Site maintenance: Ilka Miloucheva

• M.Alexa,M.Mueller,Visualizing Time-Series on Spirals.,Proc.of the IEEE InfoVis Symposium, IEEE Press, Los Alamitos CA,2001
• Becker,G.Eick,A.Wilks,Visualizing Network Data,Reading in Information Visualization:Using Vision to think,Stuart Card,Jock Mackinlay,Ben Schneiderman,editors,Morgan Kaufman Publishers,1999
• J.Brown,A.McGregor,H-W Braun,Network Perfomance Visualization Insight through Animation,PAM 2000
• Browser,A Tool for Time Series Exploration,http://www.ncea.org.au/Browser
  [DM 99] Introduction to Data Mining and Knowledge Discovery, ISBN 1-892095-02-05, Two Crows Corporation, 1999.
• L.Chittaro, C.Combi ,G. Trapasso,Visual Data Mining of Clinical Databases: An Application To the hemodialytic treatment based on 3D Interactive Bar Charts,2002
• L.Chittaro,Information Visualization and its application to medecin,Artificial Intelligence in Medicine Journal,2001
• J.Carlis,J.Konstan,Interactive Visualization of Serial Periodic Data,In Proc Uist 98,San Francisco CA,November,1998
• M.Derthick,, J.Kolojejchick,S.FRoth, An Interactive Visual Query Environment for Exploring Data. Proceedings of the ACM Symposium on User Interface Software and Technology ACM Press, October 1997
• S. K. Card, J. D. Mackinlay,B. Shneiderman. Readings in Information Visualization: Using Vision To Think,San Francisco,Calif., Morgan Kaufmann, 1999.
• U.Fayyad,A.Wierse,G.Grinstein,Information Visualization in Data Mining and Knowledge Discovery, San Francisco,Calif ,Morgan Kaufmann Series 2001
• U.Fayyad,Advances in knowledge discovery and data mining ,Menlo Park, Calif,AAAI Press, Cambridge, Mass,The MIT Pr,1996
• M.Ganesh,S.Han,V.Kumar,S.Shekhar,J.Srivastava,Visual Data Mining Framework and Algorithms Development,Technical Report 96-021,March 1996.
• ]M.Garofalakis,J.Gehrke,R.Rastori,Querying and Mining Data Streams,You only get one look,A Tutorial,Bell Laboratories,Cornell University,VLDB’02,2002
• N.Grady,R.Flanery,J.Donato,J.Schryver,Time Series Data Exploration,Codata Euro-American Workshop,Visualization of Information and Data,June 1997
• Haber, R. B.; Mc Nabb, D. A.: Visualization idioms: A conceptual model for scientific Visualization Systems. In: Shriver, B.; Nielson, G. M.; Rosenblum, L. (eds): Visualization in Scientific Computing. IEEE-Computer Society Press, Los Alamitos, 1990, P.74-93
• H.Hochheiser, B.Shneiderman,Visual Queries for Finding Patterns in Time Series Data,Technical Report, University of Maryland, Computer Science Dept.,2002
• H.Hochheiser,B.Shneiderman,Visual Specification of Queries for Finding Patterns in Time-Series Data,Proceedings Discovery Science 2001,Technical Report,University of Maryland, Computer Science Dept,2001.
• David Hand,Heikki Mannila,Padhraic Smith,Principles of Data Mining,
  Massachutes,MIT Press, 2001
  (Chapter 3:Visualizing and Exploring Data,Chapter 2.5 The Form of Data p 41-44)
• David Hand, Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,KDD-2002,Edmonton, Alberta, Canada ed. by David Hand ,New York,ACM,2002
• Jiawei Han,Micheline Kamber,Data Mining,Concepts and Techniques, San Francisco,Calif.,Morgan Kaufmann, 2001
  (Chapter 4.3 Designing GUI Based on a Data Mining Query Language)
• Specification of Visual Data Mining and user interface,Deliverable7,INTERMON Consortia, www.ist-intermon.org, December, 2002.
• Advanced architecture for INTER-domain quality of service MONitoring, modelling and visualisation, INTERMON-IST-2001-3412 http://www.ist-intermon.org.
• Jung,V. :Integrierte Benutzerunterstützung für die Visualisierung in Geo-Informationssystemen. Dissertationen am Fachbereich Informatik Fachbereich GRIS, TU Darmstadt, Fraunhofer IRB Verlag, Stuttgart, 1998
• E.Keogh,H.Hochheiser,B.Shneiderman,An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data, Proc. Fifth International Conference on Flexible Query Answering Systems,Copenhagen, Denmark, October 2002
• M.Kreuseler,H.Schumann,A Flexible Approach for Visual Data Mining,IEEE Transactions on visualization and Computer Graphics,Vol.8,March 2002
• J.Komorowski,Principles of data mining and knowledge discovery : first European Symposium, PKDD'97,Trondheim, Norway, June,1997,proceedings,Berlin Springer,(Lecture notes in computer science),1997
• Visual Data Mining Wokshop,KDD Woskshop Report,
  http://www.inf.uni-konstanz.de/~keim/KDD_Woskshop/KDD_Proceedings.pdf
• M.Livny,R.Ramakrishnan,J.Myllymaki, Visual exploration of large data sets, in Proc. of SPIE,Int. Soc. Opt. Eng., vol. 2657, San Jose, CA, Jan. 1996
• I. Miloucheva, A. Anzaloni, E. Müller, A practical approach for QoS forecasting considering outliers, Inter-domain performance and simulation Workshop, IPS 2003, February, 2003.
• I. Miloucheva,Spatio-Temporal QoS Analysis of multimedia traffic in large scale Internet environment,2003
• S. Michaelis, J. Seger, Concept of configurable filters for Visual Data Mining System, Inter-domain performance and simulation Workshop, IPS 2003, February, 2003.
• Moxon, Bruce: Defining Data Mining, in: DBMS Data Warehouse Supplement, August 1996
• Mackinglay, J: Automating the Design of Graphical Presentation of Relational Information. ACM Transactions on Graphics, Vol. 5, Nr. 2, April 1986, P. 110-141
• Ncsa Homepage,3D Visualization Tool for Time Series Data, http://www.ncsa.uiuc.edu,
• Robertson, P.K. ; De Ferrari, L. : Systematic approaches to visualization: is a reference model needed. In: Rosenblum u.a. (eds): Scientific Visualization. Academic Press, Los Alamitos, 1994, P. 287-305
• R. Koodli, R. Ravikant, One-way Loss Pattern Sample Metrics Author(s): Status: Informational Date: August 2002, URL: ftp://ftp.rfc-editor.org/in-notes/rfc3357.txt
• B.Schneiderman,The Eyes Have it,A Task by Data Type Taxonomy for Information Visualization,Proc IEEE Symposium on Visual Languages,Los Alarnitos,1996
• B.Schneiderman,Designing the User Interface,Addison Wesley,MA,1997
• S.Silva,T.Catarci,Visualization of Linear Time Oriented Data:A survey,in Proc of the First international conference on Web information Systems Eingineerings(wise’00),Hong Kong,June 2000
• Schuhmann, H.; Müller W.: Visualisierung -> Grundlagen und allgemeine Methoden; Springer Verlag Berlin Heidelberg 2000
• E.Tufte,The Visual Display of Quantitative Information,Graphic Press,1983
• Time-Searcher,Visual Exploration of Time Series data,http://www.cs.umd.edu/hcil/timesearcher/
• International Workshop on Visual Data Mining in conjunction with ECML/PKDD2001 – 2nd European Conference on Machine Learning and 5th European Conference on Principles and Practice of Knowledge Discovery in Databases, September 2001
• J.Wijk,E.Selow,Cluster and Calendar based Visualization of Time Series Data, IEEE Symposium on Information Visualization,San Francisco,October 25-26,1999
• Wood, J.; Broodlie, K.; Wright, H.: Visualisation Over The WorldWideWeb And Its Application to Environmental Data. Proceedings Visualization’96, IEEE Computer Society Press, Los Alamitos, 1996, P. 81-86
• W3C-Word Wide Web Consortium, http://www.w3c.org