A comprehensive view of Hadoop research—A systematic literature review

I Polato, R Ré, A Goldman, F Kon - Journal of Network and Computer …, 2014‏ - Elsevier
Context: In recent years, the valuable knowledge that can be retrieved from petabyte scale
datasets–known as Big Data–led to the development of solutions to process information …

Overview: The design, adoption, and analysis of a visual document mining tool for investigative journalists

M Brehmer, S Ingram, J Stray… - IEEE transactions on …, 2014‏ - ieeexplore.ieee.org
For an investigative journalist, a large collection of documents obtained from a Freedom of
Information Act request or a leak is both a blessing and a curse: such material may contain …

Deepeyes: Progressive visual analytics for designing deep neural networks

N Pezzotti, T Höllt, J Van Gemert… - IEEE transactions on …, 2017‏ - ieeexplore.ieee.org
Deep neural networks are now rivaling human accuracy in several pattern recognition
problems. Compared to traditional classifiers, where features are handcrafted, neural …

Comparing visual-interactive labeling with active learning: An experimental study

J Bernard, M Hutter, M Zeppelzauer… - IEEE transactions on …, 2017‏ - ieeexplore.ieee.org
Labeling data instances is an important task in machine learning and visual analytics. Both
fields provide a broad set of labeling strategies, whereby machine learning (and in particular …

[كتاب][B] Data visualization: principles and practice

AC Telea - 2014‏ - books.google.com
This book explores the study of processing and visually representing data sets. Data
visualization is closely related to information graphics, information visualization, scientific …

Hierarchical stochastic neighbor embedding

N Pezzotti, T Höllt, B Lelieveldt… - Computer graphics …, 2016‏ - Wiley Online Library
In recent years, dimensionality‐reduction techniques have been developed and are widely
used for hypothesis generation in Exploratory Data Analysis. However, these techniques are …

Least square projection: A fast high-precision multidimensional projection technique and its application to document map**

FV Paulovich, LG Nonato, R Minghim… - IEEE Transactions on …, 2008‏ - ieeexplore.ieee.org
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 …

Visual classifier training for text document retrieval

F Heimerl, S Koch, H Bosch… - IEEE Transactions on …, 2012‏ - ieeexplore.ieee.org
Performing exhaustive searches over a large number of text documents can be tedious,
since it is very hard to formulate search queries or define filter criteria that capture an …

Graph Layouts by t‐SNE

JF Kruiger, PE Rauber, RM Martins… - Computer graphics …, 2017‏ - Wiley Online Library
We propose a new graph layout method based on a modification of the t‐distributed
Stochastic Neighbor Embedding (t‐SNE) dimensionality reduction technique. Although t …

Colorimetric Detection of Antioxidants in Food Samples Using MnO2/Graphene Quantum Dot Composites with Oxidase-like Activity

MHM Facure, RS Andre, LA Mercante… - ACS Applied Nano …, 2022‏ - ACS Publications
Recently, strategies for develo** colorimetric sensors relying on nanozymes for the
detection of analytes of health, food, and environmental interest have gained significant …