dm:start:guidelines
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−Indice
Guidelines for the task on data understanding
- Data semantics (4 points)
- Distribution of the variables and statistics (7 points)
- Assessing data quality (missing values + outliers) (7 points)
- Pairwise correlations (7 points)
- Presentation and profiling (5 points)
Guidelines for the task on clustering
- Clustering Analysis by K-means: (15 points)
- Identification of the best value of k
- Characterization of the obtained clusters by using both analysis of the k centroids and comparison of the distribution of variables within the clusters and that in the whole dataset
- Analysis by density-based clustering (10 points)
- Study of the clustering parameters
- Characterization and interpretation of the obtained clusters
- Analysis by hierarchical clustering (5 points)
- Analysis to be performed on a sampling of the data for scalability reasons (if necessary)
Guidelines for the task on Association Rules Mining
- Frequent Pattern Extraction with analysis of different values of support(12 points)
- Association Rule Extraction with analysis of different value of support and confidence (12 points)
- Discussion on the interesting rules extracted (6 points)
Guidelines for the task on Classification
- Learning of different decision trees (12 points)
- Decision tree validation and interpretation (12 points)
- Discussion on the best decision tree (6 points)
dm/start/guidelines.1450038248.txt.gz · Ultima modifica: 13/12/2015 alle 20:24 (9 anni fa) da Anna Monreale