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 ?
Therefore, in this research, we proposes a practical text mining methodology for the science and technology trend analysis, and conducts mining tasks such as making an ontology, topic analysis, and network relationship analysis.
Text mining aims to extract the meaning, concepts, relationship of concepts, hidden patterns and text indexing from the targeted datasets and present them in the user understandable form of facts and knowledge [2].
That bodes very well for the future of text mining, including new algorithms, new techniques, better user interface design, more compelling examples of use, and so on.
There are seven specialties within text mining that have different objectives.
Although setting up a text mining system can be challenging given the unstructured flow, typos, and abbreviations in adjuster notes, the eventual business results are well worth the effort.
Divided into three sections covering terrorism and the web, content mining and open source intelligence, and data and text mining for security, individual articles cover such topics as the world financial crisis and its influence on terrorist financing, threat early warning through web mining, investigation of web-based hidden data, fuzzy logic based approaches to flexible database querying and language-independent techniques for automated text summarization.
Text mining techniques for healthcare provider quality determination; methods for rank comparisons.
based magazine printer Publishers Press signed an OEM agreement for the Atex Polopoly Web content management system and Atex Text Mining engine for delivery to its 500 customers and 1,200 titles under a Software as a Service (SaaS) model.
It is essential to develop a system that is able to perform text mining on these publications and extract hypotheses and experimental results for interested parties.
Text mining is now being used to analyze large scholarly information collections, according to Clifford Lynch, executive director of the Coalition for Networked Information.
As is the case with machine translation and search, the early work on text mining dates back several decades, though most of the action has been hidden behind an NSA security blanket.