data-cleaning
Meaning to identify and correct errors.
- Handling missing data
- Ignore if insignificant
- Fill with a global constant (such as “Unknown”, “N/A”, etc.)
- Fill with mean or median
- Fill with most probably value taken from similar data points (using decision trees or Bayesian methods)
- Smoothing noisy data
- binning
- regression
- clustering
Status: #idea
Tags: data-miningData Mining* [x] data-mining-uts-quiz
knowdledge discovery in databases
data-warehousing
schema
Apriori Algorithm
Step 1: Count Distinct Items
Step 2: Identify Association Rules
FP Growth Algorithm
Step 1: Count Distinct Items
Step 2: Rearrange Items based count in descending order
Step 3: Make FP Growth Tree
1. Make Null Root Node
1. And make children sequentially
Step 4: Make Table
|Ending with|Paths|Count of each item in path|Candidate itemset with count|Frequent itemset|
|-----------, kddkdddata-prepartion
data mining
pattern-evaluation
knowledge-presentation
Status: #idea
Tags: data-mining
References, data-prepartiondata-prepartionproperly preparing the data to ensure that it is clean, consistent, and ready for analysis.
data-cleaning
data-integration
data-transformation
data-reduction
Status: #idea
Tags: data-mining, kdd
References