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In today’s
world, data mining is moving extremely fast with success. With the help of data
mining technique, the information can be transferred to the user end according
to their requirements. The data may contain large files, videos, images and
other multimedia files are increasing in the web. This is used to extract
useful data from the web related links. This can be used to gather the required
information from the internet. There are basically three different ways to use
data mining as a useful technique. In this essay, there is some valuable
information related to different data mining techniques around us. Then after
this, there is some discussion related to tools and its applications.
Subcategories of data of Mining techniques and tools
These categories
are explained in the given section
Web content of Mining techniques and tools
It is the way
to extract useful information from different web pages and documents. These
documents include images or other multimedia documents. The main aim of web
content mining is to improve the quality of web pages by introducing different
links. It also includes proper data from web pages also find any similarity and
integrate data in a proper way to increase knowledge. There some important and
valuable techniques of web content mining that include
Unstructured text data of Mining techniques and tools
It can be seen
that many web pages that are present on the net are in the form of text. But in
the case of content mining, there is a requirement of data and text mining. These
type of data mining technique, also called knowledge. There are different
techniques that are used text mining like extraction of information from text,
track topic, summarized the main text, make a proper category of text, text
data clustering, and visualize information.
Structured of Mining techniques and tools
The structured data is involved in represent host pages on the web. It is easier to extract data from the web as compared to unstructured texts. There are different valuable techniques used for structured data like web Crawler, page content mining and wrapper generation.
Semi-structured text of Mining techniques and tools
In this, there are different structured tables present that are giving information about the real and complex world by not sending this expression to the writer. The best example of this technique is HTML, and it is also a special case. There are different techniques of this type like Object Exchange model, Web data extraction language, and top-down extraction
Multimedia mining of techniques and tools
This is one of the most interesting techniques of web content mining because, through this, the user is able to find best patterns from media data like images, video, text, audio. With the help of this technique, it will become extremely easy to improve decision making by describing different patterns. It also provides some image processing, audio and video processing techniques for the user. There are some other techniques of data mining that are the detection of the shot boundary, Multimedia Miner, SKI, and matching of the color histogram.
Web Structure of Mining techniques and tools
With the help
of web structure mining, the information for the web is extracted in the form
of structure. In this type of mining, there are different structure links
present through these the information can be extracted easily. These links are
arranged in the form of structure that contains similar and different
information around the web. This can be done through research at hyperlink
level through all web links are arranged in the structured form. They are also
called a link structured mostly present with or without links.
For categorizing different web pages Markov
chain model is used, also through this useful information from other web pages
can be extracted like similarity and web pages relationship. The links are
arranged in the form of tree link structure that is connected with one and
another and contains all required information. Through these models, it will
become easy to calculate the quality rank of different web pages easily. It can
be seen that the main aim of this mining is to extract the unknown relationship
between different web pages. This also provides useful links, that can be used
to get information for business, and it will become easy to cluster information
in the form of maps.
This is also called as web log mining; the reason is that through this it will become easy to analyze the behaviour of website users. Through the help of this technique, it will become extremely easy to predict the behaviour of the user that are using different web pages. With the help of different web servers, the information can be gathered easily without any difficulty. There are 4 types of web servers that include client level collection, server-level collection, browser level, and proxy level collection. There are four main stages that include a collection of data, preprocessing, the discovery of pattern and also its analysis
Web content mining tools
There are
different tools that are used in web content mining and through this, it will
become extremely easy to extract data arrange in table form. These tools are
given below
Web info extractor of Web content mining tools
This tool is
one of the best for mining unstructured and structured data from different web
pages in no time. Through this, it is also possible to extract web content that
is present in the form of text and monitor text update on web pages.
Mozenda
of Web content mining
tools
Through the
help of this tool, web data can be extracted easily. The user can also arrange
this data with proper information. There are some important features of Mozenda
that include logins, AJAX, paging and frames from different website. This data
can be extracted easily by online
Screen Scraper of Web content mining tools
This tool is
involved in mining the web content like a searching database for achieving the
main requirements if mining. This tool is one of the widely used for data
mining from different databases. There are some improvements that have been
done in this tool; through this, it will become more powerful and reliable for
data mining process. This latest improvement in this tool provide important information
in the form of HTML. This means that it will become extremely easy to access a web
page with any browser
Automation
Anywhere 7 of
Web content mining tools
This is also the
best tool for data mining, through this data can be extracted from anywhere
around the web, and this can be used for web mining.
Applications of web mining
Google search engine of Applications of web mining Applications of web mining
Google search engine of Applications of web mining
it can be seen
that this search engine is widely used around the world. This is involved in
providing important information to the users in the form of webpages, images,
text and videos. This was the first search engine that was involved in
providing a link to the user to excess different websites easily. This engine
is also providing another service that is also called Google toolbar. They are
improving this search engine on a daily basis for providing useful web engine
services to the users
It is one of
the emerging application of web data mining. The main aim of this is to extract
the data of an individual in a proper way like its lifestyle, habits and another
thing. This technology is improving day by day for the users.
Understanding of different Web Communities of Applications of web mining
It is involved
in making a loyal customer base that is collecting information about the interest
of customers. Through this, it will become easy to apply this technique to
extract data from any community.
eBay of Applications of web mining
This technology
is involved in helping users in doing a different type of shopping, like
auctions. The biding data is storing data through data mining technique and
helping them to improve the user experience for the future. Through eBay, it
will become easy to use gambling without going to casinos.
V-Tag
web mining technologies of Applications of web mining
Conclusion
on Applications of web mining
Summing up all
the discussion from above, it is concluded that web data mining techniques are
widely used for extracting data from the internet. With the help of data mining
technique, the information can be transferred to the user end according to
their requirements. The main aim of web content mining is to improve the
quality of web pages by introducing different links. The structured data is
involved in represent host pages on the web. With the help of this technique,
it will become extremely easy to improve decision making by describing
different patterns. For categorizing different web pages Markov chain model is
used, also through this useful information from other web pages can be extracted
like similarity and web pages
Bhavani Thuraisingham, L. K. M. A. L. W., 2009. Design and Implementation of Data Mining
Tools. s.l.:CRC Press.
Simeon Simoff, M. H. B. A. M., 2008. Visual Data Mining: Theory, Techniques and Tools for Visual Analytics. s.l.:Springer.
Tom Soukup, I. D., 2002. Visual
Data Mining: Techniques and Tools for Data Visualization and Mining. s.l.:John
Wiley & Sons.
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