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Search refers to the process of finding information or data within a dataset or database. In data science and artificial intelligence, search algorithms are used to find patterns, relationships, and insights within large and complex datasets. These algorithms can be used for various purposes such as information retrieval, recommendation systems, and anomaly detection. Search algorithms can be categorized into two main types: 1. Uninformed search: This type of search algorithm does not use any prior knowledge about the dataset and explores all possible paths to find the solution. Examples of uninformed search algorithms include Breadth-First Search and Depth-First Search. 2. Informed search: This type of search algorithm uses prior knowledge or heuristics to guide the search process and find the solution more efficiently. Examples of informed search algorithms include A* Search and Greedy Best-First Search.


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