Architecture of data mining system

Architecture of data mining system

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  PRESENTED BY, S .Nandhini I-Msc(CS&IT) NADAR SARASWATHI ARTS AND SCIENCE COLLEGE, THENI.
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  DATA MINING: Data miningrefers to extracting or “mining” knowledge from large amounts of data. Also referred as knowledge discovery in databases. ARCHITECTURE OF DATA MINING SYSTEM: *The architecture and design of a data mining system is critically important. *A good system architecture will facilitate the system to make best use of the software environment,accomplish data mining tasks in an efficient and timely manner.
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  ARCHITECTURE OF DATAMINING DIAGRAM Data Selection Data integration database Data warehouse World wide web Other informatio n repostior Database/data warehouse server Database engine Data/pattern evaluation Graphical user interface Knowledge base
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  Data mining systemcan be integrated with a DB/DW system using the following coupling schemes:  NO COUPLING  LOOSE COUPLING  SEMI-TIGHT COUPLING  TIGHT COUPLING
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  NO COUPLING: No couplingmeans that a DM system will not utilize any function of a DB or DW system. It may fetch data from a particular source process data using some data mining algorthims, and then store the mining result in another file. DM system may spend a substantial amount of time finding,collecting,cleaning, and transforming data. No coupling represents a poor design.
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  LOOSE COUPLING: * Loosecoupling means that a DM system will use some facilities of a DB or DW system. *Fetching data from a data repository managed by these system,performing data mining and then storing the mining results either in file or in a designated place in a database or data warehouse. Advantages of the Flexibility, efficiency, and other features provided by such systems. loose coupling to achieve High Scalability and good performance with large data sets.
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  SEMI-TIGHT COUPLING: Semitight couplingmeans that besides linking a DM system to a DB/DM system. These primitives can include sorting,indexing,aggregation,histogram analysis,multiway join,and precomputation of some essential statistical measures. such as sum,count,max,min,standard deviation
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  TIGHT COUPLING:  Tightcoupling means that a DM system is smoothly integrated into DB/DM system.  Data mining queries and functions are optimized based on mining query analysis,data structures,indexing schemes,and query processing methods of a DB or Dw system  Efficient implementations of data mining functions,high system performance, and an integrated information processing environment.
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  Loose coupling thoughnot efficient is better than no coupling since it makes use of both data and system facilities of a DB/DW system. Tight coupling is highly desirable but its implementation is nontrivial and more research is needed in this area. Semitight coupling is a compromise between loose and tight coupling.
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  THANK YOU