Computer Science
Approximation (Algorithm)
59%
Clustering Technique
59%
Compressed Data
19%
Computational Cost
59%
Computational Linguistics
29%
Data Exploration
59%
Data Structure
79%
Default Configuration
59%
Feature Generation
59%
Feature Selection
29%
Global Skyline
39%
Hashing
19%
Hierarchical Clustering
59%
High Throughput
19%
Hybrid Algorithm
19%
Information Present
59%
Interactive User
59%
Machine Learning
29%
Memory Subsystem
29%
Multicore
59%
Multicore Processor
59%
Multidimensional Data
59%
Multiple Dimension
79%
Multiple-Criteria Decision Analysis
79%
Mutual Information
59%
Parallelization
59%
Query Performance
59%
Research Database
59%
Response Time
59%
Resulting Cluster
59%
Sequential Algorithm
100%
Static Partitioning
59%
Tree Traversal
59%
User Preference
59%
Keyphrases
Active Set
10%
Brown Clustering
59%
Brown Clusters
10%
Complex Method
10%
Computational Linguistics
10%
Corresponding Features
10%
Distributional Information
10%
Feature Generation
59%
Feature Selection
10%
Group Word
10%
Lossy
10%
Machine Learning
10%
Rolled-up
10%
Set Size
10%
Word Representation
10%
Word Type
10%
