Filters








55,479 Hits in 4.6 sec

Graphical Representation and Exploratory Visualization for Decision Trees in the KDD Process

Wilson Andres Castillo Rojas, Claudio Meneses Villegas
2012 2012 IEEE Ninth Electronics, Robotics and Automotive Mechanics Conference  
This article presents a proposal of representation and scheme of exploratory visualization for Decision Trees in the KDD (Knowledge Discovery in Database) process, specifically in the data mining stage  ...  In this sense, this work pursues to introduce new schemes of visualizations that allow specifically understand how the data mining models work internally.  ...  Criteria for Evaluating Treemap Visualizations It was noted that the treemap technique allows information to visually represent hierarchical structures in 2D, and is capable of representing large collections  ... 
doi:10.1109/cerma.2012.40 fatcat:mqhppnigdrd6bevzayocsbwce4

Graphical representation and exploratory visualization for Decision Trees in the KDD process

Wilson Andres Castillo Rojas, Claudio Meneses Villegas
2012 2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI)  
This article presents a proposal of representation and scheme of exploratory visualization for Decision Trees in the KDD (Knowledge Discovery in Database) process, specifically in the data mining stage  ...  In this sense, this work pursues to introduce new schemes of visualizations that allow specifically understand how the data mining models work internally.  ...  Criteria for Evaluating Treemap Visualizations It was noted that the treemap technique allows information to visually represent hierarchical structures in 2D, and is capable of representing large collections  ... 
doi:10.1109/clei.2012.6427162 dblp:conf/clei/RojasV12 fatcat:6n5gfanvdfauzpu52atnhkufme

Graphical Representation and Exploratory Visualization for Decision Trees in the KDD Process

Wilson A. Castillo Rojas, Claudio J. Meneses Villegas
2013 Procedia - Social and Behavioral Sciences  
This article presents a proposal of representation and scheme of exploratory visualization for Decision Trees in the KDD (Knowledge Discovery in Database) process, specifically in the data mining stage  ...  In this sense, this work pursues to introduce new schemes of visualizations that allow specifically understand how the data mining models work internally.  ...  Criteria for Evaluating Treemap Visualizations It was noted that the treemap technique allows information to visually represent hierarchical structures in 2D, and is capable of representing large collections  ... 
doi:10.1016/j.sbspro.2013.02.033 fatcat:sinxkhxxbjfmlmr2qbxegwirla

Visualizing big network traffic data using frequent pattern mining and hypergraphs

Eduard Glatz, Stelios Mavromatidis, Bernhard Ager, Xenofontas Dimitropoulos
2013 Computing  
Communication logs, however, can be massive, which necessitates designing effective visualization techniques for large data sets.  ...  Previous research has explored using parallel-coordinate plots for visualizing network traffic flows. However, such plots do not scale to data sets with thousands of even millions of flows.  ...  Scaling to large data sets In this section, we show how our scheme complements existing commonly-used approaches, which visualize every individual connection, but can only scale to small data sets, by  ... 
doi:10.1007/s00607-013-0282-8 fatcat:rf6hb5owpvb57eooecdfd2lhne

Knowledge Map: Toward a New Approach Supporting the Knowledge Management in Distributed Data Mining [article]

Nhien-An Le-Khac, Lamine M. Aouad, M-Tahar Kechadi
2019 arXiv   pre-print
This new approach aims to manage efficiently mined knowledge in large scale distributed platform such as Grid.  ...  This causes problems of not only knowledge management but also visualization in data mining.  ...  We aim also offer an effective knowledge map to facilitate the visualization for data mining.  ... 
arXiv:1910.10547v1 fatcat:yiukwrzpxjd4bimqjawsqp5lfu

A Review on Clustering Technique

Vivek Kumar
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
Hidden Knowledge is very important in data mining field.  ...  Large data set have many hidden pattern which have very crucial information, Clustering is such technique which find the hidden pattern from the large data.  ...  Data mining derives its name from the similarities between searching for valuable information in a large database.  ... 
doi:10.17762/ijritcc2321-8169.1503136 fatcat:rdt7mpmyvnbm3ph6o7v72wmpdy

Evaluating knowledge transfer and zero-shot learning in a large-scale setting

Marcus Rohrbach, Michael Stark, Bernt Schiele
2011 CVPR 2011  
To this end, we provide an extensive evaluation of three popular approaches to KT on a recently proposed large-scale data set, the ImageNet Large Scale Visual Recognition Competition 2010 data set.  ...  We also propose and describe several extensions of the evaluated approaches that are necessary for this large-scale study.  ...  We evaluate knowledge transfer on the recently proposed ImageNet data set [7] , specifically, on the associated ImageNet Large Scale Visual Recognition Competition 2010 (ILSVRC10) subset [2] .  ... 
doi:10.1109/cvpr.2011.5995627 dblp:conf/cvpr/RohrbachSS11 fatcat:uc655tnp7bb6jau4bcvdudjgzy

From visual data exploration to visual data mining: A survey

M.C.F. de Oliveira, H. Levkowitz
2003 IEEE Transactions on Visualization and Computer Graphics  
We survey work on the different uses of graphical mapping and interaction techniques for visual data mining of large data sets represented as table data.  ...  Basic terminology related to data mining, data sets, and visualization is introduced.  ...  Visual Data Exploration for Mining Mining tasks usually demand techniques capable of handling large amounts of multidimensional data, often in the format of Data Tables or relational databases.  ... 
doi:10.1109/tvcg.2003.1207445 fatcat:g6lrnvirmfdy7k55c6w65p3fpi

Partial Ordered Structure Radial Tree: A New Method for Big Data Visualization

Wenxue Hong, Fang Sun, Shaoxiong Li, Jialin Song, Cunfang Zheng
2016 ICIC Express Letters  
The raise of partial ordered structure radial tree provides a useful way for knowledge visualization, and it is of great significance to knowledge discovery and data mining of big data.  ...  Partial ordered structure diagram has been widely applied to knowledge discovery, data mining and many other domains due to its better visualization effect.  ...  The authors also gratefully acknowledge the reviewers for their valuable comments and suggestions to the paper.  ... 
doi:10.24507/icicel.10.05.1181 fatcat:zzqjdhkmnvfvvd6gm2tq3lu7ha

Image information mining : exploration of Earth observation archives

M. Dateu, K. Seidel
2003 Geographica Helvetica  
It has been known for many years that classical image file text annotation is prohibitive for large data bases.  ...  In order to implement the hierarchical representation of the image information content, the data is pre-processed. First, the image features are extracted for different image scales.  ... 
doi:10.5194/gh-58-154-2003 fatcat:hvgfd2p33zettm2u2q3uj4jui4

Visualizing Attribute Interdependencies Using Mutual Information, Hierarchical Clustering, Multidimensional Scaling, and Self-organizing Maps

Derek Nazareth, Ehsan Soofi, Huimin Zhao
2007 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07)  
We further visualize the attribute interdependencies using a host of techniques, including hierarchical clustering, multidimensional scaling, and self-organizing maps.  ...  Data pre-processing tends to be the most critical and time-consuming step during data mining processes.  ...  For example, if two attributes contain largely the same information, it is possible to eliminate one, thereby reducing the data mining effort as well as making the data set more compact.  ... 
doi:10.1109/hicss.2007.608 dblp:conf/hicss/NazarethSZ07 fatcat:ngevwjt24vanrka7xwjfefxblq

Novel Data Structure Modeling Model based on Hierarchical Data Analysis and Parsing

Chang Liu, Ting Han, Changli Sun
2017 DEStech Transactions on Social Science Education and Human Science  
In this article, we describe the characteristics of large-scale modeling of the theme text of this site data and important progress in recent years.  ...  In addition to structural modeling for this site text data, also we discuss some of the three-dimensional Markov model energy minimization of machine learning algorithms.  ...  Theme is a model for the analysis of large-scale text hierarchical Bayesian model, which uses a fast unsupervised machine learning algorithms to extract the low-dimensional mathematical representation,  ... 
doi:10.12783/dtssehs/icsste2017/9417 fatcat:mi53ux4ryzdr7pjb7b2enb7ifi

VisANT: an integrative framework for networks in systems biology

Z. Hu, E. S. Snitkin, C. DeLisi
2008 Briefings in Bioinformatics  
Among the tools being developed to meet this challenge is VisANT (freely available at http://visant.bu.edu) which integrates, mines and displays hierarchical information.  ...  Challenges to integrating modeling (discrete or continuous) and simulation capabilities into such visual mining software are briefly discussed. University.  ...  Acknowledgements We thank colleagues, students and other users of VisANT for their valuable comments and suggestions in improving all facets of the system.  ... 
doi:10.1093/bib/bbn020 pmid:18463131 pmcid:PMC2743399 fatcat:7ollymkv3zcodgtlxpjvp23b2y

Analysis Of Diverse Clustering Tools In Data Mining

S. Sarumathi, N. Shanthi, M. Sharmila
2014 Zenodo  
These challenges pave the way for the emergence of powerful expansive data mining clustering softwares.  ...  Clustering in data mining is an unsupervised learning technique of aggregating the data objects into meaningful groups such that the intra cluster similarity of objects are maximized and inter cluster  ...  PermutMatrix PermutMatrix is a data mining tool [4]-[9] specifically used for analysing and visualizing gene data.  ... 
doi:10.5281/zenodo.1336475 fatcat:r55g3ue75jbdnpp2zkocsilbwm

Tenth international workshop on multimedia data mining

Valery A. Petrushin, Jia-Yu (Tim) Pan, Cees G.M. Snoek
2011 SIGKDD Explorations  
In this report we provide a summary of the tenth Multimedia Data Mining Workshop that was held in conjunction with the 16th ACM  ...  The fifth paper "Large Scale Image Clustering with Support Vector Machine based on Visual Keywords" (Chang, Ip, Feng) continues the popular at the Workshop topic of image mining using visual keywords  ...  -Data mining of large datasets of user generated content (e.g., YouTube, Flickr, etc.).  ... 
doi:10.1145/1964897.1964909 fatcat:pmhjo25aorhslicey2ljgsyo3q
« Previous Showing results 1 — 15 out of 55,479 results