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Data Mining: Key definitions

Data Mining: Key definitions



Data Mining: Key definitions

Data Mining: Key definitions



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    Data Mining: Key definitions Data Mining: Key definitions Presentation Transcript

    • Data miningand key definitions
    • What is Data Mining?
      Data mining is a result of the natural evolution of information technology.
      OLAP and OLTP are applications of data mining.
    • 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
    • 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.
    • 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
    • Components of Data mining System
      Data ware house server
      Information repository
      User Interface
      Data mining Engine
      Pattern Evolution
      Knowledge Base
    • 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.
    • 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.
    • 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.
    • Visit more self help tutorials
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      The tutorials section is free, self-guiding and will not involve any additional support.
      Visit us at www.dataminingtools.net