How can small data sets be clustered?
AC Weigand, D Lange, M Rauschenberger - 2021 - dl.gi.de
In many areas, only small data sets are available and big data does not play a significant
role, eg, in Human-Centered Design research. In the context of machine learning analysis …
role, eg, in Human-Centered Design research. In the context of machine learning analysis …
Analyzing Textual Documents Indexes by Applying Key-Phrases Extraction in Fuzzy Logic Domain Based on A Graphical Indexing Methodology
Identifying and retrieving key phrases from a given corpus of textual documents is one of the
fundamental problems of natural language processing, it is a vital subtask in the text …
fundamental problems of natural language processing, it is a vital subtask in the text …
Fuzzy Logic-based N-gram Graph Technique for Evaluating Textual Documents Indexes
Fuzzy logic is a term that is used more and more often by researchers specialized in
information retrieval and indexing. It is supposed to fill the gaps of the current domain by …
information retrieval and indexing. It is supposed to fill the gaps of the current domain by …
[PDF][PDF] Understanding the Characteristics of Dark Web Forum Using Machine Learning Techniques
S Nazah - 2021 - dro.deakin.edu.au
The thesis develops a data analysis framework to comprehensively analyze the evolutions
of the threats with the consequences in the Dark Web by implementing the Systematic …
of the threats with the consequences in the Dark Web by implementing the Systematic …
Combining Random Forest, Fuzzy C-Means and Back-Propagation Neural Network to Predict the Revenue of Taiwan's Catering Industry Amid COVID-19
SY Wang - 2022 - search.proquest.com
Due to the impact of COVID-19, the number of inbound visitors decreased, and people
reduced outdoor activities, resulting in a severe decline in the revenue of Taiwan's catering …
reduced outdoor activities, resulting in a severe decline in the revenue of Taiwan's catering …