Emerging trends in business analytics

R Kohavi, NJ Rothleder, E Simoudis - Communications of the ACM, 2002 - dl.acm.org
Emerging trends in business analytics Page 1 COMMUNICATIONS OF THE ACM August
2002/Vol. 45, No. 8 45 he field of business analytics has improved significantly over the past …

Using sensitivity analysis and visualization techniques to open black box data mining models

P Cortez, MJ Embrechts - Information Sciences, 2013 - Elsevier
In this paper, we propose a new visualization approach based on a Sensitivity Analysis (SA)
to extract human understandable knowledge from supervised learning black box data …

User-oriented assessment of classification model understandability

H Allahyari, N Lavesson - Eleventh Scandinavian Conference on …, 2011 - ebooks.iospress.nl
This paper reviews methods for evaluating and analyzing the understandability of
classification models in the context of data mining. The motivation for this study is the fact …

Query, analysis, and visualization of hierarchically structured data using Polaris

C Stolte, D Tang, P Hanrahan - Proceedings of the eighth ACM SIGKDD …, 2002 - dl.acm.org
In the last several years, large OLAP databases have become common in a variety of
applications such as corporate data warehouses and scientific computing. To support …

Enhanced visual data mining process for dynamic decision-making

H Ltifi, E Benmohamed, C Kolski, MB Ayed - Knowledge-Based Systems, 2016 - Elsevier
Data mining has great potential in extracting useful knowledge from large amount of
temporal data for dynamic decision-making. Moreover, integrating visualization in data …

Visual data mining modeling techniques for the visualization of mining outcomes

I Kopanakis, B Theodoulidis - Journal of Visual Languages & Computing, 2003 - Elsevier
The visual senses for humans have a unique status, offering a very broadband channel for
information flow. Visual approaches to analysis and mining attempt to take advantage of our …

PIVE: Per-iteration visualization environment for real-time interactions with dimension reduction and clustering

H Kim, J Choo, C Lee, H Lee, C Reddy… - Proceedings of the AAAI …, 2017 - ojs.aaai.org
One of the key advantages of visual analytics is its capability to leverage both humans's
visual perception and the power of computing. A big obstacle in integrating machine …

Vrminer: A tool for multimedia database mining with virtual reality

H Azzag, F Picarougne, C Guinot… - … and Managing Complex …, 2006 - igi-global.com
We present in this chapter a new 3D interactive method for visualizing multimedia data with
virtual reality named VRMiner. We consider that an expert in a specific domain has collected …

Data mining of cancer vaccine trials: a bird's-eye view

X Cao, KB Maloney, V Brusic - Immunome Research, 2008 - Springer
Background A wealth of information on clinical trials has been provided by publicly
accessible online registries. Information technology and data exchange standards enable …

[HTML][HTML] Métricas para el apoyo de la exploración visual de componentes en modelos de minería de datos

F Medina-Quispe, W Castillo-Rojas… - … . Revista chilena de …, 2020 - SciELO Chile
La exploración de un modelo de Minería de Datos (MD), mediante el uso de técnicas de
representación visual apropiadas y mecanismos de interacción integrados, presentan …