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R Recipes pp 215-236 | Cite as

Mining the Gold in Data and Text

  • Larry A. Pace
Chapter

Abstract

Part of the Big Data revolution is the rapid growth of text and unstructured data. Instead of retrieving information as we would from a structured dataset or a known set of search terms, text and data mining are concerned with extracting information, which is fundamentally different. Each of us is bombarded with information every day, much of it in numeric form, but the majority in text form. Mining the “gold” from data and text has become a very important task and a very big business. We can see an evolution of information from data to information to knowledge to intelligence. Organizations need ways to find and leverage the valuable intelligence in vast and unorganized collections of data and text, and that is what we will talk about in this chapter.

Keywords

Principal Component Analysis Data Mining Association Rule Natural Language Processing Text Mining 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Larry A. Pace 2014

Authors and Affiliations

  • Larry A. Pace
    • 1
  1. 1.SCUnites States

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