Data mining could be confused with data extraction but in fact the two are different processes. Data extraction is the first step to data mining. Data mining is actually analysis of data compiled from vast online or other sources.

1. Data mining could be confused with
data extraction but in fact the two are
different processes. Data extraction is
the first step to data mining. Data
mining is actually analysis of data
compiled from vast online or other
sources. Mining is an important
activity for market research firms in
their bid to come up with predictive
analysis and thus leverage the power
of data they extract from websites.
For this process to be meaningful it is
necessary to first gather voluminous
data from as many different sources
as possible and then structure it in a
form that makes it easy to carry out
analysis.

2. The two biggest hurdles are gathering
and structuring data, without which it
is not possible to process, transform,
analyze, interpret or evaluate it. This
is a sophisticated process calling for
quite some skills and knowledge. Such
professionals rarely have the patience
or the time to go about gathering data
they can use as input or set about
structuring whatever data is presented
to them. There are online services that
fill this void and offer specific data
that mining experts can use but their
services are expensive and are limited.
If market research is a continuous
process then the cost becomes
unaffordable over time.

3. A fine solution for such situations is for data mining companies to use web
extractor online, an application that does everything they expect by way of
gathering and preparing data seamlessly in the background. A full-featured
program is automated with these features:

4. A simple user interface and extended menu plus command line options where
users can specify exact filters such as levels to dig down into, modify with
Boolean operators and specify horizontal or vertical crawling order.
Facility to export data exactly into the format that can be used straightaway for
analysis purposes, in formats such as .csv, .txt, HTML, XML, SQL script,
MySQL script, any ODBC data source or plain Access database that can be
uploaded to an FTP server if required.
Automatic multi-threaded downloading
Facility to use a template and also create templates for future use
Schedule downloads.
Use proxy servers and rotating IP addresses for anonymity
Dig in to password protected sites and even access data created dynamically

5. The benefits to data mining companies
are obvious:
They need not engage any trained team
of people to gather data and then
structure it; the online web extractor
does it all.
The application improves productivity
and efficiency while reducing costs
Since it gets huge amounts of data that
would normally have been difficult to
gather with manual methods, it also
helps them achieve better predictive and
analytical results.

6. The most suitable application for web data extraction online is one that can be
installed on a desktop, costs less and gives predictable results data mining companies
can take as the basis for further research.

7. Contact:-
http://www.webcontentextractor.com/
Email Id:
newprosoft.service@gmail.com
https://www.facebook.com/WebContentExtrac
tor
https://twitter.com/webdataextrac
The most suitable application for web data extraction online is one that can be
installed on a desktop, costs less and gives predictable results data mining companies
can take as the basis for further research.