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SEMMA

SEMMA is an acronym that stands for Sample, Explore, Modify, Model, and Assess. It is a list of sequential steps developed by SAS Institute Inc., one… 
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Cross Industry Standard Process for Data MiningData miningData visualization

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Evaluation of metal bioavailability in the Tega River watershed sediments in Southern Brazil
A Anthropogenic activities have an impact on water resources, especially due to industrial effluent releases. Sediments are the… 
2017
2017
Prediction Models for Box Office Revenue before Theatrical Release of Movies
This research project proposes to develop prediction models in the entertainment domain. There Prediction Models for Box Office… 
2013
2013
SEMMA: Secure Efficient Memory Management Approach in Virtual Environment
For the ability to explore the memory's fullest potential, memory de-duplication has been widely experimented with in current… 
2013
2013
Using business intelligence to predict student behaviour
In light of reduced Higher Education funding, increased student contributions and competition between institutions, finding ways… 
2013
2013
Predicting Women ’ s Department Purchases in a Retail Store by using the SEMMA Methodology
As one of the main retail companies in Chile, we are currently facing interesting challenges. Nowadays customers have so many… 
2012
2012
Applied Data Mining for Forecasting Using SAS
Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for… 
2007
2007
Data Mining in the Clinical Research Environment
Data mining has had wide adoption in recent years in many industries, largely because of the ability of mining techniques to… 
2005
2005
Rough Sets and Soft Computing in Intelligent Agent and Web Technologies
PMML, CRISP-DM and vendor dependent data mining project development methodologies such as SEMMA or CATs are a first step towards… 
2005
2005
Development of Coil Breakage Prediction Model In Cold Rolling Mill
proper prediction models. To reduce model parameters, we selected important variables related to the occurrence of coil breakage… 
2003
2003
A data mining application based on SEMMA
The SAS data mining methodology SEMMA is introduced briefly. SEMMA divides the process of data mining into 5 subprocesses… 
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