Microsoft Analysis Services – Knowledge and References

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Mining and Analysis of Bioprocess Data

Published in Shampa Sen, Leonid Datta, Sayak Mitra, Machine Learning and IoT, 2018

Prerna Grover, Aditya Shah, Shampa Sen

Software commonly used for data mining purposes can be either free open-source or proprietary data mining software. Free open-source data mining software offers free online access to data mining tools. These are mainly Carrot2, Chemicalize.org, ELKI, GATE, KNIME, Massive Online Analysis (MOA), MEPX, ML-Flex, MLPACK library, NLTK (Natural Language Toolkit), Open NN, Orange, R, scikit-learn, Torch, UIMA and Weka [45]. Proprietary data mining software levy subscriptions and monetary charges to its customers before handing any rights to access the data mining tools. The examples of such software packages are Angoss Knowledge STUDIO, Clarabridge, KXEN Modeler, LIONsolver, Megaputer Intelligence, Microsoft Analysis Services, Net Owl, Open Text Big Data Analytics, Oracle Data Mining, PSeven, Qlucore Omics Explorer, Rapid Miner, SAS Enterprise Miner, SPSS Modeler, STATISTICA Data Miner, Tanagra and Vertica [46–47].

Evaluation of algorithms to predict graduation rate in higher education institutions by applying educational data mining

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Journal Information

Published in Australasian Journal of Engineering Education, 2019

Oswaldo Moscoso-Zea, Pablo Saa, Sergio Luján-Mora

After having the information of the focus group of analysis, the data were cleaned, verifying formats and checking that information was correct. This process was performed using Microsoft SQL Server Integration Services and Microsoft Analysis Services.