DocumentCode
234296
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
fYear
2014
fDate
20-22 Oct. 2014
Firstpage
107
Lastpage
114
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Technology (CIST), 2014 Third IEEE International Colloquium in
Conference_Location
Tetouan
Print_ISBN
978-1-4799-5978-5
Type
conf
DOI
10.1109/CIST.2014.7016603
Filename
7016603
Link To Document