SEOMining SEOMining





Welcome to SEOMining!

SEO Mining discusses ebusiness Architecture, ebusiness Architecture Concepts, ebusiness Solutions, ebusiness Technology, ecommerce fundamentals, ecommerce Site Implementation, internet technologies and website deployment.


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 Scope ebusiness Architect - Quiz
Buyer-Aggregator Model Vertical Horizontal B2B-Hub
 

ebusiness Architecture Concepts
ebusiness Architecture Concepts - Glossary
Separate Concerns Complex Problems Infrastructure Technologies What is consumerism? Consumer Expectation - Quiz

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  

Internet Web Development

Internet Web Development - Glossary
Internet, Intranets, Extranets C2C - Consumer to Consumer Sites Infrastructure to Implement ecommerce ecommerce business Sites - Exercise
Internet Web Technologies

Internet Web Technologies - Glossary
Internet Connection Components Purpose of subnetting Subnet Mask Uniform Resource Locator Tcpip Protocol Suite
Network Devices - Quiz
    
Search Engine Optimization

Search Engine Optimization - Glossary
Search Engine Database
 
Search Console
SEO Strategy    
 
Planning Website Deployment
Planning Website Deployment - Glossary
Web Development Process Model Web Development Conclusion Six Phases of Web Development  
Web Interaction Model     
    
Planning Website Design
Planning Website Design - Glossary
Creative Brief Elements Sign Metaphor Requirements Planning Information Architecture - Quiz  
Database Models DB Website Communication   
Website Planning Models
Url Elements Website Development Process Conclusion Key Process Elements Discovery Phase
     
     



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.

Enterprise Java Database Design Java Certification
Object Programming Distributed Networks GofPatterns
SQL Server Databases