An overview of concept drift applications
In most challenging data analysis applications, data evolve over time and must be analyzed
in near real time. Patterns and relations in such data often evolve over time, thus, models …
in near real time. Patterns and relations in such data often evolve over time, thus, models …
Learning under concept drift: an overview
I Žliobaitė - arxiv preprint arxiv:1010.4784, 2010 - arxiv.org
Concept drift refers to a non stationary learning problem over time. The training and the
application data often mismatch in real life problems. In this report we present a context of …
application data often mismatch in real life problems. In this report we present a context of …
A review of conceptual clustering algorithms
A Pérez-Suárez, JF Martínez-Trinidad… - Artificial Intelligence …, 2019 - Springer
Clustering is a fundamental technique in data mining and pattern recognition, which has
been successfully applied in several contexts. However, most of the clustering algorithms …
been successfully applied in several contexts. However, most of the clustering algorithms …
Adaptive training set formation
I Žliobaitė - 2010 - epublications.vu.lt
Abstract [eng] Nowadays, when the environment is changing rapidly and dynamically, there
is a particular need for adaptive data mining methods.Spam'filters, personalized …
is a particular need for adaptive data mining methods.Spam'filters, personalized …
Growing Hierarchical Self-Organizing Map Using Category Utility
K Murakoshi, S Fujikawa - International Journal of Software …, 2016 - World Scientific
In order to automatically obtain hierarchical knowledge representation from a certain data,
an unsupervised learning method has been developed that overcomes two problems of the …
an unsupervised learning method has been developed that overcomes two problems of the …
[PDF][PDF] Growing hierarchical self-organizing map method using category utility
K Murakoshia, S Fujikawaa - 133.15.153.1
In order to automatically obtain hierarchical knowledge representation from a certain data,
an unsupervised learning method has been developed that overcomes two problems of the …
an unsupervised learning method has been developed that overcomes two problems of the …
Machine Learning in a Changing World
J Scanlan, JS Hartnett, RN Williams - 2009 - figshare.utas.edu.au
For many different fields of research the target of the research evolves over time. In this
paper a machine learning approach called DynamicWEB is presented. This allows a …
paper a machine learning approach called DynamicWEB is presented. This allows a …
[CITATION][C] Learning under concept drift: an overview
I Zliobaite - arxiv preprint arxiv:1010.4784, 2010 - Technical report, Vilnius University