A Review of Software Packages for Data Mining
نویسندگان
چکیده
منابع مشابه
A Review of Software Packages for Data Mining
We present to the statistical community an overview of five data mining packages with the intent of leaving the reader with a sense of the different capabilities, the ease or difficulty of use, and the user interface of each package. We are not attempting to perform a controlled comparison of the algorithms in each package to decide which has the strongest predictive power, but instead hope to ...
متن کاملA Systematic Review of Data Mining Applications in Digital Libraries
Purpose: Study aimed to identify the applications of data mining in the provision of services, collection and management of digital libraries. Methodology: This is an applied study in terms of purpose and in terms of method is qualitative research that have been done by systematic review method. For this purpose, articles have been obtained by searching databases of Springer, Emerald, ProQuest,...
متن کاملUsing data mining techniques for predicting the survival rate of breast cancer patients: a review article
This review was conducted between December 2018 and March 2019 at Isfahan University of Medical Sciences. A review of various studies revealed what data mining techniques to predict the probability of survival, what risk factors for these predictions, what criteria for evaluating data mining techniques, and finally what data sources for it have been used to predict the surv...
متن کاملEvaluating and selecting software packages: A review
Evaluating and selecting software packages that meet an organization’s requirements is a difficult software engineering process. Selection of a wrong software package can turn out to be costly and adversely affect business processes. The aim of this paper is to provide a basis to improve the process of evaluation and selection of the software packages. This paper reports a systematic review of ...
متن کاملMicroarray data mining using Bioconductor packages
BACKGROUND This paper describes the results of a Gene Ontology (GO) term enrichment analysis of chicken microarray data using the Bioconductor packages. By checking the enriched GO terms in three contrasts, MM8-PM8, MM8-MA8, and MM8-MM24, of the provided microarray data during this workshop, this analysis aimed to investigate the host reactions in chickens occurring shortly after a secondary ch...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The American Statistician
سال: 2003
ISSN: 0003-1305,1537-2731
DOI: 10.1198/0003130032486