Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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One way to understand how a city government works is by looking at who it employs and how its employees are compensated. This data contains the names, job title, and compensation for San Francisco city employees on an annual basis from 2011 to 2014. The analyzed data will be shown in the form of various charts and graphs with respect to 1. Yearly Mean Pay, 2. Mean Pay by Job Type, 3. Pay based on Base Pay, Overtime Pay, Other Pay and Benefits. As the Salary seeking population grows, the data also grows in size. This becomes a challenge for the traditional RDBMS to manage the huge volumes of data. Hence Salary data Analysis can be made using Hive and Map Reduce algorithms to eliminate the challenges faced by the traditional RDBMS.
Ishan Fafadia. 2017. \u201cBig Data Analysis of Salary Dataset using Hive\u201d. Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 16 (GJCST Volume 16 Issue H4): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Neural Networks and Rules-based Systems used to Find Rational and
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One way to understand how a city government works is by looking at who it employs and how its employees are compensated. This data contains the names, job title, and compensation for San Francisco city employees on an annual basis from 2011 to 2014. The analyzed data will be shown in the form of various charts and graphs with respect to 1. Yearly Mean Pay, 2. Mean Pay by Job Type, 3. Pay based on Base Pay, Overtime Pay, Other Pay and Benefits. As the Salary seeking population grows, the data also grows in size. This becomes a challenge for the traditional RDBMS to manage the huge volumes of data. Hence Salary data Analysis can be made using Hive and Map Reduce algorithms to eliminate the challenges faced by the traditional RDBMS.
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