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UCL Discovery
Other ORP type . 2019
Data sources: UCL Discovery
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Machine learning in facilities & asset management

Authors: Fang, Z; Pitt, M; Hanna, S;

Machine learning in facilities & asset management

Keywords

RICS NRM: New Rules of Measurement., Machine Learning, Facility management, Interoperability, Text Classification, Natural Language Processing

22 references, page 1 of 3

Aleksandr, D., Anna, G. and Satoshi, M. (2016). Word Embeddings, Analogies, and Machine Learning: Beyond King - Man +Woman = Queen. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pp.3519-3530.

Anon, (2017). Construction 2020: A Vision for Australia's Property and Construction Industry. [online] Available at: http://www.construction-innovation.info/images/pdfs/Construction_2020.pdf [Accessed 24 Aug. 2017].

Bird, S., Klein, E. and Loper, E. (2009). Natural Language Processing with Python, Analyzing Text with the Natural Language Toolkit. O'Reilly Media.

Chen, J. et al., 2009. Feature selection for text classification with Naïve Bayes. Expert Systems with Applications, 36(3 PART 1), pp.5432-5435. Available at: http://www.nlp.org.cn. [Accessed September 12, 2018].

Dave, K., Lawrence, S. & Pennock, D.M., 2003. Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews, Available at: http://www.cs.cornell.edu/people/pabo/movie- [Accessed November 15, 2018].

El-Saboni, M., Aouad, G. and Sabouni, A. (2009). Electronic communication systems effects on the success of construction projects in United Arab Emirates. Advanced Engineering Informatics, 23(1), pp.130-138. [OpenAIRE]

Gallaher, M., O'Connor, A. and Dettbarn, J. (2004). Cost analysis of inadequate interoperability in the US capital facilities industry. NIST Report No. GCR 04-867. US Department of Commerce Technology Administration, National Institute of Standards and Technology.

Harris, Z. (1954). Distributional structure.

Hartmann, T., Gao, J. and Fischer, M. (2008). Areas of Application for 3D and 4D Models on Construction Projects. Journal of Construction Engineering and Management, 134(10), pp.776-785.

Hinton, G. and Roweis, S. (2002). Stochastic Neighbor Embedding. Advances in Neural Information Processing Systems, (15), pp.833-840.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average