PPT-RoundTripRank Graph-based Proximity with

Importance and Specificity Yuan Fang Univ of Illinois at UrbanaChampaign Kevin CC Chang Univ of Illinois at UrbanaChampaign Hady W Lauw Singapore Management University. . Liangliang. (Leon) . Nan. 1. , . Andrei . Sharf. 2. , . . Ke. . Xie. 1. , . . Tien-Tsin. . Wong. 3. . Oliver . Deussen. 4. , . Daniel . Cohen-Or. 5. , . . Baoquan. . Chen. 1 . Rob Diaz-Marino, Interactions Lab. rob.diazmarino@gmail.com. Overview. Premise of Proximity Toolkit. The Home Space. Intro to . Vicon. System. Intro to Proximity Server. Proximity Data Model. Presence Properties. Design Principle. Introduction. Items relating to each other should be grouped close together. When several items are in close proximity to each other, they become one visual unit rather than several separate units. This helps organize information, reduces clutter, and gives the reader a clear structure. Arijit. Khan, Nan Li, . Xifeng. Yan, . Ziyu. Guan. Computer Science . UC Santa Barbara. {. arijitkhan. , . nanli. , . xyan. , . ziyuguan. }@. cs.ucsb.edu. . Supriyo. Chakraborty. UC Los Angeles. Sparsification for Graph Clustering. Peixiang Zhao. Department of Computer Science. Florida State University. zhao@cs.fsu.edu. Synopsis. Introduction. gSparsify. : Graph motif based sparsification. Cluster significance. Arend Rensink, University of Twente. CamPaM 2012. April 2012. Graph-Based State Spaces. April 2012. Graph-Based State Spaces. 2. Graph Transformation. Formal language to capture dynamic system behaviour. Graphs. with . Metagraph. -based Learning. Yuan Fang. 1. , . Wenqing. Lin. 1. , Vincent Zheng. 2. ,. Min Wu. 1. , Kevin Chang. 23. , Xiao-Li Li. 1. . ICDE 2016 @ Helsinki. 1. Institute for . Infocomm. Principle of Design. Hierarchy. Pecking order.. Visual Hierarchy. Visual hierarchy is the ranking of important of the elements in a composition.. The most important element is at the top of the list. This is your focal point, or center of interest. . is a . sensor.  able to detect the presence of nearby objects without any physical contact.. How do the work . The object being sensed is often referred to as the proximity sensor's . target. Pulsing out a signal and receiving an input from it’s output. Arijit. Khan, Nan Li, . Xifeng. Yan, . Ziyu. Guan. Computer Science . UC Santa Barbara. {. arijitkhan. , . nanli. , . xyan. , . ziyuguan. }@. cs.ucsb.edu. . Supriyo. Chakraborty. UC Los Angeles. Goals. Enhance the . social experience of. an event. Social networking. Integrate. D. ata . from. social . networking . systems. S. emantic . data sources. . Collaboration networks . Communities . Introduction to Data Mining, 2. nd. Edition. by. Tan, Steinbach, Karpatne, Kumar. Two Types of Clustering. Hierarchical. Partitional algorithms:. Construct various partitions and then evaluate them by some criterion. Queries . Using . an . Extended . Graph Model. Ankur. . Agrawal. . S. Sudarshan . Ajitav. . Sahoo. . Adil. . Sandalwala. . Prashant. . Jaiswal. . IIT . Bombay. History of Keyword Queries. Fuze. Story. THE PROBLEM WAS HOW TO SHOOT LESS THAN 1,000 TO 28,000 PROJECTLES THAT WILL DOWN AN ATTACKING AIRPLANE. HOW TO DISCOURAGE AN ATTACKING MILITARY FORCE. SOLUTION: MAKE THE EXPLODING SHELL DETONATE EVEN IN A NEAR MISS EVENT – .