by Chu, Hong Ki. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (leaves 75-79). / Abstracts in English and Chinese. / Acknowledgments --- p.ii / Abstract --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Problem Definitions --- p.3 / Chapter 1.2 --- Experimental Setup --- p.5 / Chapter 1.3 --- Outline of the thesis --- p.6 / Chapter 2 --- Survey on Previous Researches --- p.8 / Chapter 2.1 --- Association rules --- p.8 / Chapter 2.2 --- Clustering --- p.10 / Chapter 2.3 --- Motivation --- p.12 / Chapter 3 --- ID AN on discovering quantitative association rules --- p.16 / Chapter 3.1 --- Briefing --- p.17 / Chapter 3.2 --- A-Tree --- p.18 / Chapter 3.3 --- Insertion Algorithm --- p.25 / Chapter 3.4 --- Visualizing Association Rules --- p.28 / Chapter 4 --- ID AN on discovering patterns of clustering --- p.34 / Chapter 4.1 --- Briefing --- p.34 / Chapter 4.2 --- A-Tree --- p.36 / Chapter 4.3 --- Dimensionality Curse --- p.37 / Chapter 4.3.1 --- Discrete Fourier Transform --- p.38 / Chapter 4.3.2 --- Discrete Wavelet Transform --- p.40 / Chapter 4.3.3 --- Singular Value Decomposition --- p.42 / Chapter 4.4 --- IDAN - Algorithm --- p.45 / Chapter 4.5 --- Visualizing clustering patterns --- p.49 / Chapter 4.6 --- Comparison --- p.51 / Chapter 5 --- Performance Studies --- p.55 / Chapter 5.1 --- Association Rules --- p.55 / Chapter 5.2 --- Clustering --- p.58 / Chapter 6 --- Survey on data visualization techniques --- p.63 / Chapter 6.1 --- Geometric Projection Techniques --- p.64 / Chapter 6.1.1 --- Scatter-plot Matrix --- p.64 / Chapter 6.1.2 --- Parallel Coordinates --- p.65 / Chapter 6.2 --- Icon-based Techniques --- p.67 / Chapter 6.2.1 --- Chernoff Face --- p.67 / Chapter 6.2.2 --- Stick Figures --- p.68 / Chapter 6.3 --- Pixel-oriented Techniques --- p.70 / Chapter 6.4 --- Hierarchical Techniques --- p.72 / Chapter 7 --- Conclusion --- p.73 / Bibliography --- p.74

The topic of diploma thesis is the use of visualization as a part of data analytics in international companies, with main focus on new and upcoming trends in this dynamically developing field. After a review of both historic and present situation of data visualization field we proceed to clarification of visualization process and specific forms, methods and techniques which are based on scientific facts regarding human visual perception. This leads to the next section, which is devoted to visualization tools currently available on the market, analysis of selected tools and practical examination of business users' awareness of available visualization tools and their features. In the last section we introduce selected current and upcoming development trends in the field.

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Thesis (Ph. D.)--Ohio State University, 2005. / Title from first page of PDF file. Document formatted into pages; contains xiv, 126 p.; also includes graphics. Includes bibliographical references (p. 119-126). Available online via OhioLINK's ETD Center

This thesis deals with the area of Business Intelligence and especially the part of data quality. The goal is provide an overview of data quality issue and possible ways the data can be shown to have better and more engaging informative value. Another goal was to make a proposal solution to the visualization of the system state, particularly the section of data quality, at the concrete enterprise. The output of this thesis should provide a quideline for the implementation of the proposed solution.

The thesis addresses the problem of capturing and tracking multi-user interpretations of 3D spatial datasets. These interpretations are completed after the end of the visualization pipeline to identify and extract features of interest, and are subjective to human intuition and knowledge. Users may also assess regions of these interpretations. Consequently, the thesis proposes a provenance-enabled interpretation pipeline. It adopts and extends the W3C PROV data model, producing a provenance model for visual interpretations. This was implemented for seismic imaging interpretation in a proof-of-concept prototype architecture and application. Accumulation of users' interpretations and annotations are captured by the provenance model in a fine-grained form. The captured provenance information can be utilised to filter data. The work of this thesis was evaluated in three parts. First, a usability evaluation by geoscientists was conducted by postgraduate students in the field of geoscience to illustrate the system's ability in allowing users to amend others' interpretations and trace the history of amendments. Second, a conceptual evaluation of this research was approached by interviewing domain experts. The importance of this research to the industry was assured. Interviewees perceived and shared potential implementations of this work in the workflow of seismic interpretation. Limitations and concerns of the work were highlighted. Third, a performance evaluation was conducted to illustrate the behaviour of the architecture on commodity machines as well as on a multi-node parallel database, such that a new functionality in fine-grained provenance can be implemented simply but with an acceptable performance in realistic visualization tasks. The measures suggested that the current implementation achieved an acceptable performance in comparison to conventional methods. The proposed provenance model in an interpretation pipeline is believed to be a promising shift in methods of data management and storage which can record and preserve interpretations by users as a result of visualization. The approach and software development in this thesis represented a step in this direction.

This thesis evaluates the viability of a data cube as a basis for visualization of unbounded data. A cube designed for use with visualization of static data was adapted to allow for point-by-point insertions. The new cube was evaluated by measuring the time it took to insert different numbers of data points. The results indicate that the cube can keep up with data streams with a velocity of up to approximately 100 000 data points per second. The conclusion is that the cube is useful if the velocity of the data stream is within this bound, and if the granularity of the represented dimensions is sufficiently low. / Det här exjobbet utvärderar dugligheten av en datakub som bas för visualisering av obegränsad data. En kub designad för användning till visualisering av statisk data anpassades till att medge insättning punkt för punkt. Den nya kuben evaluerades genom att mäta tiden det tog att sätta in olika antal datapunkter. Resultaten indikerade att kuben kan hantera dataströmmar med en hastighet på upp till 100 000 punkter per sekund. Slutsatsen är att kuben är användbar om hastigheten av dataströmmen är inom denna gräns, och om grovheten av de representerade dimensionerna är tillräckligt hög.

Analyzing modern day's information systems that produce humongous multi-dimensional data in form of logs, traces or events that unfold over time can be tedious without adequate visualization, thereby, advocating the need for an intelligible visualization. This thesis researched and developed a visualization framework that represents multi-dimensional dynamic and temporal process data in a potentially intelligible and actionable form. A prototype showing four different views using notional malware data abstracted from Normal Sandbox behavioral traces were developed. In particular, the B-matrix view representing the DLL files used by the malware to attack a system. This representation is aimed at visualizing large data sets without losing emphasis on the process unfolding over multiple dimensions.

by Song Zou. / Year shown on spine: 1997. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references (leaves 69-[72]). / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Related works --- p.7 / Chapter 2.1 --- Spatial domain methods --- p.8 / Chapter 2.2 --- Transformation based methods --- p.9 / Chapter 2.3 --- Parallel Implement ation --- p.10 / Chapter 3 --- Parallel computation model --- p.12 / Chapter 3.1 --- Introduction --- p.12 / Chapter 3.2 --- Classifications of Parallel Computers --- p.13 / Chapter 3.3 --- The SIMD machine architectures --- p.15 / Chapter 3.4 --- The communication within the parallel processors --- p.16 / Chapter 3.5 --- The parallel display mechanisms --- p.17 / Chapter 4 --- Data preparation --- p.20 / Chapter 4.1 --- Introduction --- p.20 / Chapter 4.2 --- Original data layout in the processor array --- p.21 / Chapter 4.3 --- Shading --- p.21 / Chapter 4.4 --- Classification --- p.23 / Chapter 5 --- Fast data parallel rotation and resampling algorithms --- p.25 / Chapter 5.1 --- Introduction --- p.25 / Chapter 5.2 --- Affine Transformation --- p.26 / Chapter 5.3 --- Related works --- p.28 / Chapter 5.3.1 --- Resampling in ray tracing --- p.28 / Chapter 5.3.2 --- Direct Rotation --- p.28 / Chapter 5.3.3 --- General resampling approaches --- p.29 / Chapter 5.3.4 --- Rotation by shear --- p.29 / Chapter 5.4 --- The minimum mismatch rotation --- p.31 / Chapter 5.5 --- Load balancing --- p.33 / Chapter 5.6 --- Resampling algorithm --- p.35 / Chapter 5.6.1 --- Nearest neighbor --- p.36 / Chapter 5.6.2 --- Linear Interpolation --- p.36 / Chapter 5.6.3 --- Aitken's Algorithm --- p.38 / Chapter 5.6.4 --- Polynomial resampling in 3D --- p.40 / Chapter 5.7 --- A comparison between the resampling algorithms --- p.40 / Chapter 5.7.1 --- The quality --- p.42 / Chapter 5.7.2 --- Implement ation and cost --- p.44 / Chapter 6 --- Data reordering using binary swap --- p.47 / Chapter 6.1 --- The sorting algorithm --- p.48 / Chapter 6.2 --- The communication cost --- p.51 / Chapter 7 --- Ray composition --- p.53 / Chapter 7.1 --- Introduction --- p.53 / Chapter 7.2 --- Ray Composition by Monte Carlo Method --- p.54 / Chapter 7.3 --- The Associative Color Model --- p.56 / Chapter 7.4 --- Parallel Implementation --- p.60 / Chapter 7.5 --- Discussion and further improvement --- p.63 / Chapter 8 --- Conclusion and further work --- p.67 / Bibliography --- p.69

In recent years, the focus of cartographic research has shifted from the cartographic communication paradigm to the scientific visualization paradigm. With this, there has been a resurgence of cognitive research that is invaluable in guiding the design and evaluation of effective cartographic visualization tools. The design of new tools that allow effective visual exploration of spatial data and data quality information in a resource management setting is critical if decision-makers and policy setters are to make accurate and confident decisions that will have a positive long-term impact on the environment. The research presented in this dissertation integrates the results of previous research in spatial cognition, visualization of spatial information and on-line map use in order to explore the design, development and experimental testing of four interactive visualization tools that can be used to simultaneously explore spatial data and data quality. Two are traditional online tools (side-by-side and sequenced maps) and two are newly developed tools (an interactive "merger" bivariate map and a hybrid o f the merger map and the hypermap). The key research question is: Are interactive visualization tools, such as interactive bivariate maps and hypermaps, more effective for communicating spatial information than less interactive tools such as sequenced maps? A methodology was developed in which subjects used the visualization tools to explore a forest species composition and associated data quality map in order to perform a range of map-use tasks. Tasks focused on an imaginary land-use conflict for a small region of mixed boreal forest in Northern Alberta. Subject responses in terms of performance (accuracy and confidence) and preference are recorded and analyzed. Results show that theory-based, well-designed interactive tools facilitate improved performance across all tasks, but there is an optimal matching between specific tasks and tools. The results are generalized into practical guidelines for software developers. The use of confidence as a measure of map-use effectiveness is verified. In this experimental setting, individual differences (in terms of preference, ability, gender etc.) did not significantly affect performance.