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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... 

  • 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... 

  • rabbit hole

    A rabbit hole, in a metaphorical sense, is a long and winding exploratory path with many connections and offshoots. The term comes from Lewis Carroll's "Alice's Adventures in Wonderland." The protagonist in that book, Alice, falls down a rabbit hole ... 

  • incidence

    Incidence, in statistics, is the rate of occurrence of something within a population, or the number of times it occurs. The rate of incidence is usually expressed as a fraction, for example, 48 cases of measles out of a population of 750. It may also... 

  • advanced analytics

    Advanced analytics refers to future-oriented analyses that can be used to help drive changes and improvements in business practices. 

  • in-memory analytics

    In-memory analytics queries data residing in a computer’s random access memory (RAM) rather than data stored on physical disks.  

  • 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 ... 

  • data-driven decision management (DDDM)

    Data-driven decision management (DDDM) is an approach to business governance that values decisions that can be backed up with data that can be verified. The success of a data-driven approach is reliant upon the quality of the data gathered and the ef... 

  • 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. 

  • 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... 

  • 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... 

  • 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... 

  • 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.