Skip to main navigation
Skip to search
Skip to main content
University of Twente Research Information Home
Home
Profiles
Research units
Projects
Research output
Datasets
Activities
Prizes
Press/Media
Search by expertise, name or affiliation
Unsupervised learning approaches for non-stationary data streams
Kemilly Dearo Garcia
Datamanagement & Biometrics
Research output
:
Thesis
›
PhD Thesis - Research UT, graduation UT
312
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Unsupervised learning approaches for non-stationary data streams'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Data Stream
100%
Unsupervised Learning
100%
Learning Approach
100%
Models
31%
Classification Models
18%
Clustering Algorithm
12%
Classes
12%
clustering approach
12%
Learning Algorithm
12%
Concept Drift
12%
Algorithms
12%
Smartphones
6%
Sliding Window
6%
Supervised Learning
6%
Machine Learning Algorithm
6%
Application
6%
Experimental Result
6%
Domain Expertise
6%
Human Activity Recognition
6%
Machine Learning Approach
6%
Extract Information
6%
Neural Network
6%
Detection
6%
Wearable Sensor
6%
Time Processing
6%
Social Media
6%
Dynamic Environment
6%