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What Do You Know About Data Mining? - Part 1?

Get a clear answer to What Do You Know About Data Mining? - Part 1, with essential facts, practical context, and useful takeaways.

Table of Contents

This article gives a clear answer about What Do You Know About Data Mining? - Part 1. It explains the main idea, practical context, and details that help readers understand the subject.

Understanding What Do You Know About Data Mining?

  • Question 1: ________ is a loss-free, historical, subject-oriented, comprehensive, data-driven set of data for managing, providing information in a timely, accurate, and Time is the foundation for building data analysis applications, supporting organizational decision making.
    • Data structure - Data structure
    • Data warehouse - Data warehouse
    • Data base - Database
    • Data analytics - Data analysis
  • Question 2: Which technique is OLAP abbreviated?
    • Online Advanced Program
    • Online Analytical Program
    • Online Advanced Processing
    • Online Analytical Processing
    Online Analytical Processing - Processing online data analysis.
  • Question 3: OLTP is the abbreviation of any technique?
    • Online Transaction Processing
    • Online Transaction Program
    • Oracle Transaction Processing
    • Online Terminal Processing
  • Question 4: In data mining, slice operation (slice) helps users analyze data in several dimensions?
    • One-way.
    • Two-way.
    • Multi-dimensional depending on user requirements.
    • There is no right answer.
  • Question 5: In data mining, block cutting operation (dice) helps users analyze data on several dimensions?
    • One-way.
    • Two-dimensional right.
    • Two-way or more.
    • There is no right answer.
  • Question 6: How long does it take to expect Data warehouse to use?
    • 1-2 years
    • 3-4 years
    • 5-6 years
    • 5-10 years
  • Question 7: ________ predicts future trends and behaviors, assisting managers to make decisions that affect business operations.
    • Data warehouse - Data warehouse
    • Data mining - Data mining
    • Datamart - Local data warehouse
    • Metadata - Metadata
  • Question 8: Data in the Data Warehouse is ________ data.
    • Just read.
    • Edit only by overwriting old content.
    • Only edit by writing to the old content.
    • Read only and edit
  • Question 9: DSS is the abbreviation of any system in Data Warehouse?
    • Decision Support System.
    • Decision Single System.
    • Data Storable System.
    • Data Support System.
    Decision Support System - Decision support system.
  • Question 10: What are the basic characteristics of Data warehouse?
    • Subject-oriented (subject-oriented).
    • Integrity (Integrated).
    • Immutability (Nonvolatile).
    • All the answers above.
  • Question 11: Choose the correct answer:Select and explain the data mining function.
    • It's correct
    • False
  • Question 12: Data is stored, retrieved and updated in ________.
    • OLAP
    • OLTP
    • SMTP
    • FTP
  • Question 13: ________ describe the data contained in the Data Warehouse - Data Warehouse.
    • Relational data - Relational data
    • Operational data - Operational data
    • Metadata - Metadata
    • Informational data - Informational data
  • Question 14: Record, data cannot be updated in ________.
    • OLTP
    • File
    • RDBMS
    • Data Warehouse
  • Question 15: ________ is the bridge between data warehouse and decision support application.
    • Logical data - Logical data
    • Complex data - Complex data
    • Nominal data - Nominal data
    • Metadata - Metadata

FAQ

What is the main point of What Do You Know About Data Mining? - Part 1?

Question 1: ________ is a loss-free, historical, subject-oriented, comprehensive, data-driven set of data for managing, providing information in a timely, accurate, and Time is the foundation for building data analysis applications, supporting organizational decision making.

Why is What Do You Know About Data Mining? - Part 1 important?

What Do You Know About Data Mining? - Part 1 matters because it can affect how readers understand, choose, use, or respond to the subject discussed in the article.

What should readers verify about What Do You Know About Data Mining? - Part 1?

Check the date, product or software version, compatibility, and any current guidance before acting, especially when technology, security, health, or pricing is involved.

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