Title :
Algorithms and systems for data mining: A survey
Author :
Eddib, Adil Jad Allah ; Mohammed, El Mohajir ; Chahhou, Mohamed
Author_Institution :
Fac. of Sci., USMBA, Fez, Morocco
Abstract :
There are many algorithms and systems for mining data that are being constantly developed and improved by research communities and industrial organizations worldwide, but choosing the most adequate and with the most optimal results for the problem at hand remains a main concern and a critical decision to make. This paper inspects the most used algorithms and systems for data mining in order to point out their similarities and differences, their advantages and drawbacks, and define for each algorithm or system the situations it is best suited for.
Keywords :
data mining; data mining algorithm; data mining system; Algorithm design and analysis; Association rules; Classification algorithms; Clustering algorithms; Itemsets; algorithms; data mining; data mining software; survey;
Conference_Titel :
Information Science and Technology (CIST), 2014 Third IEEE International Colloquium in
Conference_Location :
Tetouan
Print_ISBN :
978-1-4799-5978-5
DOI :
10.1109/CIST.2014.7016603
