Data Mining: Key definitions

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Data Mining: Key definitions

Data Mining: Key definitions

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  • 1. Data miningand key definitions
  • 2. What is Data Mining?
    Data mining is a result of the natural evolution of information technology.
    OLAP and OLTP are applications of data mining.
  • 3. OLAP
    On-line transaction processing (OLTP), is an efficient method , where a query is viewed as a read-only transaction, have contributed substantially to the evolution and wide acceptance of relational technology as a major tool for efficient storage, retrieval, and management of large amounts of data
  • 4. OLTP
    Data warehouse technology includes data cleaning, data integration, and on-line analytical processing (OLAP), that is, analysis techniques with functionalities such as summarization, consolidation, and aggregation as well as the ability to view information from different angles.
  • 5. What Is Data Mining?
    Collect Data
    Remove noise
    Mine and get the portion of interest
    Analyze the data
    Get the required information
    Data Mining = Get Information from data
  • 6. Components of Data mining System
    Data ware house server
    Information repository
    User Interface
    Data mining Engine
    Pattern Evolution
    Knowledge Base
  • 7. What is a Data Ware House?
    A data ware-house is a repository of information collected from multiple sources, stored under a unified schema, and that usually resides at a single site.
  • 8. Advanced Data and Information Systems
    A Transactional database consists of a file where each record represents a transaction.
    Object-relational databases are constructed based on an object-relational data model
    A Temporal database typically stores relational data that include time-related attributes.
  • 9. Advanced Data and Information Systems cont..
    Spatial databases contain spatial-related information. Examples include geographic (map) databases.
    Text databases are databases that contain word descriptions for objects
    A Heterogeneous database consists of a set of interconnected, autonomous component databases.
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