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What is data mining?
What is data mining?
- The generation of TB of data by mobile devices
- The use of efficient techniques for the analysis of very large collections of data (correct)
- The process of extracting data from the internet
- The storage of raw data in digital form
Why is data mining needed?
Why is data mining needed?
- To analyze really huge amounts of raw data generated in the digital age (correct)
- To store TB of data generated by mobile devices
- To monitor social media updates and blogs
- To maintain digital photographs and web documents
What contributes to the need for data mining?
What contributes to the need for data mining?
- The generation of TB of data by mobile devices
- The availability of cheap storage for data (correct)
- The storage of raw data in digital form
- The process of extracting data from the internet
What is the tentative definition of data mining?
What is the tentative definition of data mining?
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What type of data is involved in data mining?
What type of data is involved in data mining?
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Study Notes
What is Data Mining?
- Data mining is the process of automatically discovering patterns, relationships, and insights from large datasets, often involving databases and data warehouses.
Need for Data Mining
- Data mining is necessary because of the enormous amount of data being generated every day, making it difficult for humans to manually extract valuable insights.
- It helps organizations make informed decisions, identify new business opportunities, and optimize their operations.
Factors Contributing to the Need for Data Mining
- The rapid growth of data due to the widespread use of technology, social media, and the internet.
- The complexity of data, making it difficult to analyze and interpret manually.
- The need for businesses to remain competitive and make data-driven decisions.
Definition of Data Mining
- Data mining is often referred to as Knowledge Discovery in Databases (KDD), which involves identifying valid, novel, useful, and understandable patterns in data.
Type of Data Involved
- Data mining involves various types of data, including transactional data, relational data, time-series data, spatial data, and multimedia data.
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