Data Mining
Penggalian pola: association rules, klasifikasi, clustering, dan teks.
7 simulator · 0 konsultasi
Metode dengan simulasi
Apriori Simulasi
Algoritma AprioriFrequent itemset & association rule (support, confidence, lift).
BukaFP-Growth Simulasi
FP-GrowthFrequent pattern mining via FP-Tree tanpa candidate generation.
BukaECLAT Simulasi
ECLAT (Equivalence Class Transformation)Frequent itemset via intersection tidset vertikal.
BukaC4.5 / ID3 Simulasi
Decision Tree C4.5 / ID3Pohon keputusan berdasar gain ratio.
BukaK-Means Simulasi
K-Means ClusteringSegmentasi data peserta bootcamp.
BukaTF-IDF Simulasi
Term Frequency–Inverse Document FrequencyPembobotan term pada dokumen teks pendek.
BukaDeteksi Outlier Simulasi
Outlier Detection (Z-Score)Deteksi pencilan berbasis Z-score.
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