SEO Mining discusses ebusiness Architecure, ebusiness Architecture Concepts, ebusiness Solutions, ebusiness Technology, ecommerce fundamentals, and ecommerce Site Implementation.

SEO Mining is the advanced analysis process of the "Knowledge Discovery in Databases" process which is an interdisciplinary subfield of computer science. This involves the computational process of discovering patterns in large data sets involving methods from fields such as artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data preprocessing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.

SEOMining is frequently generalized to any kind of computer decision support system, including artificial intelligence, machine learning, and business intelligence. In the proper use of the word, the key term is discovery, commonly defined as "detecting something new". The popular book "Data mining: Practical machine learning tools and techniques with Java" (which covers mostly machine learning material) was originally to be named just "Practical machine learning", and the term "data mining" was only added for marketing reasons.