In the business world, structure mining can be quite useful in determining the connection between two or more business Web sites.
This allows accounting, customer profile, inventory, and demographic information to be correlated with Web browsing.
Retrieving knowledge from World Wide Web is a tedious task because of the growth in the availability of information resources on it.
So this escalates the necessity to employ an intelligent system to retrieve the knowledge from World Wide Web.
This on the other hand brings about problems that can be resolved using an intelligent system which can effectively mine for knowledge.
When it comes to analysis, web mining takes it much further by combining other corporate information with web traffic data.
The company can identify the strength and weakness of its web marketing campaign through Web Mining, and then make strategic adjustments, obtain the feedback from Web Mining again to see the improvement.
Search engine Google provides advanced and efficient searching capabilities.
Web Data Mining and Business Intelligence Research Project E-Commerce Technology 584De Paul University Chicago, Illinois 60604ABSTRACTDeep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms.
Learning can be supervised, semi-supervised or unsupervised.