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Mind map

Chapter 2

Karl Taylor Computing Science AS - Level English

Mind map on backtracking, data mining, pipelining, abstraction and caching: algorithms, databases and RISC

Mind map: backtracking, data mining, pipelining, abstraction and caching

Map content

Chapter 2

  1. Back Tracking

    • An algorithmic approach to a problem where partial solutions to a large problem are incrementally built up as a pathway to follow, and then, if the pathway fails at some point, the partial solutions are abandoned and the search begins again at the last potentially succesful point.
    • Well-known strategy for solving logic problems
  2. Data Mining

    • The practice of examining large pre-existing databases in order to generate new information.
    • Useful way to search for relationships
    • A process for trawling through lots of data that probably comes from many sources
  3. Pipelining

    • Is a situation where the output of one process is the input to another
    • Useful in RISC processors
  4. Abstraction

    • A concept of reality that commonly makes use of symbols to represent components of a problem so that the human mind or a computing agent can process the problem
    • Is about teasing out what does and what does not matter in a scenario
  5. Caching

    • In caching, data that is input might be stored in RAM in case it is needed again before the process is shut down
      • If it is required, it does not need to be read in again from disk, thereby giving a faster responce time

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Elements of Computational thinking
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Karl Taylor
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