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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.
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.
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:
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
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.
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.
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.
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