FLUID-SEARCH: A Heuristic based search for large data sets

The efficient retrieval of data from large datasets is a fundamental requirement in various applications. Traditional search methods, while effective in some cases, often lack the ability to grasp the inherent characteristics of data distribution. Recognizing the significance of comprehending data distribution within a dataset, this paper introduces a novel searching approach. This innovative method not only appreciates the nature of data distribution but also conducts searches through a heuristic process. By doing so, it enhances the efficiency of data retrieval without introducing additional storage overhead.In this research, we unveil a searching technique that capitalizes on its inherent understanding of data distribution. This approach stands out as more effective when compared to well-established methods like binary search and hash search. By intelligently leveraging the knowledge of data distribution, this method optimizes the search process, promising improved performance and practical utility in diverse fields where efficient data retrieval is a critical requirement.