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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Big data is an evolving term that describes any voluminous amount of structured, semistructured and unstructured data that has the potential to be mined for information.Today’s world produces a large amount of data from various sources, records and from different fields termed as “BIG DATA”. Such huge data is to be analyzed, and filtered using various techniques and algorithms to extract the interested and useful data to gain knowledge. In the new era with the boom of both structured and unstructured types of data, in the field of genomics, meteorology, biology, environmental research and many others, it has become difficult to process, manage and analyze patterns using traditional databases and architectures. It requires new technologies and skills to analyze the flow of material and draw conclusions. So, a proper architecture should be understood to gain knowledge about the Big Data. The analysis of Big Data involves multiple distinct phases such as collection, extraction, cleaning, analysis and retrieval.
Ch.Monica. 2015. \u201cImproved Approaches to Handle Bigdata through Hadoop\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C9): .
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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Big data is an evolving term that describes any voluminous amount of structured, semistructured and unstructured data that has the potential to be mined for information.Today’s world produces a large amount of data from various sources, records and from different fields termed as “BIG DATA”. Such huge data is to be analyzed, and filtered using various techniques and algorithms to extract the interested and useful data to gain knowledge. In the new era with the boom of both structured and unstructured types of data, in the field of genomics, meteorology, biology, environmental research and many others, it has become difficult to process, manage and analyze patterns using traditional databases and architectures. It requires new technologies and skills to analyze the flow of material and draw conclusions. So, a proper architecture should be understood to gain knowledge about the Big Data. The analysis of Big Data involves multiple distinct phases such as collection, extraction, cleaning, analysis and retrieval.
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