Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Scott Buffett"'
Autor:
Scott Buffett
Publikováno v:
Information, Vol 11, Iss 1, p 44 (2020)
A ubiquitous challenge throughout all areas of data mining, particularly in the mining of frequent patterns in large databases, is centered on the necessity to reduce the time and space required to perform the search. The extent of this reduction pro
Externí odkaz:
https://doaj.org/article/b7182c5545a74ae6ae9348493ac1a3b2
Autor:
Mohammad Mamun, Scott Buffett
Publikováno v:
Information and Communications Security ISBN: 9783031157769
Host behaviour modelling is widely deployed in today’s corporate environments to aid in the detection and analysis of cyber attacks. Audit logs containing system-level events are frequently used for behavior modeling as they can provide detailed in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f095a914382fb41c574f875fb69ef8ec
https://nrc-publications.canada.ca/eng/view/object/?id=96464603-3451-434c-9358-7197364ac54e
https://nrc-publications.canada.ca/eng/view/object/?id=96464603-3451-434c-9358-7197364ac54e
Autor:
Scott Buffett
Publikováno v:
Granular Computing. 6:853-866
This paper proposes an approach for behavioural analysis on continuous data based on sequential pattern mining (SPM) and classification. Discretization and granularity issues associated with SPM and classification with time series data are examined,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f974cb48548acaf5f077788ae1b21154
https://doi.org/10.1007/s41066-020-00234-2
https://doi.org/10.1007/s41066-020-00234-2
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783030473570
Canadian Conference on AI
Canadian Conference on AI
Traditional static pattern mining techniques, such as association rule mining and sequential pattern mining, perform inefficiently when applied to streaming data when regular updates are required, since there is significant repetition in the computat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a45b813ddb58a974f8acf0acd45a430
https://doi.org/10.1007/978-3-030-47358-7_8
https://doi.org/10.1007/978-3-030-47358-7_8
Autor:
Scott Buffett
Publikováno v:
IEEE BigData
High utility sequential pattern mining (HUSPM) lends the aspect of item value or importance to sequential pattern mining by identifying patterns that comprise a significant level of utility in a database. This paper addresses the challenge of establi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c79cf096015f664d052b00af5fc8889e
https://doi.org/10.1109/bigdata.2018.8622138
https://doi.org/10.1109/bigdata.2018.8622138
Autor:
Bruce Spencer, Scott Buffett
Publikováno v:
Electronic Commerce Research and Applications. 6:274-284
We present a classification method for learning an opponent's preferences during a bilateral multi-issue negotiation. Similar candidate preference relations over the set of offers are grouped into classes, and a Bayesian technique is used to determin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18c0cbff8374112646eb757f889228a0
https://doi.org/10.1016/j.elerap.2006.06.008
https://doi.org/10.1016/j.elerap.2006.06.008
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783642384561
Canadian Conference on AI
Canadian Conference on AI
Decision making can be more difficult with an enormous amount of information, not only for humans but also for automated decision making processes. Although most user preference elicitation models have been developed based on the assumption that user
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff4659d3d7daf94e8105025ee35fe68e
https://nrc-publications.canada.ca/eng/view/object/?id=105af4dc-24f7-454e-9c2d-c3f30cabd9ee
https://nrc-publications.canada.ca/eng/view/object/?id=105af4dc-24f7-454e-9c2d-c3f30cabd9ee
Autor:
Scott Buffett, Bruce Spencer
Publikováno v:
ICEC
Currently social networks are used by buyers to become more aware of sellers and their goods. Increasingly, they are used with three other market mechanisms: Buyers use social networks to form buyer groups that leverage purchasing power. Sellers ince
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d6e6f3c22cae7ced019fc8e61222f98
https://doi.org/10.1145/2346536.2346554
https://doi.org/10.1145/2346536.2346554
Autor:
Scott Buffett, Scott Flinn
This chapter discusses privacy from the perspective of the consumer of e-services. It proposes a technique for risk management assessment designed to help consumers evaluate a situation to identify and understand potential privacy concerns. The techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d6123035827e89b60450409297e8b3c
https://doi.org/10.4018/978-1-59140-914-4.ch001
https://doi.org/10.4018/978-1-59140-914-4.ch001
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783642210426
Canadian Conference on AI
Canadian Conference on AI
Existing preference prediction techniques can require that an entire preference structure be constructed for a user. These structures, such as Conditional Outcome Preference Networks (COP-nets), can grow exponentially in the number of attributes desc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::596b90c85f9d50d7d9518c6b643307ee
https://doi.org/10.1007/978-3-642-21043-3_6
https://doi.org/10.1007/978-3-642-21043-3_6