Toward a quantitative survey of dimension reduction techniques
Dimensionality reduction methods, also known as projections, are frequently used in
multidimensional data exploration in machine learning, data science, and information …
multidimensional data exploration in machine learning, data science, and information …
Least square projection: A fast high-precision multidimensional projection technique and its application to document mapping
The problem of projecting multidimensional data into lower dimensions has been pursued
by many researchers due to its potential application to data analyses of various kinds. This …
by many researchers due to its potential application to data analyses of various kinds. This …
A critical analysis of studies that address the use of text mining for citation screening in systematic reviews
Background: Since the introduction of the systematic review process to Software
Engineering in 2004, researchers have investigated a number of ways to mitigate the …
Engineering in 2004, researchers have investigated a number of ways to mitigate the …
Serendip: Topic model-driven visual exploration of text corpora
E Alexander, J Kohlmann, R Valenza… - … IEEE Conference on …, 2014 - ieeexplore.ieee.org
Exploration and discovery in a large text corpus requires investigation at multiple levels of
abstraction, from a zoomed-out view of the entire corpus down to close-ups of individual …
abstraction, from a zoomed-out view of the entire corpus down to close-ups of individual …
Large-scale evaluation of topic models and dimensionality reduction methods for 2d text spatialization
Topic models are a class of unsupervised learning algorithms for detecting the semantic
structure within a text corpus. Together with a subsequent dimensionality reduction …
structure within a text corpus. Together with a subsequent dimensionality reduction …
The projection explorer: A flexible tool for projection-based multidimensional visualization
FV Paulovich, MCF Oliveira… - XX Brazilian Symposium …, 2007 - ieeexplore.ieee.org
Multidimensional projections map data points, defined in a high-dimensional data space,
into a 1D, 2D or 3D representation space. Such a mapping may be typically achieved with …
into a 1D, 2D or 3D representation space. Such a mapping may be typically achieved with …
Visual text mining using association rules
In many situations, individuals or groups of individuals are faced with the need to examine
sets of documents to achieve understanding of their structure and to locate relevant …
sets of documents to achieve understanding of their structure and to locate relevant …
Unprojection: Leveraging inverse-projections for visual analytics of high-dimensional data
Projection techniques are often used to visualize high-dimensional data, allowing users to
better understand the overall structure of multi-dimensional spaces on a 2D screen …
better understand the overall structure of multi-dimensional spaces on a 2D screen …
A visual text mining approach for systematic reviews
V Malheiros, E Hohn, R Pinho… - First international …, 2007 - ieeexplore.ieee.org
The software engineering research community has been adopting systematic reviews as an
unbiased and fair way to assess a research topic. Despite encouraging early results, a …
unbiased and fair way to assess a research topic. Despite encouraging early results, a …