Space optimisation in multi-dimensional data visualisation

[1]  Matthew O. Ward,et al.  XmdvTool: integrating multiple methods for visualizing multivariate data , 1994, Proceedings Visualization '94.

[2]  Yogesh L. Simmhan,et al.  The Trident Scientific Workflow Workbench , 2008, 2008 IEEE Fourth International Conference on eScience.

[3]  Jesse S. Jin,et al.  Parallel Rough Set: Dimensionality Reduction and Feature Discovery of Multi-Dimensional Data in Visualization , 2011, ICONIP.

[4]  Yiyu Yao,et al.  Attribute reduction in decision-theoretic rough set models , 2008, Inf. Sci..

[5]  Melanie Tory,et al.  Human factors in visualization research , 2004, IEEE Transactions on Visualization and Computer Graphics.

[6]  Daniel B. Carr,et al.  Scatterplot matrix techniques for large N , 1986 .

[7]  Mao Lin Huang,et al.  Space-Optimized Tree: A Connection+Enclosure Approach for the Visualization of Large Hierarchies , 2003, Inf. Vis..

[8]  Alexander N. Gorban,et al.  Principal Manifolds and Graphs in Practice: from Molecular Biology to Dynamical Systems , 2010, Int. J. Neural Syst..

[9]  R. Suganya,et al.  Data Mining Concepts and Techniques , 2010 .

[10]  Martin A. Andresen Crime Measures and the Spatial Analysis of Criminal Activity , 2006 .

[11]  Steven K. Feiner,et al.  Worlds within worlds: metaphors for exploring n-dimensional virtual worlds , 1990, UIST '90.

[12]  Purvesh Khatri,et al.  Ontological analysis of gene expression data: current tools, limitations, and open problems , 2005, Bioinform..

[13]  Michael Balzer,et al.  Voronoi treemaps for the visualization of software metrics , 2005, SoftVis '05.

[14]  Mao Lin Huang,et al.  A space-optimized tree visualization , 2002, IEEE Symposium on Information Visualization, 2002. INFOVIS 2002..

[15]  Carson Kai-Sang Leung,et al.  DSTree: A Tree Structure for the Mining of Frequent Sets from Data Streams , 2006, Sixth International Conference on Data Mining (ICDM'06).

[16]  Lloyd Treinish,et al.  An extended data-flow architecture for data analysis and visualization , 1995, COMG.

[17]  Steven K. Feiner,et al.  Visual task characterization for automated visual discourse synthesis , 1998, CHI.

[18]  Ronald A. Metoyer,et al.  Visualization of cluster structure and separation in multivariate mixed data: A case study of diversity faultlines in work teams , 2014, Comput. Graph..

[19]  Lawrence A. Presley,et al.  Recovering and Examining Computer Forensic Evidence , 2000 .

[20]  Michael S. Horn,et al.  Visualizing Biodiversity with Voronoi Treemaps , 2009, 2009 Sixth International Symposium on Voronoi Diagrams.

[21]  Michael Lewis,et al.  Evaluating visualizations: using a taxonomic guide , 2000, Int. J. Hum. Comput. Stud..

[22]  Heike Hofmann,et al.  Visualizing association rules with interactive mosaic plots , 2000, KDD '00.

[23]  Venansius Baryamureeba,et al.  The Enhanced Digital Investigation Process Model , 2004 .

[24]  B. K. L. Feia,et al.  The use of self-organising maps for anomalous behaviour detection in a digital investigation , 2006 .

[25]  Martin Theus,et al.  High-dimensional Data Visualization , 2008 .

[26]  Nicole Beebe,et al.  A hierarchical, objectives-based framework for the digital investigations process , 2005, Digit. Investig..

[27]  Eoghan Casey,et al.  Tool review - remote forensic preservation and examination tools , 2004, Digit. Investig..

[28]  Robert Moore,et al.  Cybercrime: Investigating High-Technology Computer Crime , 2006 .

[29]  Teuvo Kohonen,et al.  The self-organizing map , 1990 .

[30]  Mao Lin Huang,et al.  Using Visual Cues on DOITree for Visualizing Large Hierarchical Data , 2014, 2014 18th International Conference on Information Visualisation.

[31]  Mao Lin Huang,et al.  A new concentric-circle visualization of multi-dimensional data and its application in network security , 2010, J. Vis. Lang. Comput..

[32]  Jarke J. van Wijk,et al.  Image based flow visualization , 2002, ACM Trans. Graph..

[33]  George M. Mohay Technical challenges and directions for digital forensics , 2005, First International Workshop on Systematic Approaches to Digital Forensic Engineering (SADFE'05).

[34]  S. Johansson,et al.  Interactive Dimensionality Reduction Through User-defined Combinations of Quality Metrics , 2009, IEEE Transactions on Visualization and Computer Graphics.

[35]  Uffe Kock Wiil,et al.  Digital Forensics and Crime Investigation: Legal Issues in Prosecution at National Level , 2010, 2010 Fifth IEEE International Workshop on Systematic Approaches to Digital Forensic Engineering.

[36]  Herman Chernoff,et al.  The Use of Faces to Represent Points in k- Dimensional Space Graphically , 1973 .

[37]  R.F. Erbacher,et al.  Foundations for Visual Forensic Analysis , 2006, 2006 IEEE Information Assurance Workshop.

[38]  Shusaku Tsumoto,et al.  Accuracy and Coverage in Rough Set Rule Induction , 2002, Rough Sets and Current Trends in Computing.

[39]  Catherine Plaisant,et al.  SpaceTree: supporting exploration in large node link tree, design evolution and empirical evaluation , 2002, IEEE Symposium on Information Visualization, 2002. INFOVIS 2002..

[40]  F. Daum Nonlinear filters: beyond the Kalman filter , 2005, IEEE Aerospace and Electronic Systems Magazine.

[41]  Michael J. McGuffin,et al.  GPLOM: The Generalized Plot Matrix for Visualizing Multidimensional Multivariate Data , 2013, IEEE Transactions on Visualization and Computer Graphics.

[42]  Brian D. Carrier,et al.  File System Forensic Analysis , 2005 .

[43]  Xuyun Zhang,et al.  Using arced axes in parallel coordinates geometry for high dimensional BigData visual analytics in cloud computing , 2014, Computing.

[44]  Geoff Holmes,et al.  Classifier chains for multi-label classification , 2009, Machine Learning.

[45]  Markus Hadwiger,et al.  NeuroBlocks – Visual Tracking of Segmentation and Proofreading for Large Connectomics Projects , 2016, IEEE Transactions on Visualization and Computer Graphics.

[46]  Alfred Inselberg,et al.  The plane with parallel coordinates , 1985, The Visual Computer.

[47]  Matthew O. Ward,et al.  Visual Hierarchical Dimension Reduction for Exploration of High Dimensional Datasets , 2003, VisSym.

[48]  Chris North,et al.  An insight-based methodology for evaluating bioinformatics visualizations , 2005, IEEE Transactions on Visualization and Computer Graphics.

[49]  Ryan Hafen,et al.  Understanding syndromic hotspots - a visual analytics approach , 2008, 2008 IEEE Symposium on Visual Analytics Science and Technology.

[50]  Judith S. Donath,et al.  A semantic approach to visualizing online conversations , 2002, CACM.

[51]  Stuart K. Card,et al.  The effects of information scent on visual search in the hyperbolic tree browser , 2003, TCHI.

[52]  Malcolm J. Beynon,et al.  Reducts within the variable precision rough sets model: A further investigation , 2001, Eur. J. Oper. Res..

[53]  R. Tibshirani,et al.  Significance analysis of microarrays applied to the ionizing radiation response , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[54]  Wojciech Ziarko,et al.  Variable Precision Rough Set Model , 1993, J. Comput. Syst. Sci..

[55]  Haim Levkowitz,et al.  Uncovering Clusters in Crowded Parallel Coordinates Visualizations , 2004, IEEE Symposium on Information Visualization.

[56]  Heidrun Schumann,et al.  A scalable framework for information visualization , 2000, IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings.

[57]  Daniel A. Keim,et al.  Mastering the Information Age - Solving Problems with Visual Analytics , 2010 .

[58]  Marina V. Rodnina,et al.  Structure of the E. coli ribosome–EF-Tu complex at <3 Å resolution by Cs-corrected cryo-EM , 2015, Nature.

[59]  Daniel H. Huson,et al.  Dendroscope: An interactive viewer for large phylogenetic trees , 2007, BMC Bioinformatics.

[60]  Aleksander Ohrn,et al.  ROSETTA -- A Rough Set Toolkit for Analysis of Data , 1997 .

[61]  Ian H. Witten,et al.  Data mining in bioinformatics using Weka , 2004, Bioinform..

[62]  Daniel A. Keim,et al.  Designing Pixel-Oriented Visualization Techniques: Theory and Applications , 2000, IEEE Trans. Vis. Comput. Graph..

[63]  John T. Stasko,et al.  Understanding and characterizing insights: how do people gain insights using information visualization? , 2008, BELIV.

[64]  P. C. Wong Visual data mining , 1999, IEEE Computer Graphics and Applications.

[65]  Ricci S. C. Ieong,et al.  FORZA - Digital forensics investigation framework that incorporate legal issues , 2006, Digit. Investig..

[66]  J. Kruskal Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis , 1964 .

[67]  Ben Shneiderman,et al.  Visualization and analysis of microarray and gene ontology data with treemaps , 2004, BMC Bioinformatics.

[68]  Kwan-Liu Ma,et al.  Flow-based scatterplots for sensitivity analysis , 2010, 2010 IEEE Symposium on Visual Analytics Science and Technology.

[69]  Andreas Rauber,et al.  The growing hierarchical self-organizing map: exploratory analysis of high-dimensional data , 2002, IEEE Trans. Neural Networks.

[70]  Matthias Kreuseler,et al.  Visualization of geographically related multidimensional data in virtual 3D scenes , 2000 .

[71]  Zdzislaw Pawlak,et al.  VAGUENESS AND UNCERTAINTY: A ROUGH SET PERSPECTIVE , 1995, Comput. Intell..

[72]  Eve Marder,et al.  Structure and visualization of high-dimensional conductance spaces. , 2006, Journal of neurophysiology.

[73]  Marcus K. Rogers,et al.  The future of computer forensics: a needs analysis survey , 2004, Comput. Secur..

[74]  Janusz Zalewski,et al.  Rough sets: Theoretical aspects of reasoning about data , 1996 .

[75]  Ben Shneiderman,et al.  The eyes have it: a task by data type taxonomy for information visualizations , 1996, Proceedings 1996 IEEE Symposium on Visual Languages.

[76]  Mao Lin Huang,et al.  EncCon: An Approach to Constructing Interactive Visualization of Large Hierarchical Data , 2005, Inf. Vis..

[77]  Jeffrey Heer,et al.  DOITrees revisited: scalable, space-constrained visualization of hierarchical data , 2004, AVI.

[78]  Shawn Ostermann,et al.  Detecting Anomalous Network Traffic with Self-organizing Maps , 2003, RAID.

[79]  Kimmo Hätönen,et al.  A computer host-based user anomaly detection system using the self-organizing map , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

[80]  Christophe Hurter,et al.  FromDaDy: Spreading Aircraft Trajectories Across Views to Support Iterative Queries , 2009, IEEE Transactions on Visualization and Computer Graphics.

[81]  Richard A. Becker,et al.  Brushing scatterplots , 1987 .

[82]  Jonathan Bingham,et al.  Visualizing large hierarchical clusters in hyperbolic space , 2000, Bioinform..

[83]  Ali A. Ghorbani,et al.  A Survey of Visualization Systems for Network Security , 2012, IEEE Transactions on Visualization and Computer Graphics.

[84]  Robert E. Tarjan,et al.  Updating a Balanced Search Tree in O(1) Rotations , 1983, Inf. Process. Lett..

[85]  S T Roweis,et al.  Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.

[86]  Christophe Hurter,et al.  Accumulation as a tool for efficient visualization of geographical and temporal data , 2009 .

[87]  Mao Lin Huang,et al.  A New Axes Re-ordering Method in Parallel Coordinates Visualization , 2012, 2012 11th International Conference on Machine Learning and Applications.

[88]  Robert Spence,et al.  Visualisation for functional design , 1995, Proceedings of Visualization 1995 Conference.

[89]  Mark Pollitt,et al.  Computer Forensics Education , 2003, IEEE Secur. Priv..

[90]  Ivan Herman,et al.  Graph Visualisation and Navigation in Information Visualisation , 1999, Eurographics.

[91]  Heidrun Schumann,et al.  3D information visualization for time dependent data on maps , 2005, Ninth International Conference on Information Visualisation (IV'05).

[92]  Jarke J. van Wijk,et al.  HyperSlice - Visualization of Scalar Functions of Many Variables , 1993, IEEE Visualization.

[93]  Xiaoru Yuan,et al.  Interactive local clustering operations for high dimensional data in parallel coordinates , 2010, 2010 IEEE Pacific Visualization Symposium (PacificVis).

[94]  Matthew O. Ward,et al.  Clutter Reduction in Multi-Dimensional Data Visualization Using Dimension Reordering , 2004, IEEE Symposium on Information Visualization.

[95]  Heikki Mannila,et al.  Random projection in dimensionality reduction: applications to image and text data , 2001, KDD '01.

[96]  Matthew O. Ward,et al.  Exploring N-dimensional databases , 1990, Proceedings of the First IEEE Conference on Visualization: Visualization `90.

[97]  R McGill,et al.  Graphical Perception and Graphical Methods for Analyzing Scientific Data , 1985, Science.

[98]  Leland Wilkinson,et al.  The History of the Cluster Heat Map , 2009 .

[99]  Xuyun Zhang,et al.  A novel virtual node approach for interactive visual analytics of big datasets in parallel coordinates , 2016, Future Gener. Comput. Syst..

[100]  John W. Tukey,et al.  A Projection Pursuit Algorithm for Exploratory Data Analysis , 1974, IEEE Transactions on Computers.