Prediksi Retensi Customer Berdasarkan Support Vector Machine dengan Preprocessing Menggunakan Hadoop
(1) Program Studi Informatika
(2) Program Studi Informatika
(3) Program Studi Informatika
(*) Corresponding Author
Abstract
Keywords
Full Text:
PDFReferences
Apache. 2015. Apache Hadoop 2.7.1 – MapReduce Tutorial. URI=https://hadoop.apache.org/docs/r2.7.1/hadoopmapreduce-client/hadoop-mapreduce-clientcore/MapReduceTutorial.html.
Apache. 2015. Apache Hadoop 2.7.1 – HDFS Architecture. URI=https://hadoop.apache.org/docs/r2.7.1/hadoop-projectdist/hadoop-hdfs/HdfsDesign.html.
Awad, M., & Khanna, R. 2015. Efficient Learning Machines. Springer Science.
Bhosale, H.S. & Gadekar, P. D. 2014. A Review Paper on Big Data and Hadoop. International Journal of Scientific and Research Publications, Volume 4, Issue 10, 1-6.
Kowalczyk, A. 2017. Support Vector Machines Succinctly. Syncfusion. [6] Permana, Y. 2016. Mengenal Big Data. URI=https://www.codepolitan.com/mengenal-big-data.
SAS. 2019. Big Data: What it is and why it matters. URI=https://www.sas.com/en_id/insights/big-data/what-isbig-data.html [8] Turkington, G. 2013. Hadoop Beginner’s Guide. Packt Publishing Ldt. [9] Maitrey, S. & Jha, C.K. 2015. MapReduce:Simplified Data Analysis of Big Data. Procedia Computer Science 57, 563 – 571.
Refbacks
- There are currently no refbacks.
Jurnal telah terindeks oleh :