DWDM \ Data MiningTasks

Data Mining Tasks Classification is based on What a Specific Task Tries to Achieve.


Data Mining Tasks Classification (Descriptive and Predictive)
1. Descriptive Tasks 2. Predictive Tasks.
They characterize data general properties. Used to predict how a new data set will behave based on their inference on the available data set.


Data Mining Tasks
They are of 2 types.They were 1. Predictive Tasks. 2. Descriptive Tasks.
  Predictive Data Mining sud Tasks
Classification
Data Mining Task: Predictive Data Mining Task Prediction
Time series Analysis
Regression


Association
Data Mining Task: Descriptive Data Mining Task Summarization
Sequence Discovery


Data Mining sub Tasks Details
Classification It is a data mining function used to predict and assigns data to a particular class.
i.e Data <-------> Which class
Prediction It predicts possible values of missing or future data. For this it constructs a
Time - Series Analysis Time Series is a sequence of events. Time - Series Analysis uses 1/ more preceding events to determine next event. Example : Stock market prediction.
Association It is used to find relationship / association / connection among a set of items / objects. Example the person who buys bread tries to purchase jam.
Clustering It is a process of grouping items. Similar to one and remaining tot other.
Summarization It is the generalization of data and it can be viewed in various perspective levels.
Sequence Discovery It is used to identify the odd things in the sequence of objects / items.


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