Ecological environment data feature recognition algorithm based on big data and machine learning

The invention discloses an ecological environment data feature recognition algorithm based on big data and machine learning. The algorithm comprises the following steps: data modeling; importing a data set; intelligent matching; generating a task instruction; according to the method, algorithm, artificial intelligence, machine learning and big data technologies are fused, data classification information, data information, database information, model information and other sample key data are imported into the system by modeling ecological environment data features and utilizing the big data and artificial intelligence technologies, and the data matching and storage efficiency is improved. Through comprehensive training and analysis of the system, automatic matching of semantic relevance automatic association database, table and file multi-format data semantics is realized, data is automatically extracted to generate an SQL (Structured Query Language), data storage and other operations are executed and complete