Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Mahreen Nasir"'
Autor:
Mahreen Nasir, C. I. Ezeife
Publikováno v:
International Journal of Data Science and Analytics. 15:67-91
Autor:
Mahreen Nasir
Publikováno v:
International Journal of Computer Applications. 183:14-19
Publikováno v:
Advanced Data Mining and Applications ISBN: 9783030954079
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::890510c5f9e403302f3290f03d94bc4b
https://doi.org/10.1007/978-3-030-95408-6_5
https://doi.org/10.1007/978-3-030-95408-6_5
Publikováno v:
Information Integration and Web Intelligence ISBN: 9783031210464
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::113bf60611dc82053a30572ab588e3a4
https://doi.org/10.1007/978-3-031-21047-1_12
https://doi.org/10.1007/978-3-031-21047-1_12
Publikováno v:
2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall).
Publikováno v:
Social Network Analysis and Mining. 11
Collaborative Filtering (CF)-based recommendation methods suffer from (i) sparsity (have low user–item interactions) and (ii) cold start (an item cannot be recommended if no ratings exist). Systems using clustering and pattern mining (frequent and
Autor:
C. I. Ezeife, Mahreen Nasir
Publikováno v:
ASONAM
In Collaborative Filtering methods, tailored recommendations cannot be obtained when the user-item matrix is sparse (i.e., has low user-item interactions such as item ratings or purchases). Conventional recommendation systems (ChoiRec12, HPCRec18, HS
Autor:
Farrukh Nadeem, Anser G. Ali, Amin Y. Noaman, Nabeela Al-Abdullah, Mahreen Nasir, Arwa Jamjoom, Abdul Hamid M. Ragab
Publikováno v:
BioMed Research International
BioMed Research International, Vol 2017 (2017)
BioMed Research International, Vol 2017 (2017)
Prediction of nosocomial infections among patients is an important part of clinical surveillance programs to enable the related personnel to take preventive actions in advance. Designing a clinical surveillance program with capability of predicting n
Autor:
Mahreen Nasir, Farrukh Nadeem
Publikováno v:
International Journal of Engineering and Applied Computer Science. :46-53
Publikováno v:
Big Data Analytics and Knowledge Discovery ISBN: 9783030275198
DaWaK
DaWaK
In E-commerce Recommendation system, accuracy will be improved if more complex sequential patterns of user purchase behavior are learned and included in its user-item matrix input, to make it more informative before collaborative filtering. Existing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7718ec7d48794089ac64380ec3db51e
https://doi.org/10.1007/978-3-030-27520-4_5
https://doi.org/10.1007/978-3-030-27520-4_5