Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Ahmed A. A. Esmin"'
Publikováno v:
Pattern Recognition Letters. 128:278-282
Data streams with missing values are common in real-world applications. This paper presents an evolving granular fuzzy-rule-based model for temporal pattern recognition and time series prediction in online nonstationary context, where values may be m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e390ba08a8802db0ff83f12a8d42bd6
https://doi.org/10.1016/j.patrec.2019.09.012
https://doi.org/10.1016/j.patrec.2019.09.012
Autor:
Thiago D. Maia, Ahmed A. A. Esmin, Marluce Rodrigues Pereira, Denilson Alves Pereira, Eduardo P. S. Castro
Publikováno v:
The Knowledge Engineering Review. 33
Several Apriori algorithm implementations for mining association rules have been proposed in the literature using the Hadoop-MapReduce framework and, more recently, Spark. However, none of the works have made a detailed assessment of its performance,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0dfaeaede5370f34ab90d5fd28d3ad8
https://doi.org/10.1017/s0269888918000127
https://doi.org/10.1017/s0269888918000127
Publikováno v:
2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media).
We propose a framework for disaster situation modeling in smart city using micro-reporting from the most efficient and reliable sources of multimedia, people with mobile phones. By using micro-reports generated from a crowdsourced mobile phone applic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04bfa1aa108c5325412501891e0c52fa
https://doi.org/10.1109/umedia.2017.8074107
https://doi.org/10.1109/umedia.2017.8074107
Publikováno v:
Artificial Intelligence Review. 44:23-45
Data clustering is one of the most popular techniques in data mining. It is a process of partitioning an unlabeled dataset into groups, where each group contains objects which are similar to each other with respect to a certain similarity measure and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84ef5e903aa24bf004cd798fd9f42896
https://doi.org/10.1007/s10462-013-9400-4
https://doi.org/10.1007/s10462-013-9400-4
Autor:
Rodrigo A. Coelho, Ahmed A. A. Esmin
Publikováno v:
Anais do 11. Congresso Brasileiro de Inteligência Computacional.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6316189b61d131719d59c20e74cd8fae
https://doi.org/10.21528/cbic2013-286
https://doi.org/10.21528/cbic2013-286
Publikováno v:
Anais do 11. Congresso Brasileiro de Inteligência Computacional.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a89788c370015bea0ddc22a54f718028
https://doi.org/10.21528/cbic2013-086
https://doi.org/10.21528/cbic2013-086
Publikováno v:
IEEE Transactions on Power Systems. 20:859-866
This paper presents a particle swarm optimization (PSO) as a tool for loss reduction study. This issue can be formulated as a nonlinear optimization problem. The proposed application consists of using a developed optimal power flow based on loss mini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d928456330441302180b7cb032370a8a
https://doi.org/10.1109/tpwrs.2005.846049
https://doi.org/10.1109/tpwrs.2005.846049
Publikováno v:
ICMLA
Number of defects remaining in a system provides an insight into the quality of the system. Defect detection systems predict defects by using software metrics and data mining techniques. Clustering analysis is adopted to build the software defect pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c51f93a319c7c1dd322b218411eaefae
https://doi.org/10.1109/icmla.2014.63
https://doi.org/10.1109/icmla.2014.63
Publikováno v:
IEEE/ACM Joint Conference on Digital Libraries.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f3598f536c6ab9caf7d0671e84a40af
https://doi.org/10.1109/jcdl.2014.6970153
https://doi.org/10.1109/jcdl.2014.6970153
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783319079820
NLDB
NLDB
This paper presents the real-time summarization of scheduled soccer games from flows of Twitter stream. During events, many messages (tweets) are sent describing and expressing opinions about the game. The proposed approach shrinks the stream of twee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e129a8cc9bbc141aa8cc155758759b28
https://doi.org/10.1007/978-3-319-07983-7_29
https://doi.org/10.1007/978-3-319-07983-7_29
