Computer Science
Decision Trees
100%
Data Mining
72%
Experimental Result
69%
Learning System
56%
Machine Learning
52%
Evaluation Criterion
42%
Clustering Technique
41%
Knowledge Discovery
40%
Genetic Algorithm
36%
Random Decision Forest
36%
Classification Algorithm
26%
Prediction Accuracy
22%
privacy preserving data mining
18%
Decision Tree Algorithm
17%
Malware
17%
Online Social Networks
16%
Individual Privacy
16%
Classification Accuracy
16%
Machine Learning Technique
15%
Attribute Value
15%
Cybersecurity
14%
Data Mining Technique
14%
Software Defect
14%
Social Network Site
14%
Differential Privacy
14%
Defect Prediction
13%
Sensitive Informations
13%
Data Preprocessing
12%
Data Mining Task
12%
Supply Chain
11%
Initial Population
11%
Class Imbalance
11%
Classification Technique
11%
Physiological Data
10%
Class Attribute
10%
Clustering Result
10%
Learning Framework
10%
ensemble classifier
9%
Anonymization
9%
And-States
9%
Data Source
9%
Data Integration
9%
Clustering Quality
8%
Internet-Of-Things
8%
Attribute Space
8%
Climatic Change
8%
Dimensional Data Set
8%
Silhouette Coefficient
8%
Training Dataset
7%
Privacy-Preserving Technique
7%
Keyphrases
Decision Tree
79%
Decision Forest
55%
Existing Techniques
49%
Knowledge Discovery
43%
Clustering Methods
42%
Data Mining Techniques
38%
Genetic Algorithm
35%
Evaluation Criteria
29%
Missing Value Imputation
29%
K-means
26%
Random Forest
22%
Logic Rules
22%
Australia
21%
Decision Forest Algorithm
20%
Machine Learning
19%
Irrigation Water
18%
Privacy Preserving Data Mining
18%
Classification Accuracy
18%
Prediction Accuracy
17%
Data Miner
17%
Smartphone
17%
Online Social Networks
16%
Data Preprocessing
16%
Popular
16%
Publicly Available
16%
Novel Technique
15%
UCI Machine Learning Repository
15%
Individual Privacy
15%
Classification Algorithms
15%
Software Defect Prediction
14%
Social Networking Sites
14%
Physiological Data
14%
Numerical Attributes
14%
Initial Seed
13%
Malicious Data
12%
Initial Population
12%
Classification Methods
12%
Clustering Results
12%
Cost-sensitive Classification
12%
Selection Strategy
12%
Attribute Value
12%
Decision Tree Algorithm
12%
Class Attributes
11%
Number of Clusters
11%
Agriculture
11%
Ensemble Accuracy
11%
Resilience
10%
Differentially Private
10%
Tree-based
10%
Class Imbalance
10%
