Links:

Reading List (selected publications)

• [ 1] Hochheiser, H.,
  Interactive Graphical Querying of Time Series and Linear Sequence Data Sets,
  Ph.D. thesis, Department of Computer Science, University of Maryland, College Park, MD, May 2003.
• [ 2] Silva, S.F., Catarci, T.,
  Visualization of Linear Time-Oriented Data: A Survey,
  In Proceedings of the First International Conference on Web Information Systems Engineering, Vol.1, 2000, 310-319.
• [ 3] Keogh, E., Hochheiser, H. and Shneiderman, B.,
  An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data,
  In: T Andreasen et al (Eds), Proceedings of the 5th International Conference on Flexible Query Answering Systems, pp. 240-250. October 27 - 29, 2002, Copenhagen, Denmark. Springer, LNAI 2522, 2002.
• [ 4] Hochheiser, H., Shneiderman, B.,
  Dynamic query tools for time series data sets: timebox widgets for interactive exploration,
  In Information Visualization, Vol.3, Issue 1, Spring 2004, 1-18.
  [link]   source: Catherine, Jinwook
• [ 5] Carlis, J.V., Konstan, J.A.,
  Interactive Visualization of Serial Periodic Data,
  In Proc. of ACM UIST'98, San Francisco, CA, pp.29-38, 1998.
  [ download]   source:[02].9
• [ 6] Chi, E.H.,
  Visualizing the Evolution of Web Ecologies,
  In Proc. of ACM CHI'98, Los Angeles, CA, pp.400-407, 1998.
  [ download]   source:[02].12
• [ 7] Karam, G.M.,
  Visualization Using Timelines,
  In Proc. of Intl Symposium on Software Testing and Analysis (ISSTA),1994, also in SIGSOFT, ACM Software Engineering Notes, 1994.
  source: [02].24
• [ 8] Keim, D.,
  Pixel-Oriented Database Visualizations,
  SIGMOD Record, Special Issue on Information Visualization, pp.35-39, 1996.
  source: [02].28
• [ 9] Wattenberg, M.,
  Sketching a Graph to Query a Time-Series Database,
  In Proceedings of the 2001 Conference Human Factors in Computing Systems, Extended Abstracts, pp.381-382, Seattle WA, March 31-April 5, 2001. ACM Press.
  [ download]   source: [03].20
• [10] Harrison, B.L., Owen, R., Baecker, R.M.,
  Timelines: An Interactive System for the Collection and Visualization of Temporal Data,
  In Proc. of Graphics Interface 94. Canadian Info. Processing Society, 1994.
  [ download]   source:[02].23
• [ 11] Inselberg, A.,
  Multidimensional detective,
  IEEE Conference on Information Visualization, pp.100-107, Phoenix AZ, October 1997.
  [ download]   source:[03].10
  
• [ 12] Caroline Fisher, Penelope Sanderson,
  Exploratory sequential data analysis: exploring continuous observational data,
  Interactions, v.3 n.2, pp.25-34, March 1996
  source: none
• [13] Powsner, S., Tufte, E.,
  Graphical summary of patient status,
  The Lancet, 344:386-389, 1994.
  [link]   source: [1].102
• [ 14] Keim, A. D.,
  Enhancing the Visual Clustering of Query-Dependent Database Visualization techniques Using Screen-Filling Curves,
  In Proceedings of the IEEE '95 Workshop on Database Issues for Data Visualization, Wierse, A., et al, Eds., Springer Verlag, pp.101-110, 1995.
  [ citeseer-Extended Abstract 1-6]   source: [5].10
• [ 15] Card, S. K., Mackinlay, J.,
  The structure of the information visualization design space,
  InfoVis'97, IEEE Symposium on Information Visualization, pp.92-100, 1997.
  [citeseer]   source: [6].5
• [ 16] Hascoët, M.,
  Analytical versus empirical evaluation of spatial displays,
  In CHI 98 Conference Summary, pp.257-258, 1998.
  source: [5].9
• [ 17] Freeman, E., Gelernter, D., E. Freeman and D. Gelernter, Lifestreams: A storage model for personal data, SIGMOD Record (ACM Special Interest Group on Management of Data), 25(1), pp.80-86, March 1996.
  [citeseer]   source: [1].50
• [ 18] Mackinlay, J.D., Robertson, G.G., and Card, S.K.,
  The perspective wall: detail and context smoothly integrated,
  In Proceedings of CHI '91, pp.173-179, 1991.
  source: [5].16
• [ 19] Berry, L., Munzner, T.,
  BinX: Dynamic Exploration of Time Series Datasets Accross Aggregation Levels,
  In IEEE Information Visualization 2004, Posters Compendium, pp.5-6.
  [download]   source: e-mail
• [ 20] Chuah, M.C.,
  Dynamic aggregation with circular visual designs,
  IEEE Symposium on Information Visualization, 35-43, 1998.
  source: [19].1 Remarks: rsFl05.[08].23
• [ 21] Bettini, C.,
  A Glossary of Time Granularity Concepts,
  In Temporal Databases: Research and Practice, Etzion et al. (Eds), Springer, pp.406-413, 1998.
  [download]   source: [2].7
• [ 22] Furnas, G.W., Bederson, B.B.,
  Space-Scale Diagrams: Understanding multiscale interfaces,
  In Proceedings, CHI95, Human Factors in Computing Systems, 1995. [download]   source: lior berry's report.11
• [ 23] Van Wijk, J.J., Van Selow, E.R.,
  Cluster and Calendar Based Visualization of Time Series Data,
  In Proceedings of the 1999 IEEE Symposium on Information Visualization , pp.4-9.
  [download]   source: [19].4
• [ 24] Lior, B.,
  BinX - Dynamic Exploration of time series,
  CPSC 533, Course Project Report, pp.1-16, 2004.
  [download]   source: google
• [ 25] North, C., Shneiderman, B.,
  Snap-together visualization: a user interface for coordinating visualizations via relational schemata,
  In Proceedings of the working conference on Advanced visual interfaces , 2000, pp.128-135.
    source: [1].94
• [ 26] Allen, R.B.,
  Interactive Timelines as Information System Interfaces,
  In Symposium on Digital Libraries, Japan, pp.175-180, 1995.
  [link]   source: [2].2
• [ 27] Agrawal, R., Lin, K., Sawhney, H.S., Shim, K.,
  Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases,
  In The VLDB Journal, pp.490-501, 1995.
  [download] [notes 27]   source: [1].4
• [ 28] Frederikson, A., North, C., Plaisant, C., Shneiderman, B.,
  Temporal, geographical and categorical aggregations viewed through coordinated displays: a case study with highway incident data
  In Proceedings of the 1999 workshop on new paradigms in information visualization and manipulation, pp.26-34, 1999.
  [notes 28]   source: [25].[FNP99]
• [ 29] Wolfgang, M., Schumann, H.,
  Visualization methods for time-dependent data,
  In Proceedings of the 2003 Winter Simulation Conference, pp.737-746, 2003.
  [ download]   source: [24].1 [notes 29]
• [ 30] Zellweger, P.T., Mackinlay, J.D., Good, L., Stefik, M.J., Baudish, P.,
  City lights: contextual views in minimal space,
  In ACM Human factors in computing systems (CHI 2003), Extended Abstracts, pp.838-839, 2003.
  [notes 30]   source: [24].6
• [ 31] Tang, L., Shneiderman, B.,
  Dynamic Aggregation to Support Pattern Discovery: A Case Study with Web Logs,
  In Proceedings of the 4th International Conference on Discovery Science, pp.464-469, 2001.
  [download] [notes 31]   source: [24].10
• [ 32] Lieberman, H.,
  Powers of ten thousand: navigating in large information spaces ,
  In Proceedings of the 7th annual ACM symposium on User interface software and technology, pp.15-16, 1994.
  [notes 32]   source: [22].7
• [ 33] Bederson, B.B., Hollan, J.D.,
  Pad++: a zooming graphical interface for exploring alternate interface physics,
  In Proceedings of the 7th annual ACM symposium on User interface software and technology, pp.17-26, 1994.
  [notes 33]   source: [22].2
• [ 34] Brodbeck, D., Girardin, L.,
  Trend Analysis in Large Timeseries of High-Throughput Screening Data Using a Distortion-Oriented Lens with Semantic Zooming,
  In IEEE Symposium on Information Visualization (InfoVis 2003), Seattle, October 19-21, 2003.
  [download] [notes 34]   source: Catherine
• [ 35-] Ziv-Bar Joseph,
  Analyzing time series gene expression data,
  In Bioinformatics, 20(16), 2004.
  [link] [ Ziv CompBio] [notes 35]   source: e-mail from BenS dated Sat, 13 Nov 2004 10:29:55 -0500
• [ 36-] Troyanskaya O, Cantor M, Sherlock G, Brown P, Hastie T, Tibshirani R, Botstein D, Altman RB,
  Missing value estimation methods for DNA microarrays,
  In Bioinformatics, 2001 Jun;17(6):520-5.
  [ link] [notes 36]   source: e-mail from BenS dated Wed, November 17, 2004 5:25 PM
• [ 37] Time Series Analysis,
  Tutorial, pp.1-17.
  [ link] [notes 37]   source: e-mail from BenS dated Wed, November 17, 2004 5:25 PM
• [ 38] Lin, J., Keogh, E., Lonardi, S., Lankford, J.P., Nystrom, D.M.,
  Visually Mining and Monitoring Massive Time Series,
  In Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining, pp.460-469, 2004.
    source: unknown (Paolo?)
• [ 39] Fu, T. C., Chung, F. L., Ng, V., Luk, R.,
  Pattern Discovery from Stock Time Series Using Self-Organizing Maps,
  In Workshop Notes of KDD2001 Workshop on Temporal Data Mining, San Francisco, CA, Aug 26-29, pp.27-37, 2001.
    source: unknown (Paolo?)
• [ 40] Shmueli, G., Jank, Wolfgang,
  Visualizing Online Auctions,
  Technical Report, Working Paper, Smith School of Business, University of Maryland, 2004.
  [ download]   source: Galit
• [ 41] Eick, S.G.,
  Visual discovery and analysis,
  In IEEE Transactions on Visualization and Computer Graphics, Volume: 6, Issue: 1, Jan.-March 2000, pp.44-58.
  [link]   source: [40].7
• [ 42] Lin, J., Keogh, E., Lonardi, S., Chiu, B.,
  A Symbolic Representation of Time Series, with Implications for Streaming Algorithms,
  In Workshop on Research Issues in Data Mining and Knowledge Discovery, the 8th ACM SIGMOD, pp.2-11, San Diego, CA. June 13, 2003.
  [download]   source: [38].29
• [ 43] Shatkay, H., Zdonik, S.B.,
  Approximate queries and representations for large data sequences,
  In Proc. of the Int. Conf. on Data Engineering (ICDE96), pp.536-545, 1996.
  [link]   source: [39].21
• [ 44] Wu, H., Salzberg, B., Zhang, D.,
  Online event-driven subsequence matching over financial data streams,
  In Proceedings of the 2004 ACM SIGMOD international conference on Management of data, pp.23-34, 2004.
    source: unknown (Paolo?)
• [ 45] Keogh, E.J.,
  Efficiently Finding Arbitrarily Scaled Patterns in Massive Time Series Databases,
  In PKDD, pp.253-265, 2003.
  [link] [24 @ DBLP]   source: Paolo
• [ 46] Bar-Joseph, Z., Gerber, G., Gifford, D.K.,
  Continuous Representations of Time Series Gene Expression Data,
  In Journal of Computational Biology, 10(3-4):241--256, 2003.
  [ download] [link]   source: e-mail from Galit dated Mon, 15 Nov 2004 10:04:25 -0500

Candidates
• A Knowledge Task-Based Framework for Design and Evaluation of Information Visualizations ... (infovis04 best paper) http://www.cc.gatech.edu/~john.stasko/papers/infovis04.pdf
• The Movable Filter as a User Interface Tool [20].10
• Clustering of streaming time series is meaningless; SIGMOD Keogh's Paper
• the Table Lens; CHI'94 [5].20, 6/10
• FOCUS: The interactive table for product comparison and; UIST 96 [5].25, 6/10
• Lifelines;CHI'96 [5].19, 6/10
• Laying out and visualizing large trees using a hypoerbolic space; UIST'94 [5].12, 6/10
• The document lens; UIST '93 [5].22, 5/10
• Enhancing the Visual Clustering of; CHI'94 [5].10, 8/10
• A tool for World Wide Web access log visualization [6].14, 6/10
• [3] Research Report: Interacting with Huge Hierarchies: Beyond Cone Trees J. Carriere, R. Kazman. Proc. of Information Visualization '95, p. 74-81 [6].6, 7/10
• Multidimensional detective [ download] [03].10

Links to find tutorials, important people and resources
• Daniel A. Keim

TimeSearcher related
• Harry's Journal Paper
• On the Need for Time Series Data Mining Benchmarks
• Pattern Discovery from Stock Time Series Using Self-Organizing Maps