Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Gavin Shaw"'
Publikováno v:
Journal of Systems Science and Systems Engineering. 18:53-70
Association rule mining plays an important role in knowledge and information discovery. Often for a dataset, a huge number of rules can be extracted, but many of them are redundant, especially in the case of multi-level datasets. Mining non-redundant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fca126413d1e578e4a567ddf773b3f5
https://doi.org/10.1007/s11518-009-5098-x
https://doi.org/10.1007/s11518-009-5098-x
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783319024615
There is an increasing awareness of sustainability and climate change and its impact on infrastructure and engineering asset management in design, construction, and operations. Sustainability rating tools have been proposed and/or developed that prov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b7f4dedd33a65415567a986271c9d5b
https://doi.org/10.1007/978-3-319-06966-1_46
https://doi.org/10.1007/978-3-319-06966-1_46
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783319024615
The relationship between corporate and sustainability performance continues to be controversial and unclear, not withstanding numerous theoretical and empirical studies. Despite this, views on corporate responsibilities “meet where management can s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35b65d1d1f70425be41d393625f8b0b2
https://doi.org/10.1007/978-3-319-06966-1_48
https://doi.org/10.1007/978-3-319-06966-1_48
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783319024615
The expectation to integrate sustainability aspects (social, environmental, and economic success) into the design, delivery, and operation of infrastructure assets is growing rapidly and globally. There are now several tools and frameworks available
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ab3c0dda5d4621c77e852f34d5cfd9c
https://doi.org/10.1007/978-3-319-06966-1_47
https://doi.org/10.1007/978-3-319-06966-1_47
Publikováno v:
Data & Knowledge Engineering
Association rule mining has contributed to many advances in the area of knowledge discovery. However, the quality of the discovered association rules is a big concern and has drawn more and more attention recently. One problem with the quality of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11b703da3c395bffa6e7f6cefa1147e6
https://igi.indrastra.com/items/show/29195
https://igi.indrastra.com/items/show/29195
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783642136566
PAKDD (1)
PAKDD (1)
Recommender systems are widely used online to help users find other products, items etc that they may be interested in based on what is known about that user in their profile. Often however user profiles may be short on information and thus it is dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f361c7e6e8104158c54d178b281be97
https://doi.org/10.1007/978-3-642-13657-3_37
https://doi.org/10.1007/978-3-642-13657-3_37
Publikováno v:
Proceedings of ADCS 2009
Studies in Computational Intelligence ISBN: 9783319018652
Innovations in Intelligent Machines (4)
Studies in Computational Intelligence ISBN: 9783319018652
Innovations in Intelligent Machines (4)
Association rule mining is one technique that is widely used when querying databases, especially those that are transactional, in order to obtain useful associations or correlations among sets of items. Much work has been done focusing on efficiency,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc61fa2c230bad7162fe077157dca6bc
https://igi.indrastra.com/items/show/28970
https://igi.indrastra.com/items/show/28970
Publikováno v:
2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.
Association rule mining and recommender systems are two popular methods for obtaining knowledge and information from datasets. However, both of these methods suffer from limitations. Traditionally association rule mining has focused on extracting as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::065a6e557b2cf17aaea127dc968b907c
https://doi.org/10.1109/wiiat.2008.39
https://doi.org/10.1109/wiiat.2008.39
Publikováno v:
ICTAI (2)
Association rule mining plays an important job in knowledge and information discovery. Often the number of the discovered rules is huge and many of them are redundant, especially for multi-level datasets. Previous work has shown that the mining of no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76b82c8329adc24508e9a96fc05b0610
https://doi.org/10.1109/ictai.2008.54
https://doi.org/10.1109/ictai.2008.54
Publikováno v:
CIKM
Association rule mining plays an important job in knowledge and information discovery. However, there are still shortcomings with the quality of the discovered rules and often the number of discovered rules is huge and contain redundancies, especiall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60db051917fa4e917a7509880f309769
https://doi.org/10.1145/1458082.1458328
https://doi.org/10.1145/1458082.1458328