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Knowledge discovery (Trends towards practical results in KM and BI (change…
Knowledge discovery
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Fayyad model 6 steps
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Change and deviation detection:Identification of remarkable data records might be interesting or data errors
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Reasons to structure KDP
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should have a logical, cohesive, well-thought-out structure
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Defination
defined as the nontrivial process of
identifying valid, novel, potentially useful, and ultimately understandable patterns in data
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CRISP-DM KDP model
Industrial model
Business understanding: consists of business objectives,assessments,determination of DM goals and generation of project plan
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Data understanding: collection of initial data,description,exploration,verification of data quality
Modeling: selection of modeling techniques,generation of test design,creation of models and assessment of generated models
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Deployment:plan deployment,plan,monitoring,generation of final report and process substeps
defined as
KM can be defined as the set of activities involved in discovering,capturing,sharing and applying knowledge