Kim, Yong-Mi; Delen, Dursun (2016). "Medical informatics research trend analysis: A text mining approach". Health Informatics Journal. 24 (4): 432–452. doi:10.1177/1460458216678443. ISSN 1460-4582.
- ^ Porter, Alan L. (2005). "Tech Mining" (PDF). Competitive Intelligence Magazine. 8: 30–37.
- ^ Madani, Farshad (2015). "'Technology Mining' bibliometrics analysis: applying network analysis and cluster analysis". Scientometrics. 105: 323–335. doi:10.1007/s11192-015-1685-4.
External links
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