• Mr. Badugu Ranjith Kumar
• Mr. Vishnu Prasad Goranthala

The crisis of detecting errors, different patterns, duplication, and misbehavior are known as Anomaly detection. The problem based on applications is anomaly detection, and it is considered as one of the leading research. Different non-conforming patterns, aberrations, peculiarities or exceptions in a range of application domains are often referred to as anomalies. The other aspects from these are the duplicate records, error, misbehavior based data which have been treated as anomalies. Anomaly detection was normally used in online applications such as banking, credit card fraud, insurance, and healthcare. In recent database management system meets issues every day due to increased volume of data and it is a difficult problem for database administrators. Digital library, e-commerce records have a different data structure and different schemes. It makes a little response in terms of time, relevancy, security and poor quality in probing and managing the huge amount of data.

Anomalies, e-commerce, Digital library novel framework

"A Framework for Automatic Data Maintenance In Business Applications", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.229-233, March-2019, Available :http://www.jetir.org/papers/JETIRAR06052.pdf

"A Framework for Automatic Data Maintenance In Business Applications", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp229-233, March-2019, Available at : http://www.jetir.org/papers/JETIRAR06052.pdf