Graded Concepts for Collaborative Intelligence

Autor: Trevor P. Martin, Ben Azvine

Publikováno v: Martin, T & Azvine, B 2019, Graded Concepts for Collaborative Intelligence . in Proceedings-2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 ., 8616439, IEEE International Conference on Systems, Man, and Cybernetics (SMC), Institute of Electrical and Electronics Engineers (IEEE), pp. 2589-2594, 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Miyazaki, Japan, 7/10/18 . https://doi.org/10.1109/SMC.2018.00443
SMC

Collaborative intelligence involves a combination of human and machine-based analysis, in which humans focus on higher-level tasks involving insight and understanding, whilst machines deal with gathering, filtering and processing data into a convenie

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f47f85fd055df900863e9e59910b0095
https://hdl.handle.net/1983/539a0167-b44c-4a55-9312-d2116a76693e

Graded concepts and associations

Autor: Ben Azvine, Trevor P. Martin

Publikováno v: FUZZ-IEEE

In the current data-rich / knowledge-poor world, humans require machine assistance to summarize, analyze and understand a situation and the trends in events. The idea of collaborative intelligence enables humans to focus on higher-level tasks involvi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::164d82c1b4ead9ffdf75c35a00349750
https://doi.org/10.1109/fuzz-ieee.2017.8015748

A virtual machine for event sequence identification using fuzzy tolerance

Autor: Trevor P. Martin, Ben Azvine

Publikováno v: Martin, T & Azvine, B 2017, A virtual machine for event sequence identification using fuzzy tolerance . in 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016) : Proceedings of a meeting held 24-29 July 2016, Vancouver, British Columbia, Canada ., 7737808, Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Institute of Electrical and Electronics Engineers (IEEE), pp. 1080-1087 . https://doi.org/10.1109/FUZZ-IEEE.2016.7737808
FUZZ-IEEE

Analysing event logs and identifying multiple overlapping sequences of events is an important task in web intelligence and in other applications involving data streams. It is ideally suited to a collaborative intelligence approach, where humans provi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26d4486c94036b6a7956b4781a7ecb60
https://research-information.bris.ac.uk/en/publications/f14901ca-9800-4e5d-881b-bef28e35a7fe

Incremental Evolution of Fuzzy Grammar Fragments to Enhance Instance Matching and Text Mining

Autor: Yun Shen, Trevor P Martin, Ben Azvine

Publikováno v: IEEE Transactions on Fuzzy Systems. 16:1425-1438

In many applications, it is useful to extract structured data from sections of unstructured text. A common approach is to use pattern matching (e.g., regular expressions) or more general grammar-based techniques. In cases where exact templates or gra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d703b540eaa8ff8b520c94f25a93010e
https://doi.org/10.1109/tfuzz.2008.925920

Representation and Identification of Approximately Similar Event Sequences

Autor: Ben Azvine, Trevor P. Martin

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783319261539
FQAS

The MARS (Modelling Autonomous Reasoning System) project aims to develop a collaborative intelligent system combining the processing powers and visualisation provided by machines with the interpretive skills, insight and lateral thinking provided by

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::733303d9b5f4f9f1968c22b6acea4562
https://doi.org/10.1007/978-3-319-26154-6_7