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A. Aiken, J. Chen, M. Stonebraker, and A. Woodruff. Tioga-2: A direct manipulation database visualization environment. In Proceedings of the 12th International Conference on Data Engineering, pages 208--217, New Orleans, Louisiana, February 1996.

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Using Visualization To Understand The Behavior Of Computer Systems - Bosch, Jr. (2001)   (Correct)

....However, as has been discussed in Goldstein et al. 21] and Gray et al. 22] the SQL query mechanism is limited and does not easily support the full range of visualization tasks, especially summarization and aggregation. Visual programming and query by example systems such as Tioga 2 [4] and VQE [16] provide data transformations internal to the visualization environment. However, their transformation sets are not extensible by the user, and the existing transformations must be sufficiently simple to support the paradigm of visual programming. IDES [21] and DEVise [36] are both ....

....which data field is encoded into a particular spatial or retinal property. Related work The explicit mapping of individual data tuples directly to visual primitives first appeared in the APT [38] system, and has been used in numerous systems since, including Visage [49] DEVise [36] and Tioga 2 [4]. However, the use of selectors to map sets of tuples to different visual primitives is unique to the Rivet visualization environment. The use of encodings to parameterize visual metaphors and primitives is another innovation of the APT system. In APT and in subsequent systems such as Visage, ....

Alexander Aiken, Jolly Chen, Michael Stonebraker, and Allison Woodruff. Tioga-2: A direct manipulation database visualization environment. In Proceedings of the IEEE Conference on Data Engineering


Online Dynamic Reordering - Raman, Raman, Hellerstein (2000)   (2 citations)  (Correct)

.... refining them based on feedback and domain knowledge (see [O day and Jeffries 1993] for a user study in a business data processing environment) Unfortunately, current data processing applications such as decision support querying [Chaudhuri and Dayal 1997] and scientific data visualization [Aiken et al. 1996; Livny et al. 1997] typically run in batch mode; the user enters a request, the system runs for a long time without any feedback, and then returns an answer. These queries typically scan large amounts of data, and the resulting long delays disrupt the user s concentration and hamper interactive ....

Aiken, A., Chen, J., Stonebraker, M., and Woodruff, A. Tioga-2: A direct-manipulation database visualization environment. In Proc. Intl. Cong. on Data Engineering, 1996.


An Agent-based Approach to Data Summarization for Query.. - Parvathi Chundi Daniel   (Correct)

....database, and the user can navigate around this display. The user can zoom in on icons and see more detailed information. The database administrator can define abstractions which correspond to groups of data elements; a user can then navigate among the groups and zoom in on a given group. Tioga 2 [ACSW96] is a system that support visualization of database information. A visualization is specified via a boxes and arrows dataflow diagram in which the arrows represent data and the boxes represent operations. There are facilities for making composites and groups and for zooming in to obtain more ....

A. Aiken, J. Chen, M. Stonebraker, and A. Woodruff. Tioga-2: A direct manipulation database visualization environment. In Proceedings 1996 Twelfth International Conference on Data Engineering, pages 208--217, New Orleans, LA, February 1996.


SEE: A Spatial Exploration Environment Based on a.. - Kaushik, Rundensteiner (1998)   (Correct)

....require users to learn the syntax of the language, and also be aware of the schema and content of the database before specifying queries. On the other hand, this direct manipulation environment allows users to explore the database even without knowing what exactly they are looking for. Tioga 2 [ACSW96] Spotfire [Ahl96] VisDB [KK94] are also other examples of such visual exploration systems. These systems employ dynamic queries and interactive information visualization techniques for information retrieval. These systems however do not deal with special purpose data types such as spatial and ....

....surprisingly little has been done thus far in applying the direct manipulation paradigm to spatial environments. Visual query environments based on the VIS paradigms [Shn92] feature a dynamic querying mechanism and a graphical display of results are typically restricted to simple numeric domains [ACSW96] DKR97] The Dynamic Homefinder, a Real Estate Information Exploration System based on VIS principles [WS92] allows users to search for a house that meets their criteria by manipulating sliders for different simple numeric input parameters (such as number of rooms and price) and to get a visual ....

[Article contains additional citation context not shown here]

A. Aiken, J. Chen, M. Stonebraker, and A. Woodruff. Tioga-2: A direct manipulation database visualization environment. IEEE Int. Conf. on Data Eng., pages 208--217, 1996.


Online Processing Redux - Hellerstein   (1 citation)  (Correct)

....be unnecessary. The code underneath these widgets would need to process data using the kinds of techniques described in Section 3. 2. 4 Online Data Visualization Data visualization is an increasingly active research area, with some impressive prototypes under development (e.g. Tioga Datasplash [ACSW96] DEVise [LRB 97] Pad [PF93] These systems are all interactive, allowing users to pan and zoom in datasets, and derive and view new visualizations quickly. An inherent challenge in architecting a data visualization system is that it must present large volumes of information ....

Alexander Aiken, Jolly Chen, Michael Stonebraker, and Allison Woodruff. Tioga-2: A directmanipulation database visualization environment. In Proc. 12th IEEE International Conference on Data Engineering, pages 208--217, New Orleans, February 1996.


Online Aggregation - Hellerstein, Haas, Wang (1997)   (143 citations)  (Correct)

....aggregation is motivated by the need for better user interfaces, and it is clear that additional work is needed in this area. One direction we plan to pursue is to present running plots of queries on a 2 dimensional canvas, as exemplified by the (batch) visualization system Tioga DataSplash [ACSW96] In such a system, one can view the screen as a graphical aggregate many data items are aggregated into one progressively refined image. Techniques for storing and presenting progressive refinements of images are well understood [VU92] and exploited by popular web browsers. It would be ....

A. Aiken, J. Chen, M. Stonebraker, and A. Woodruff. Tioga-2: A direct manipulationdatabase visualization environment. In Proc. of the 12th Intl. Conf. Data Engineering, pages 208--217, New Orleans, February 1996.


Supporting Fine-Grained Data Lineage in a Database.. - Allison Woodruff And (1997)   (21 citations)  Self-citation (Stonebraker Woodruff)   (Correct)

....for our discussion, we use accents to distinguish particular functions or images, e.g. f , f,and f. 3. Concrete model This section applies the concepts of the abstract model to our environment. Weak inversion and verification are being implemented in the Tioga database visualizer [11][1]. Tioga adopts the boxes and arrows programming paradigm popularized by AVS [14] Data Explorer [7] and Khoros [10] Every box is a user defined function and arrows represent the flow of data between these functions. Certain boxes are database browsers which visualize data and display it to the ....

A. Aiken, J. Chen, M. Stonebraker, and A. Woodruff. Tioga2: A direct manipulation database visualization environment. In Proc. 12th Int. Conf. on Data Engineering, pages 208--17, New Orleans, LA, Feb. 1996.


Getting Portals to Behave - Olston, Woodruff   (2 citations)  Self-citation (Woodruff)   (Correct)

....associated with behaviors that do not follow our recommendations. Keywords: Portals, Multiple Views, Data Visualization. 1 Introduction Recently, much attention has been devoted to data visualization environments that permit interactive browsing of graphical representations of large data sets [1, 2, 3, 4, 8, 9, 12, 13]. Many of these environments present a twodimensional infinite canvas 1 of graphical data through which the user can navigate to interactively browse the data. Interactive browsing can be a powerful way to understand and analyze data. To further facilitate browsing and analysis, many ....

....canvas 1 of graphical data through which the user can navigate to interactively browse the data. Interactive browsing can be a powerful way to understand and analyze data. To further facilitate browsing and analysis, many visualization environments have special features known as portals [2, 3, 12, 13], 2 which are # Supported by a National Science Foundation graduate research fellowship. 1 Called a surface in Pad [13] 2 Portals have many names, including wormholes in Tioga 2 [2] the predecessor to DataSplash. sub windows of a data canvas. Portals provide a way to display multiple ....

[Article contains additional citation context not shown here]

A. Aiken, J. Chen, M. Stonebraker, and A. Woodruff. Tioga-2: A direct manipulation database visualization environment. In Proceedings of the 12th International Conference on Data Engineering, pages 208--217, New Orleans, Louisiana, February 1996.


Data Lineage and Information Density in Database Visualization - Woodruff (1998)   Self-citation (Stonebraker Woodruff)   (Correct)

....next subsection, we outline one such system, which provides the context for our solution. 1.2.2 The DataSplash environment In this subsection, we describe the DataSplash environment. DataSplash is a direct manipulation semantic zoom system in which users can construct and navigate visualizations [2]. This system has been implemented on top of the POSTGRES object relational database management system [43] and released as freely available software [35] In DataSplash, all objects in a canvas are organized into layers. Each object is a member of exactly one layer. Each layer is associated with ....

....an approximate measure of accuracy. For simplicity, during the rest of the chapter we consider only cases in which we compare two pure or two complete sets. 39 3. 3 Concrete model This section applies the concepts of the abstract model to a specific environment, the Tioga database visualizer [41, 2]. As described previously, Tioga adopts the boxes andarrows programming paradigm popularized by AVS [49] Data Explorer [25] and Khoros [34] Every box is a user defined function and arrows represent the flow of data between these functions. Certain boxes are database browsers that visualize data ....

[Article contains additional citation context not shown here]

A. Aiken, J. Chen, M. Stonebraker, and A. Woodruff. Tioga-2: a direct manipulation database visualization environment. In Proc. 12th Int. Conf. on Data Engineering, pages 208--17, New Orleans, Louisiana, February 1996.


Supporting Fine-Grained Data Lineage in a Database.. - Woodruff, Stonebraker (1997)   (21 citations)  Self-citation (Stonebraker Woodruff)   (Correct)

....for our discussion, we use accents to distinguish particular functions or images, e.g. f , f , and f . 3. Concrete model This section applies the concepts of the abstract model to our environment. Weak inversion and verification are being implemented in the Tioga database visualizer [11][1]. Tioga adopts the boxes and arrows programming paradigm popularized by AVS [14] Data Explorer [7] and Khoros [10] Every box is a user defined function and arrows represent the flow of data between these functions. Certain boxes are database browsers which visualize data and display it to the ....

A. Aiken, J. Chen, M. Stonebraker, and A. Woodruff. Tioga2: A direct manipulation database visualization environment. In Proc. 12th Int. Conf. on Data Engineering, pages 208--17, New Orleans, LA, Feb. 1996.


DEVise: Integrated Querying and Visual Exploration.. - Livny.. (1997)   (43 citations)  Self-citation (Chen)   (Correct)

....to run entirely in main memory; such an assumption limits the ability of the tool to go back to the source data record from its visual presentation. Recently, the Tioga project at Berkeley and the DataSpace project at Bell Labs [11] have also addressed the problem of visualizing large datasets [12, 1], which is indicative of the growing importance being attached to this issue. Their approach, however, differs from ours in important ways. DataSpace is not as flexible in terms of the kinds of visualizations that can be developed, although it supports 3D presentations much better than DEVise (at ....

Alexander Aiken, Jolly Chen, Michael Stonebraker, and Allison Woodruff. Tioga-2: A direct manipulation database visualization environment. In Proc. International Conference on Data Engineering, New Orleans, LA, February 1996.


A Spatial Model for Nested Multiscale Interfaces - Chris Olston Stanford   (Correct)

No context found.

A. Aiken, J. Chen, M. Stonebraker, and A. Woodruff. Tioga-2: A direct manipulation database visualization environment. In Proceedings of the 12th International Conference on Data Engineering, pages 208--217, New Orleans, Louisiana, February 1996.


Online Dynamic Reordering for Interactive Data Processing - Vijayshankar Raman Bhaskaran (1999)   (16 citations)  (Correct)

No context found.

A. Aiken et al. Tioga-2: A direct-manipulation database visualization environment. In ICDE, 1996.


ORRIL: A Simple Building Blocks Approach to Zoomable User.. - Mike Bennett Media (2004)   (Correct)

No context found.

Aiken, A., Chen, J., Stonebraker, M., and Woodruff, A. Tioga-2: A Direct Manipulation Database Visualization Environment. Proc. of the 12th International Conference on Data Engineering, 1996, p. 208-217.


A Spatial Model for Nested Multiscale Interfaces - Chris Olston Stanford   (Correct)

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A. Aiken, J. Chen, M. Stonebraker, and A. Woodruff. Tioga-2: A direct manipulation database visualization environment. In Proceedings of the 12th International Conference on Data Engineering, pages 208--217, New Orleans, Louisiana, February 1996.


Polaris: A System for Query, Analysis and Visualization of.. - Stolte, Hanrahan (2002)   (1 citation)  (Correct)

No context found.

A. Aiken, J. Chen, M. Stonebraker, and A. Woodruff. Tioga-2: A Direct Manipulation Database Visualization Environment. In Proc. of the 12 Conference on Data Engineering, February 1996, pp. 208-217.


The Rubicon workload characterization tool - Veitch, Keeton (2001)   (2 citations)  (Correct)

No context found.

A. Aiken, J. Chen, M. Stonebraker and A. Woodruff. Tioga-2: a direct manipulation database visualization environment. Proc. Intl. Conf. on Data Engineering, February 1996. 15


Polaris: A System for Query, Analysis and Visualization of.. - Stolte, Hanrahan (2002)   (1 citation)  (Correct)

No context found.

A. Aiken, J. Chen, M. Stonebraker, and A. Woodruff. Tioga-2: A Direct Manipulation Database Visualization Environment. In Proc. of the 12 Conference on Data Engineering, February 1996, pp. 208-217.

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