Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kadhim B. S. AlJanabi"'
Publikováno v:
Journal of Kufa for Mathematics and Computer, Vol 10, Iss 1 (2023)
Among different techniques, algorithms and applications of Data Mining, predicting the class label of unlabeled objects(undefined class label) is a crucial term in the field. The most common approaches in this area is the use of classification techni
Externí odkaz:
https://doaj.org/article/96bdc3b3b3d94101ad2a499a83768602
Autor:
Kadhim B. S. AlJanabi
Publikováno v:
Journal of Kufa for Mathematics and Computer, Vol 3, Iss 1 (2016)
The work in this paper presents a proposed solution for preprocessing, analyzing, mining and data warehouse model for personal medical data collected from different hospitals and clinics. The proposed solution contains different phases and steps, inc
Externí odkaz:
https://doaj.org/article/f81a50def73047c58d32515943bfe7ef
Publikováno v:
Journal of Kufa for Mathematics and Computer, Vol 2, Iss 3 (2015)
Solving transportation problems where products to be supplied from one side(sources) to another (demands) with a goal to minimize the overall transportation cost represents an activity of great importance. Most of the works done in the field deals wi
Externí odkaz:
https://doaj.org/article/09ff191e502348ea8953e6530a35ec34
Publikováno v:
2022 Iraqi International Conference on Communication and Information Technologies (IICCIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ae0e4911f63c4034f7bbd2f6ff8864a
https://doi.org/10.1109/iiccit55816.2022.10010551
https://doi.org/10.1109/iiccit55816.2022.10010551
Publikováno v:
3RD INTERNATIONAL SCIENTIFIC CONFERENCE OF ALKAFEEL UNIVERSITY (ISCKU 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3083a4d2e47fa8c2d68a6b44fc029a7
https://doi.org/10.1063/5.0066837
https://doi.org/10.1063/5.0066837
Autor:
Zainab Alkhayat, Kadhim B. S. Aljanabi
Publikováno v:
3RD INTERNATIONAL SCIENTIFIC CONFERENCE OF ALKAFEEL UNIVERSITY (ISCKU 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::205d07a5f59421daa9ca1622ca5f0c11
https://doi.org/10.1063/5.0066804
https://doi.org/10.1063/5.0066804
Clustering represents one of the most popular and used Data Mining techniques due to its usefulness and the wide variations of the applications in real world. Defining the number of the clusters required is an application oriented context, this means
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81c2a9ac03cc45138ec608115b3f7552
https://zenodo.org/record/7059036
https://zenodo.org/record/7059036
Publikováno v:
Journal of Kufa for Mathematics and Computer. 3:18-24
Clustering represents one of the most popular knowledge extraction algorithms in data mining techniques. Hierarchical and partitioning approaches are widely used in this field. Each has its own advantages, drawbacks and goals. K-means represents the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92f82e79d8e6e90dbe38b326b5921cb0
https://doi.org/10.31642/jokmc/2018/030203
https://doi.org/10.31642/jokmc/2018/030203
Publikováno v:
Journal of Physics: Conference Series. 1530:012113
Search algorithms play an essential role in wide variety of applications in computer science. Different search algorithms can be applied to different data structures. Each data structure has its own advantages and limitations which in turn affect the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e07c32e04a945c0f0482b7878273dc07
https://doi.org/10.1088/1742-6596/1530/1/012113
https://doi.org/10.1088/1742-6596/1530/1/012113
Publikováno v:
Journal of Physics: Conference Series. 1032:012052
Text classification (TC) is an essential field in both text mining (TM) and natural language processing (NLP). Humans have a tendency to organize and categorize everything as they want to make things easier to understand. Therefore, text classificati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95d5e3ec4d58a4cb68e43d410639ea60
https://doi.org/10.1088/1742-6596/1032/1/012052
https://doi.org/10.1088/1742-6596/1032/1/012052