Data Mining

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Data Mining

The practice of looking for a pattern in a large amount of seemingly random data. Data mining is usually done with a computer program and helps in marketing. That is, a company can look at the (publicly available) purchase patterns of a person or group of persons and determine what products to direct at them.
References in periodicals archive ?
Text Mining Handbook, Louise Francis, FCAS, MAAA, and Matt Flynn, PhD, Casualty Actuarial Society, E-Forum, Spring, 2010
Nstein partners with clients to design a complete online strategy for success using publishing industry best practices for the implementation of its Web Content Management, Digital Asset Management and Text Mining Engine products.
In this article we focus on the areas and methods where text mining potentially enriches biomedical science and thus interdisciplinary connects information technologies with biomedical expert knowledge.
A typical text mining study (by our group), without the literature-based discovery component, includes the following steps:
Milley however was careful to differentiate text mining from products that perform standalone analysis and categorization of documents.
Through text mining, every word in a text document is pre-processed and categorized through a variety of techniques: stemming, creating multiword tokens and feature extraction, to name a few.
0 will collectively mean that NLP-based text mining can be used by more people, more easily and in a more sophisticated and powerful fashion.
Nstein's text mining and information access technology will be used within the broadcaster's current cataloguing processes in conjunction with its voluminous thesauri that include more than 800,000 pre-coordinated terms.
The I2E text mining platform is already recognized as the text mining product of choice in a number of sectors - including pharmaceuticals, biotech, chemistry, healthcare, and government - due to its sophisticated use of proprietary natural language processing based algorithms.
Linguamatics continues its role as a forward-thinking pioneer in the natural language processing (NLP) text mining market, combining its text mining platform together with customer support to offer a deep, hands-on understanding of the pharmaceutical and healthcare industries.
We present an approach towards providing advanced text mining capabilities through web services, using a lately proposed standard for textual data interchange (BioC).
has written this introductory guide to text mining through the use of Perl, an open-source programming tool that can be downloaded from online sources at no cost to the user.