Data mining and data warehousing notes for mca

  • Data Warehousing and data Mining book

    The data mining process relies on the data warehousing process.
    The major difference between data warehousing and data mining is that data warehousing is a technique to compile information inside the data warehouse and data mining is used for the extraction of the data..

  • What is data warehouse in MCA?

    A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics.
    Data warehouses are solely intended to perform queries and analysis and often contain large amounts of historical data..

What do you learn in a data mining course?

Understand the fundamental processes, concepts and techniques of data mining and develop an appreciation for the inherent complexity of the data-mining task

Characterize the kinds of patterns that can be discovered by association rule mining

Evaluate methodological issues underlying the effective application of data mining

What is a data mining component?

In addition, this component allows the user to browse database and data warehouse schemas or data structures,evaluate mined patterns, and visualize the patterns in different forms

Data Mining is a process of discovering various models, summaries, and derived values from a given collection of data

1

State the problem and formulate the hypothesis


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