Different Analytic Disciplines Com-pared to Data Science | ||||
| مجلة الجمعية المصرية لنظم المعلومات وتکنولوجيا الحاسبات | ||||
| Article 19, Volume 17, السابع عشر - Serial Number 17, June 2016, Page 17-21 PDF (8.3 MB) | ||||
| Document Type: • البحوث والدراسات والمقالات المستوفاة للقواعد العلمیة المتعارف علیها، والتى یجریها أو یشارک فى إجرائها أعضاء هیئة التدریس والباحثون فى الجامعات ومراکز البحوث المصریة والعربیة، وذلک باللغتین العربیة والإنجلیزیة . | ||||
| DOI: 10.21608/jstc.2016.118414 | ||||
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| Abstract | ||||
| Abstract What are the differences between data science, data mining, machine learning, statistics, operations research, and so on? In this work, there is a comparison of several analytic disciplines that overlap,and explanation of the differences and common denominators. Sometimes differences exist for nothing else other than historical reasons. Sometimes the differences are real and subtle. It is also provided some typical job titles, types of analyses, and industries traditionally attached to each discipline. Underlined domains are main sub-domains. | ||||
| Keywords | ||||
| Data Science; Data Engineering; Machine Learning; Data Mining; Big Data; Business Intelligence; Artificial Intelligence; Computer Science; Predictive Modeling; Statistics; Operations Research; Mathematics Optimization; Six Sigma; Actuarial sciences; Econometrics | ||||
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