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Welcome to SEOMining!

SEO Mining discusses ebusiness Architecure, ebusiness Architecture Concepts, ebusiness Solutions, ebusiness Technology, ecommerce fundamentals, and ecommerce Site Implementation.
ebusiness Architecture
e-business Architecture - Glossary
b2c vs c2c ebusiness Architecture Roles History of eBusiness
Closed Standards Cons Reasons for Adopting e-business B2B Advertising Model Types buyer aggregator model
Scope ebusiness Architect - Quiz
ebusiness Architecture Concepts
ebusiness Architecture Concepts - Glossary
Separate Concerns Complex Problems Infrastructure Technologies What is consumerism?
ebusiness Solutions
ebusiness Solution Elements - Glossary
ebusiness History Lans Wans - Quiz
e-business Technology
e-business Technology - Glossary
OSI model Networking Standards mbone Multicasting
ecommerce Fundamentals
Ecommerce Fundamentals - Glossary
ecommerce Impact Business Models ecommerce Fundamentals - Quiz
ecommerce Site Implementation
ecommerce Site Implementation - Glossary
Ecommerce Storyboard Generate Portal Revenue Server Hardware Quiz  


SEO Mining
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.
Access Programming DistributedNetworks Enterprise Java
Design Patterns Java Certification Object Programming
System Modeling Redhat Linux Certification Database Design
Website Planning Search Technologies SQL Server Databases