enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Examples of data mining - Wikipedia

    en.wikipedia.org/wiki/Examples_of_data_mining

    An example of data mining related to an integrated-circuit (IC) production line is described in the paper "Mining IC Test Data to Optimize VLSI Testing." [12] In this paper, the application of data mining and decision analysis to the problem of die-level functional testing is described. Experiments mentioned demonstrate the ability to apply a ...

  3. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    For example, the data mining step might identify multiple groups in the data, which can then be used to obtain more accurate prediction results by a decision support system. Neither the data collection, data preparation, nor result interpretation and reporting is part of the data mining step, although they do belong to the overall KDD process ...

  4. List of crowdsourcing projects - Wikipedia

    en.wikipedia.org/wiki/List_of_crowdsourcing_projects

    The Tokyo Times referred to J Rice's subsequently produced "We Pray for You" video, involving largely the same participants as were in Lavie's video, as an example of a trend to use crowdsourcing for charitable purposes. [129] Wikipedia is often cited as a successful example of crowdsourcing, [130] despite objections by co-founder Jimmy Wales ...

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

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

    A review and critique of data mining process models in 2009 called the CRISP-DM the "de facto standard for developing data mining and knowledge discovery projects." [ 16 ] Other reviews of CRISP-DM and data mining process models include Kurgan and Musilek's 2006 review, [ 8 ] and Azevedo and Santos' 2008 comparison of CRISP-DM and SEMMA. [ 9 ]

  6. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

  7. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Data are ordered, timestamped, single-valued metrics. All data files contain anomalies, unless otherwise noted. None 50+ files CSV Anomaly detection: 2016 (continually updated) [328] Numenta Skoltech Anomaly Benchmark (SKAB) Each file represents a single experiment and contains a single anomaly.

  8. Mary Sue Coleman - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/mary-sue-coleman

    From January 2008 to December 2012, if you bought shares in companies when Mary Sue Coleman joined the board, and sold them when she left, you would have a 5.3 percent return on your investment, compared to a -2.8 percent return from the S&P 500.

  9. Association rule learning - Wikipedia

    en.wikipedia.org/wiki/Association_rule_learning

    For example, the rule {,} {} found in the sales data of a supermarket would indicate that if a customer buys onions and potatoes together, they are likely to also buy hamburger meat. Such information can be used as the basis for decisions about marketing activities such as, e.g., promotional pricing or product placements .