Web mining refers to applying data techniques that discover patterns that are usually on the web. Web mining comes in three different types: content mining, structure mining and usage mining, each and every technique has its significance and roles it will depend on which company someone is.
Web usage mining
Web usage mining mainly deals with what users are mainly searching on the web. It can be either multimedia data or textual data. This process mainly deals with searching and accessing information from the web and putting the information into a one document so that it can be easily be processed.
Web structure mining
Here one uses graphs and by using graphs one can be able to analyze the structure and node of different websites how they are connected to each other. Web structure mining usually comes in two different ways:
One can be able to extract patterns from hyperlinks on different websites.
One can be able to analyze information and page structures which will describe XML and HTML usage. By doing web structure mining one can be able to know more about java script and more basic knowledge about web design.
Advantages
Web mining has many advantages which usually make technology very attractive and many government agencies and corporations use it. Predictive analysis ones does not need a lot of knowledge like in mining. Predictive analytics usually analyze historical facts and current facts about the future events. This type of mining has really helped ecommerce one can be able to do personalize marketing which later yield results in high trade volumes.
Government institutions use mining tools to fight against terrorism and to classify threat. This helps in identifying criminals who are in the country. In most companies is also applicable better services and customer relationship is usually applied it gives them what they need. By doing this companies will be able to understand the needs of customers better and later react to their needs very quickly. By doing this companies will be able to attract and retain customers and also save on production cost and utilize the insight of their customer requirements. They may even find a customer and later provide the customer with promotional offers to the customer so that they can reduce the risk of losing the customer.
Disadvantages
The worst thing that is a threat to mining is invasion of privacy. Privacy in is usually considered lost when documents of one person is obtained, disseminated or used especially when it occurs without the presence of the person who came up with the data itself. Companies collect data for various reasons and purposes. Predictive analytics is usually an area that deals mainly with statistical analysis. Predictive analytics work in different ways deal with extracting information from the data that is being used and it will predict the future trends and the behavior patterns. It is vital for one to note that that accuracy will depend on the level of the business and the data understanding of the personal user.
Source: http://ezinearticles.com/?Web-Mining---Applying-Data-Techniques&id=5054961
Web usage mining
Web usage mining mainly deals with what users are mainly searching on the web. It can be either multimedia data or textual data. This process mainly deals with searching and accessing information from the web and putting the information into a one document so that it can be easily be processed.
Web structure mining
Here one uses graphs and by using graphs one can be able to analyze the structure and node of different websites how they are connected to each other. Web structure mining usually comes in two different ways:
One can be able to extract patterns from hyperlinks on different websites.
One can be able to analyze information and page structures which will describe XML and HTML usage. By doing web structure mining one can be able to know more about java script and more basic knowledge about web design.
Advantages
Web mining has many advantages which usually make technology very attractive and many government agencies and corporations use it. Predictive analysis ones does not need a lot of knowledge like in mining. Predictive analytics usually analyze historical facts and current facts about the future events. This type of mining has really helped ecommerce one can be able to do personalize marketing which later yield results in high trade volumes.
Government institutions use mining tools to fight against terrorism and to classify threat. This helps in identifying criminals who are in the country. In most companies is also applicable better services and customer relationship is usually applied it gives them what they need. By doing this companies will be able to understand the needs of customers better and later react to their needs very quickly. By doing this companies will be able to attract and retain customers and also save on production cost and utilize the insight of their customer requirements. They may even find a customer and later provide the customer with promotional offers to the customer so that they can reduce the risk of losing the customer.
Disadvantages
The worst thing that is a threat to mining is invasion of privacy. Privacy in is usually considered lost when documents of one person is obtained, disseminated or used especially when it occurs without the presence of the person who came up with the data itself. Companies collect data for various reasons and purposes. Predictive analytics is usually an area that deals mainly with statistical analysis. Predictive analytics work in different ways deal with extracting information from the data that is being used and it will predict the future trends and the behavior patterns. It is vital for one to note that that accuracy will depend on the level of the business and the data understanding of the personal user.
Source: http://ezinearticles.com/?Web-Mining---Applying-Data-Techniques&id=5054961
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