An analysis on performance of different type classifiers in handling big data sets
Data analysis is one of the most important tasks in the decision making process. It helps decision maker to solve many problems such as classification and regression. However, wrong choice of method will produce inefficiency solution especially when dealing with big data sets. Besides, lack of infor...
الحاوية / القاعدة: | Frontiers in Artificial Intelligence and Applications |
---|---|
المؤلف الرئيسي: | Mohamad M.; Selamat A. |
التنسيق: | Conference paper |
اللغة: | English |
منشور في: |
IOS Press BV
2019
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082075517&doi=10.3233%2fFAIA190057&partnerID=40&md5=467a692fad8c4642ac4725b87309e519 |
مواد مشابهة
-
Enhancing big data feature selection using a hybrid correlation-based feature selection
بواسطة: Mohamad M.; Selamat A.; Krejcar O.; Crespo R.G.; Herrera-Viedma E.; Fujita H.
منشور في: (2021) -
The state of the art and taxonomy of big data analytics: view from new big data framework
بواسطة: 2-s2.0-85060981723
منشور في: (2020) -
Handling imbalanced dataset using SVM and k-NN approach
بواسطة: Wah Y.B.; Rahman H.A.A.; He H.; Bulgiba A.
منشور في: (2016) -
Big Data Analysis on Emotional Drivers and Strategies for Slow Fashion Consumption
بواسطة: Suxia, وآخرون
منشور في: (2025) -
The impact of big data on university libraries in Bangladesh
بواسطة: 2-s2.0-85210089043
منشور في: (2024)