Business intelligence data mining

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  • How a powerful business analytics strategy can raise ethical issues

    "Now that technical advancements have eased so many constraints and eliminated so many barriers for users, the question of how to accomplish something with technology is being replaced by this: “What do we do with all that power?” One area that’s pa...  E-Zine

  • Benefits of using a data sandbox

    Organizations are carving out small slices of their DWs and databases where scientists and analysts can manipulate and analyze data sets. The intent of the data sandbox is to separate experimentation from the production database environment. Read thi...  E-Zine

  • correlation

    Correlation is a statistical measure that indicates the extent to which two or more variables fluctuate together. A positive correlation indicates the extent to which those variables increase or decrease in parallel; a negative correlation indicates ...  Definition

  • data-driven decision management (DDDM)

    Data-driven decision management (DDDM) is an approach to business governance that focuses on gathering data and analyzing it to guide corporate decisions and policies. The data-driven approach is gaining popularity within the enterprise as the amount...  Definition

  • General Architecture for Text Engineering (GATE)

    General Architecture for Text Engineering (GATE) is a development environment for writing software that can process human-language text. In particular, GATE is used for computational language processing and text mining.  Definition

  • box plot

    A box plot is a graphical rendition of statistical data based on the minimum, first quartile, median, third quartile, and maximum. The term "box plot" comes from the fact that the graph looks like a rectangle with lines extending from the top and bot...  Definition

  • law of large numbers

    The law of large numbers is a principle of probability according to which the frequencies of events with the same likelihood of occurrence even out, given enough trials or instances. As the number of experiments increases, the actual ratio of outcome...  Definition

  • law of averages

    The law of averages is an erroneous generalization of the law of large numbers, which states that the frequencies of events with the same likelihood of occurrence even out, given enough trials or instances. The law of averages is usually mentioned in...  Definition

  • data science

    Data science is the study of where information comes from, what it represents and how it can be turned into a valuable resource in the creation of business and IT strategies.  Definition

  • descriptive modeling

    Descriptive modeling is a mathematical process that describes real-world events and the relationships between factors responsible for them.  Definition

  • big data analytics

    Big data analytics is the process of examining large amounts of different data types, or big data, in an effort to uncover hidden patterns, unknown correlations and other useful information.  Definition

  • data scientist

    A data scientist is a job title for an employee or business intelligence (BI) consultant who excels at analyzing data, particularly large amounts of data, to help a business gain a competitive edge.    Definition

  • See more Definitions on Business intelligence data mining
About Business intelligence data mining

Data mining has many benefits but is a complex discipline that's constantly evolving. Stay up to date on the data mining market with articles about data mining and business intelligence news, trends, research and software. Get an introduction to data mining and learn about predictive data mining and other data mining concepts and methods, plus learn how to successfully evaluate and deploy data mining software tools, solutions, technology and reports. Check out exclusive data mining case studies addressing a variety of industries and business problems, such as medical data mining and CRM data mining. Read examples of business intelligence and data mining best practices and successful tools and techniques, and stay on top of new data mining technology and terms, such as machine learning, data mining visualization, data mining clustering and neural networks data mining.

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