Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Govidarajan, M. (2013) A Hybrid Framework using RBF and SVM for Direct Marketing. International Journal of Advanced Computer Science and Applications, 4. doi:10.14569/ijacsa.2013.040419

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleA Hybrid Framework using RBF and SVM for Direct Marketing
JournalInternational Journal of Advanced Computer Science and Applications
AuthorsGovidarajan, M.Author
Year2013Volume4
PublisherThe Science and Information Organization
DOIdoi:10.14569/ijacsa.2013.040419Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID10369480Long-form Identifiermindat:1:5:10369480:3
GUID0
Full ReferenceGovidarajan, M. (2013) A Hybrid Framework using RBF and SVM for Direct Marketing. International Journal of Advanced Computer Science and Applications, 4. doi:10.14569/ijacsa.2013.040419
Plain TextGovidarajan, M. (2013) A Hybrid Framework using RBF and SVM for Direct Marketing. International Journal of Advanced Computer Science and Applications, 4. doi:10.14569/ijacsa.2013.040419
In(n.d.) International Journal of Advanced Computer Science and Applications Vol. 4. The Science and Information Organization

See Also

These are possibly similar items as determined by title/reference text matching only.

Altaher, Altyeb (2017) Phishing Websites Classification using Hybrid SVM and KNN Approach. International Journal of Advanced Computer Science and Applications, 8. doi:10.14569/ijacsa.2017.080611
Turkia, Debabi, Souha, Bousselmi, Adnen, Cherif (2019) Innovative Automatic Discrimination Multimedia Documents for Indexing using Hybrid GMM-SVM Method. International Journal of Advanced Computer Science and Applications, 10. doi:10.14569/ijacsa.2019.0100136
Bhaskar, Garimella (2010) framework for Marketing Libraries in the Post-Liberalized Information and Communications Technology Era. International Journal of Advanced Computer Science and Applications, 1. doi:10.14569/ijacsa.2010.010519
Geetha, B., E., Prof. (2013) A Hybrid Model for Secure Data Transfer in Audio Signals using HCNN and DD DWT. International Journal of Advanced Computer Science and Applications, 4. doi:10.14569/ijacsa.2013.040729
Arai, Kohei (2018) Method for Thermal Pain Level Prediction with Eye Motion using SVM. International Journal of Advanced Computer Science and Applications, 9. doi:10.14569/ijacsa.2018.090427
Shilpa, M.; Nandini, C. (2025) Bio-Inspired Metaheuristic Framework for DNA Motif Discovery Using Hybrid Cluster Based Walrus Optimization. International Journal of Advanced Computer Science and Applications, 16 (7). doi:10.14569/ijacsa.2025.0160723
Belghith, Akram, Bowd, Christopher, Balasubramanian, Madhusudhanan, N., Robert, M., Linda (2013) A Bayesian framework for glaucoma progression detection using Heidelberg Retina Tomograph images. International Journal of Advanced Computer Science and Applications, 4. doi:10.14569/ijacsa.2013.040934
Afifi, Ashraf (2014) Laguerre Kernels –Based SVM for Image Classification. International Journal of Advanced Computer Science and Applications, 5. doi:10.14569/ijacsa.2014.050103
M, Shambulinga, Sadashivappa, G. (2020) Supervised Hyperspectral Image Classification using SVM and Linear Discriminant Analysis. International Journal of Advanced Computer Science and Applications, 11 (10) doi:10.14569/ijacsa.2020.0111050
Obiedat, Ruba (2020) Developing Decision Tree based Models in Combination with Filter Feature Selection Methods for Direct Marketing. International Journal of Advanced Computer Science and Applications, 11. doi:10.14569/ijacsa.2020.0110180
H., Mohammed, Hedar, Abdel-Rahman, H., Taysir, B., Yousef (2013) SS-SVM (3SVM): A New Classification Method for Hepatitis Disease Diagnosis. International Journal of Advanced Computer Science and Applications, 4. doi:10.14569/ijacsa.2013.040208
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 23, 2025 04:51:43
Go to top of page