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  2. Data preprocessing - Wikipedia

    en.wikipedia.org/wiki/Data_Preprocessing

    Semantic data mining is a subset of data mining that specifically seeks to incorporate domain knowledge, such as formal semantics, into the data mining process.Domain knowledge is the knowledge of the environment the data was processed in. Domain knowledge can have a positive influence on many aspects of data mining, such as filtering out redundant or inconsistent data during the preprocessing ...

  3. Data preparation - Wikipedia

    en.wikipedia.org/wiki/Data_preparation

    Given the variety of data sources (e.g. databases, business applications) that provide data and formats that data can arrive in, data preparation can be quite involved and complex. There are many tools and technologies [5] that are used for data preparation. The cost of cleaning the data should always be balanced against the value of the ...

  4. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    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 as additional steps. The difference between data analysis and data mining is that data analysis is used to test models and hypotheses on the dataset, e.g., analyzing the ...

  5. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    Extract, transform, load (ETL) is a three-phase computing process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collected from one or more sources and it can also be output to one or more destinations.

  6. Data transformation (computing) - Wikipedia

    en.wikipedia.org/wiki/Data_transformation...

    Data discovery is the first step in the data transformation process. Typically the data is profiled using profiling tools or sometimes using manually written profiling scripts to better understand the structure and characteristics of the data and decide how it needs to be transformed.

  7. Preprocessor - Wikipedia

    en.wikipedia.org/wiki/Preprocessor

    Most preprocessors are specific to a particular data processing task (e.g., compiling the C language). A preprocessor may be promoted as being general purpose , meaning that it is not aimed at a specific usage or programming language, and is intended to be used for a wide variety of text processing tasks.

  8. Digital image processing - Wikipedia

    en.wikipedia.org/wiki/Digital_image_processing

    The generation and development of digital image processing are mainly affected by three factors: first, the development of computers; [3] second, the development of mathematics (especially the creation and improvement of discrete mathematics theory); [4] and third, the demand for a wide range of applications in environment, agriculture ...

  9. Database testing - Wikipedia

    en.wikipedia.org/wiki/Database_testing

    Data load testing: For data load testing, knowledge about source database and destination database is required. Workers check the compatibility between source database and destination database using the DTS package. When updating the source database, workers make sure to compare it with the target database.