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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 Mining
Data mining
Data visualization
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Albinism in a juvenile of Rhinella crucifer Wied-Neuwied, 1821 (Anura: Bufonidae) from southeastern Brazil
L. P. V. Barros
,
R.F. Muniz
,
João Pedro Kloss-Degen
,
T. Castro
,
Jane C. F. Oliveira
,
C. Rocha
2018
Corpus ID: 92032665
combination of homozygosis in recessive alleles, leading to disturbance of the melanin system (Carden et al., 1998). Albino…
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2018
2018
Using Analytics to Improve Student Advising System
Youyou Zheng
,
Thanuja Sakruti
2018
Corpus ID: 51826444
Student success is one of the most important topics for any institutions. In this paper, the institutional researchers discussed…
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2017
2017
Evaluation of metal bioavailability in the Tega River watershed sediments in Southern Brazil
M. Schmitz
,
M. Giovanela
,
V. Schneider
2017
Corpus ID: 56334017
A Anthropogenic activities have an impact on water resources, especially due to industrial effluent releases. Sediments are the…
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2017
2017
Prediction Models for Box Office Revenue before Theatrical Release of Movies
A. Naik
2017
Corpus ID: 69984986
This research project proposes to develop prediction models in the entertainment domain. There Prediction Models for Box Office…
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2013
2013
Using business intelligence to predict student behaviour
Richard M. S. Wilson
2013
Corpus ID: 65488887
In light of reduced Higher Education funding, increased student contributions and competition between institutions, finding ways…
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2013
2013
Predicting Women ’ s Department Purchases in a Retail Store by using the SEMMA Methodology
M. Fuentes
2013
Corpus ID: 17195215
As one of the main retail companies in Chile, we are currently facing interesting challenges. Nowadays customers have so many…
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2011
2011
Applying Evaluation of Soil Erosion Models for Burnt Hillslopes - RUSLE, WEPP and SEMMA
Park Sang Deog
,
Seungsook Shin
2011
Corpus ID: 135318363
2007
2007
Data Mining in the Clinical Research Environment
Dave Smith
2007
Corpus ID: 54876233
Data mining has had wide adoption in recent years in many industries, largely because of the ability of mining techniques to…
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2005
2005
Development of Coil Breakage Prediction Model In Cold Rolling Mill
Yeongbok Park
,
H. Hwang
2005
Corpus ID: 41624364
proper prediction models. To reduce model parameters, we selected important variables related to the occurrence of coil breakage…
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2003
2003
A data mining application based on SEMMA
Yin Jun
2003
Corpus ID: 111895842
The SAS data mining methodology SEMMA is introduced briefly. SEMMA divides the process of data mining into 5 subprocesses…
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