KDD is an internationally renowned and important conference in the field of data mining and knowledge discovery, and is considered one of the top conferences in the field.

KDD, known as Knowledge Discovery and Data Mining, is an international academic conference organized by ACM (Association for Computing Machinery). The conference is held once a year, aiming to provide a platform for exchanging academic research results, showcasing the latest technologies, and sharing experiences and ideas.

The KDD conference was first held in 1995, and has been successfully organized for 25 times. The conference gathers academic researchers, industrial experts and students from all over the world to exchange and share the latest research results, application cases and technological innovations in the field of data mining and knowledge discovery.

Papers in KDD conferences are mainly related to the following areas: data mining, machine learning, data science, knowledge discovery, big data analytics, data visualization, web analytics, natural language processing, etc. The quality and quantity of the papers in KDD conferences are very high, and therefore the papers published in KDD are very valuable for researchers in this field. Meanwhile, KDD conference is also widely regarded as one of the important academic conferences in this field, similar to ICDM (International Conference on Data Mining) and SDM (SIAM International Conference on Data Mining).

In short, KDD conference is an important academic conference in the field of data mining and knowledge discovery, and it is also an important platform for researchers in this field to communicate and share the latest technology, research results and ideas.