Web Mining
With the bang of information technology era, we have signed a sea of information. The explosion of information is heavily based on the Internet; which has been one of universal information infrastructure.
Data mining, text mining and web, involving a variety of techniques and procedures to retrieve relevant information from large databases, so that companies can take better business decisions with precision, then, data mining, text mining and web mining helps a lot in the promotion of purpose ” customer relationship management ‘; the main purpose is to initiate, expand, and personalized relationships with customers and customer profiles categorization.
However, there are number of things that must be addressed when dealing with web mining process. Personal data can be said to be the trigger-button issue. More recently, complaints of violations of privacy and concerns have risen significantly, as traders, companies and governments continue to collect and warehouse large amounts of personal information.
There are also other problems faced by data mining. ‘Erroneousness Information’ can bring us to the analysis of vague and incorrect results and recommendations. Submission of Customers’ data is incorrect or false information during the data import procedure that creates a real danger to the efficiency and effectiveness of Web mining. Another risk in data mining is that mining may be confused with data warehousing.
Despite the potential obstacles and barriers, the market for web mining is expected to grow by several billion dollars in the coming years. Mining helps to identify and target potential customers, whose information is “buried” in large databases and to strengthen relationships with customers. Data mining tools can predict future market trends and consumer behavior, which potentially can help businesses to take proactive and knowledge-based resolution. This is one reason why data mining is also referred to as ‘Knowledge discovery’.






