Data mining notes

  • Data mining techniques

    Definition: In simple words, data mining is defined as a process used to extract usable data from a larger set of any raw data.
    It implies analysing data patterns in large batches of data using one or more software.
    Data mining has applications in multiple fields, like science and research..

  • Fundamentals of data mining

    Concept Description is a definitive type of data mining.
    It defines a set of data including frequent buyers, graduate candidates, etc.
    It describes the characterization and comparison of the data.
    It is also known as a class description when the concept to be described is defined as a class of objects..

  • Fundamentals of data mining

    Data mining typically uses four techniques to create descriptive and predictive power: regression, association rule discovery, classification and clustering..

  • What is data mining basics?

    Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis.
    Data mining techniques and tools enable enterprises to predict future trends and make more-informed business decisions..

Presentation and visualization of data mining results. - Once the patterns are discovered it needs to be expressed in high level languages, visual 
Data mining is the process of searching and analyzing a large batch of raw data in order to identify patterns and

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