Authors :
Anisha S; Dr. S Thiyagarajan
Volume/Issue :
Volume 9 - 2024, Issue 1 - January
Google Scholar :
http://tinyurl.com/mr3cmve5
Scribd :
http://tinyurl.com/98764zba
DOI :
https://doi.org/10.5281/zenodo.10634318
Abstract :
Business Organizations are flooded with large
pool of unstructured data. Loading these data into
business database warranted a lot of processes. Companies
having BPO and KPO are working for converting
unstructured data into their software database with huge
resources through programming, with multiple queries
and users. To deal with such complex and perplexed
situations need an automated system in place and thereby
saving a large amount of time and resources. The aim of
the present research was to analyse methodically, the
technical works relating to the application of data mining,
artificial intelligence (AI) and machine learning (ML) in
the software industry. In this paper combining with
different disciplines of data mining techniques, ML and
NLP. Objective of this paper is to improve the
organization's business intelligence process through
maximum exploitation of unstructured data owned by
them. This paper primarily attempts to examine the
applicability of combination of data mining techniques,
NLP and ML in handling unstructured data and reduces
the burden on users by minimizing the usage of multiple
queries and make them user-friendly to extract data from
large database.
Keywords :
Application Database, Data mining, ML, NLP.
Business Organizations are flooded with large
pool of unstructured data. Loading these data into
business database warranted a lot of processes. Companies
having BPO and KPO are working for converting
unstructured data into their software database with huge
resources through programming, with multiple queries
and users. To deal with such complex and perplexed
situations need an automated system in place and thereby
saving a large amount of time and resources. The aim of
the present research was to analyse methodically, the
technical works relating to the application of data mining,
artificial intelligence (AI) and machine learning (ML) in
the software industry. In this paper combining with
different disciplines of data mining techniques, ML and
NLP. Objective of this paper is to improve the
organization's business intelligence process through
maximum exploitation of unstructured data owned by
them. This paper primarily attempts to examine the
applicability of combination of data mining techniques,
NLP and ML in handling unstructured data and reduces
the burden on users by minimizing the usage of multiple
queries and make them user-friendly to extract data from
large database.
Keywords :
Application Database, Data mining, ML, NLP.
