View source for User:Manetta/meta-mining/knowledge-discovery-in-data

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=Knowledge Discovery in Data (KDD) steps=
 * KDD steps:
   #!step 0 --> deciding on point of view+
   step 1 --> data collection
   step 2 --> data preparation
   step 3 --> data mining
    #!step 3a --> creating a vector space 
                 (turning words into numbers / mathematical multidimensional graph)+
    #!step 3b --> creating a model 
                 (searching for patterns in the graph)+
   step 4 --> interpretation
   step 5 --> determine actions

 <small>step 1,2,3,4,5 from: Data Mining and Profiling in Large Databases, Bart Custers, Toon Calders, Bart Schermer, and Tal Zarsky (Eds.) (2013)</small>
 <small>step 0, 3a, 3b from: [[ #!PATTERN+ project]]</small>

==step 3b==
[[File:Knowledge-discovery-in-data_pattern-mining-types.png]]<br>
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[[File:Knowledge-discovery-in-data_data-mining_models-in-dimensions.png]]<br>
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<small>both from: Data Mining and Profiling in Large Databases, Bart Custers, Toon Calders, Bart Schermer, and Tal Zarsky (Eds.) (2013)</small>
==notes==


==related==

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