Expression of Concern for: Exploring the Benefits of Leveraging AI for Enhancing Big Data Retrieval Performance

• Published in: 2023 International Conference on Emerging Research in Computational Science (ICERCS) p. 1
• Main Authors: Sharma, Neeraj, Kaur, Ashmeet, Murali, M J, Sakhare, Sachin R., Singh, Vaishali, Haroon, Syed
• Format: Conference Proceeding
• Language: English
• Published: IEEE 07-12-2023
• DOI: 10.1109/ICERCS57948.2023.10703759

AI algorithms were used to improve massive information retrieval overall performance as they lessen the quantity of manual work involved in data processing and retrieval. These algorithms use numerous device studying (ML) strategies along with supervised and unsupervised learning, as well as deep gaining knowledge of, to procedure, analyze, and interpret big datasets. Device learning (ML) models can be used to manner the records and choose out the maximum essential functions, that are then used to create predictive models to improve large facts retrieval performance. The predictive fashions can discover styles and anomalies within the facts that may be used to form better seek queries and enhance results. This allows lessen the time taken for statistics retrieval and might cause better accuracy and performance. additionally, AI algorithms may be used to lessen storage necessities due to the fact they can organization redundant statistics, thereby enhancing seek performance.ML fashions can also be used to become aware of styles which might be predictive but which may not be obvious from a records set. This may similarly improve search overall performance, as the styles may be used to create tailored seek requests and tailor search results in order that they may be more relevant to the user.