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Often while discussing technologies we use many terms as synonyms, in reality, many such terminologies have different meaning. This page briefs about three such terminologies that are commonly referred in the world of business intelligence:
- Data warehouse (DW)
- Data warehousing (DWH)
- Enterprise Data warehouse (EDW)
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Text mining is a technique used for the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources.
However, text mining is not same as data mining. There is a significant differnce between data mining and text mining.
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The differences mentioned below are generic ones. At some places the corresponding version of the software is mentioned, which means it might be applicable to only that version. However, please be advised that with release of new version of the software some of the features and behaviours go for a change.
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Text analytics applications are an important part of corporate efforts to reduce information glut and increase "find-ability" and are becoming a permanent part of the information processing landscape. The term text analytics describes a set of linguistic, lexical, pattern recognition, extraction, tagging/structuring, visualization, and predictive techniques. The term also describes processes that apply these techniques, whether independently or in conjunction with query and analysis of fielded, numerical data, to solve business problems.
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A DNA microarray is a multiplex technology used in molecular biology and in medicine. It consists of an arrayed series of thousands of microscopic spots of DNA oligonucleotides, called features, each containing picomoles of a specific DNA sequence. Microarray data was found to be more useful when compared to other similar datasets. The sheer volume (in bytes), specialized formats (such as MIAME), and curation efforts associated with the datasets require specialized databases to store the data.
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Data mining enables people to discover unanticipated information on an unaided basis. This is information they can act on to better understand, selectively market to and retain their best customers, or sharply cut consumer fraud. In a way, true data mining means finding and implementing the powerful tools to search your databases, in their entirety, for the very patterns you didn't know where there -- the patterns you didn't even think of asking about. The real power of true data mining has the capacity to amaze the most skeptical executive.
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