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  2. Data blending - Wikipedia

    en.wikipedia.org/wiki/Data_blending

    In tableau software, data blending is a technique to combine data from multiple data sources in the data visualization. [17] A key differentiator is the granularity of the data join. When blending data into a single data set, this would use a SQL database join, which would usually join at the most granular level, using an ID field where ...

  3. Data fusion - Wikipedia

    en.wikipedia.org/wiki/Data_fusion

    A simplified example of this process is shown below where data set "α" is fused with data set β to form the fused data set δ. Data points in set "α" have spatial coordinates X and Y and attributes A1 and A2. Data points in set β have spatial coordinates X and Y and attributes B1 and B2. The fused data set contains all points and attributes.

  4. Data integration - Wikipedia

    en.wikipedia.org/wiki/Data_integration

    Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).

  5. Record linkage - Wikipedia

    en.wikipedia.org/wiki/Record_linkage

    Record linkage is important to social history research since most data sets, such as census records and parish registers were recorded long before the invention of National identification numbers. When old sources are digitized, linking of data sets is a prerequisite for longitudinal study. This process is often further complicated by lack of ...

  6. Random forest - Wikipedia

    en.wikipedia.org/wiki/Random_forest

    Illustration of training a Random Forest model. The training dataset (in this case, of 250 rows and 100 columns) is randomly sampled with replacement n times. Then, a decision tree is trained on each sample.

  7. Ensemble learning - Wikipedia

    en.wikipedia.org/wiki/Ensemble_learning

    Even if this space contains hypotheses that are very well-suited for a particular problem, it may be very difficult to find a good one. Ensembles combine multiple hypotheses to form one which should be theoretically better. Ensemble learning trains two or more machine learning algorithms on a specific classification or regression task. The ...

  8. Disjoint-set data structure - Wikipedia

    en.wikipedia.org/wiki/Disjoint-set_data_structure

    Assume that a node u with rank r has at least 2 r nodes. Then when two trees with rank r are merged using the operation Union by Rank , a tree with rank r + 1 results, the root of which has at least 2 r + 2 r = 2 r + 1 {\displaystyle 2^{r}+2^{r}=2^{r+1}} nodes.

  9. R (programming language) - Wikipedia

    en.wikipedia.org/wiki/R_(programming_language)

    R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.