PPT-Stacking-Based Visualization of Trajectory Attribute Data

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS DECEMBER 2012 Authors Christian Tominski Heidrun Schumann Gennady Andrienko Natalia Andrienko BY Farah Kamw Introduction. 11:. Evaluation Techniques. April . 13. , . 2015. COMP 150. -04. Topics . in Visual Analytics. Note: slide deck adapted from R. Chang. Discussion. How . do we evaluate (measure) the . efficacy . of . --Presented By . Sudheer. . Chelluboina. .. Professor: . Dr.Maggie. Dunham. Contents . Outline of Paper. Introduction . Index Structures. Due to rapid increase in the use of location based services applications, large amount of location data of moving object is recorded. Because of that efficient indexing techniques are required to manage these large amounts of trajectory data. All index structures are focused on either indexing past, current and future locations. Every indexing structure or techniques discussed in this paper will make simpler indexing or it will increase the overall query processing performance. . : Trajectory Classification Using Hierarchical Region-Based and Trajectory-Based Clustering. Jae-Gil Lee, . Jiawei. Han, . Xiaolei. Li, Hector Gonzalez. University of Illinois at Urbana-Champaign. VLDB 2008. : Visual Analysis of Multi-Attribute Rankings. Samuel . Gratzl. , Alexander . Lex. , Nils . Gehlenborg. , . Hanspeter. . Pfister. , and Marc . Streit. Background. Rankings. S. tructuring unorganized collections of items.. . USING HIERARHICAL REGION-BASED . . AND . . TRAJECTORY-BASED CLUSTERING . . JaeGil. Lee, . Jiawei. Han, . . Xiaolei. . Li, . Hector Gonzalez. Department of Computer Science. of Massive Trajectory Data based on MapReduce. Qiang. Ma, Bin Yang (. Fudan. University). Weining. . Qian. , . Aoying. Zhou (ECNU). Presented By: . Xin. Cao (Aalborg University). Outline. Introduction . Remark: covers Chapter 3 of the Tan book in Part. Organization. Why Exloratory Data Analysis?. Summary Statistics. Visualization. 1. Why Data Exploration?. Key motivations of data exploration include. Group-Based Trajectories for the analysis of observational cohorts Michael W. Plankey, PhD Professor Georgetown University Medical Center Washington, DC, USA 7,087 Men who have sex with Men (MSM) enrolled in Spring 2018. Course Introduction. What the course is about. What will you learn. Teaching team. Schedule. What you need to do to succeed. 1. Course overview. Visualization analysis & design. What visualization can do?. markovz@ccsu.edu Ingrid Russell University of Hartford irussell@hartford.edu Data Mining"Drowning in Data yet Starving for Knowledge" ???"Computers have promised us a fountain of wisdom but delivered 1 Abstract Enhancing Web-Based Three-Dimensional Visualization of Scientific Data The recent initiative to encourage more effective communication among researchers, educational institutions, governmen markovzccsueduIngrid Russell University of HartfordirussellhartfordeduData MiningDrowning in Data yet Starving for Knowledge Computers have promised us a fountain of wisdom but delivered aflood of dat Chi-Yin Chow. Department of Computer Science. City University of Hong Kong. Mohamed F. Mokbel. Department of Computer Science and Engineering. University of Minnesota . Outline. Introduction. Protecting Trajectory Privacy in Location-based Services. . subject-oriented. ,. integrated. , . time-variant. , . and . nonvolatile. . collection of data in support of management’s decision-making process.. A decision support database that is maintained .