Data miningand key definitions<br />
What is Data Mining?<br />   Data mining is a result of the natural evolution of information technology.<br />OLAP and OLT...
OLAP<br />On-line transaction processing (OLTP), is an efficient method , where a query is viewed as a read-only transacti...
OLTP<br />Data warehouse technology includes data cleaning, data integration, and on-line analytical processing (OLAP), th...
What Is Data Mining?<br />Collect Data<br />Remove noise<br />Mine and get the portion of interest<br />Analyze the data<b...
Components of Data mining System<br />Data ware house server<br />Information repository<br />User Interface<br />Data min...
What is a Data Ware House?<br />A data ware-house is a repository of information collected from multiple sources, stored u...
Advanced Data and Information Systems<br />A Transactional database consists of a file where each record represents a tran...
Advanced Data and Information Systems cont..<br />Spatial databases contain spatial-related information. Examples include ...
Visit more self help tutorials<br />Pick a tutorial of your choice and browse through it at your own pace.<br />The tutori...
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Data Mining: Data mining and key definitions

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Data Mining: Data mining and key definitions

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Data Mining: Data mining and key definitions

  1. 1. Data miningand key definitions<br />
  2. 2. What is Data Mining?<br /> Data mining is a result of the natural evolution of information technology.<br />OLAP and OLTP are applications of data mining.<br />
  3. 3. OLAP<br />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<br />
  4. 4. OLTP<br />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.<br />
  5. 5. What Is Data Mining?<br />Collect Data<br />Remove noise<br />Mine and get the portion of interest<br />Analyze the data<br />Get the required information<br /> Data Mining = Get Information from data<br />
  6. 6. Components of Data mining System<br />Data ware house server<br />Information repository<br />User Interface<br />Data mining Engine<br />Pattern Evolution<br />Knowledge Base<br />
  7. 7. What is a Data Ware House?<br />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.<br />
  8. 8. Advanced Data and Information Systems<br />A Transactional database consists of a file where each record represents a transaction.<br />Object-relational databases are constructed based on an object-relational data model<br />A Temporal database typically stores relational data that include time-related attributes.<br />
  9. 9. Advanced Data and Information Systems cont..<br />Spatial databases contain spatial-related information. Examples include geographic (map) databases.<br />Text databases are databases that contain word descriptions for objects<br />A Heterogeneous database consists of a set of interconnected, autonomous component databases.<br />
  10. 10. Visit more self help tutorials<br />Pick a tutorial of your choice and browse through it at your own pace.<br />The tutorials section is free, self-guiding and will not involve any additional support.<br />Visit us at www.dataminingtools.net<br />

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