Data Reduction Technique

Data Reduction Technique is a process of reducing the volume of data by obtaining a reduced representation of the original data that is much smaller in quantity but still contains much of the important information. This technique is used to simplify the data and make it more manageable for analysis. Data reduction techniques can be applied to both structured and unstructured data. The process of data reduction involves selecting, transforming, and encoding the data. The selected data is transformed into a smaller set of variables that still retain the important information. Encoding techniques are then used to represent the data in a compressed form. Data reduction techniques are commonly used in machine learning, data mining, and statistical analysis.

Your Previous Searches

Random Picks

Electronic Devices: Electronic devices refer to any device that uses electricity to perform its intended function. In the context of data science and artificial intelligence, electronic devices are essential tools for collecting, processing, and analyzing data ... Read More >>
Seasonal Pattern: Seasonal pattern refers to a predictable fluctuation in a time series that recurs or repeats over a one-year period or less. It is a type of pattern that occurs regularly within a specific time frame, such as a day, week, month, or quarter. ... Read More >>
Central Processing Unit: The Central Processing Unit (CPU) is the primary component of a computer system that performs most of the processing tasks. It is responsible for executing instructions of a computer program by performing arithmetic, logical, and input/outp ... Read More >>

Data Reduction Technique

Your Previous Searches

Random Picks

Top News

Employees were already freaked out about AI — Amazon just proved them right...

Trump’s purges come for the U.S.’ nuclear safety board...

Amazon says it will reduce its workforce as AI replaces human employees | CNN Bu...

Amazon’s Jassy says AI will reduce company’s corporate ranks...

Bank of America is bullish on these 4 under-the-radar AI stocks...