What is a priori algorithm?
The apriori algorithm is an algorithm that attempts to process database data records, in particular transaction data records or data records including certain numbers of fields or elements. It is one of several algorithms that use a 'bottom-up' approach to incrementally contrast complex data sets and is useful in today's complex machine learning and artificial intelligence projects.
In essence, the Apriori algorithm takes each part of a larger data set and 'scores' it or contrasts it with other sets in an ordered manner. The resulting scores are used to generate sentences that are classified as common appearances in a larger database for aggregated data collection.
In a practical sense, one can get a better idea of the algorithm by looking at applications like a 'Market Basket Tool' which helps figure out which items are being bought together in a basket, or a financial analysis tool which helps too show how different stocks develop together. On the other hand, scientists can better describe the Apriori algorithm from its pseudocode, which is available online.
The Apriori Algorithm can be used in conjunction with other algorithms to effectively sort and contrast data to show a much better picture of how complex systems reflect patterns and trends.