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  2. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    t. e. Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. [1] Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from ...

  3. Cross-industry standard process for data mining - Wikipedia

    en.wikipedia.org/wiki/Cross-industry_standard...

    The only other data mining approach named in these polls was SEMMA. However, SAS Institute clearly states that SEMMA is not a data mining methodology, but rather a "logical organization of the functional toolset of SAS Enterprise Miner." A review and critique of data mining process models in 2009 called the CRISP-DM the "de facto standard for ...

  4. Management Data Input/Output - Wikipedia

    en.wikipedia.org/wiki/Management_Data_Input/Output

    Management Data Input/Output ( MDIO ), also known as Serial Management Interface ( SMI) or Media Independent Interface Management ( MIIM ), is a serial bus defined for the Ethernet family of IEEE 802.3 standards for the Media Independent Interface, or MII. The MII connects media access control (MAC) devices with Ethernet physical layer (PHY ...

  5. SEMMA - Wikipedia

    en.wikipedia.org/wiki/SEMMA

    SEMMA is an acronym that stands for Sample, Explore, Modify, Model, and Assess. It is a list of sequential steps developed by SAS Institute, one of the largest producers of statistics and business intelligence software. It guides the implementation of data mining applications. [1] Although SEMMA is often considered to be a general data mining ...

  6. Rexer's Annual Data Miner Survey - Wikipedia

    en.wikipedia.org/wiki/Rexer's_Annual_Data_Miner...

    Rexer Analytics’s Annual Data Miner Survey is the largest survey of data mining, data science, and analytics professionals in the industry. It consists of approximately 50 multiple choice and open-ended questions that cover seven general areas of data mining science and practice: (1) Field and goals, (2) Algorithms, (3) Models, (4) Tools (software packages used), (5) Technology, (6 ...

  7. Dataminr - Wikipedia

    en.wikipedia.org/wiki/Dataminr

    dataminr .com. Dataminr is an artificial intelligence company. The company's private sector product, Dataminr Pulse, is used by corporations to monitor real-time events, and to aid with crisis response by providing playbooks, messaging tools and post-event documentation. [1] Dataminr's First Alert technology is used by first responders, such as ...

  8. AMiner (database) - Wikipedia

    en.wikipedia.org/wiki/AMiner_(database)

    AMiner (ArnetMiner) is designed to search and perform data mining operations against academic publications on the Internet, using social network analysis to identify connections between researchers, conferences, and publications. [1] This allows it to provide services such as expert finding, geographic search, trend analysis, reviewer ...

  9. Examples of data mining - Wikipedia

    en.wikipedia.org/wiki/Examples_of_data_mining

    In business, data mining is the analysis of historical business activities, stored as static data in data warehouse databases. The goal is to reveal hidden patterns and trends. Data mining software uses advanced pattern recognition algorithms to sift through large amounts of data to assist in discovering previously unknown strategic business ...

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