PPT-Query-based Graph Cuboid

Author : myesha-ticknor | Published Date : 2018-11-06

Outlier Detection Ayushi Dalmia Manish Gupta Vasudeva Varma 1 IIIT Hyderabad India Microsoft India Introduction A B B B B A B B B A C C C X 1

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Query-based Graph Cuboid: Transcript


Outlier Detection Ayushi Dalmia Manish Gupta Vasudeva Varma 1 IIIT Hyderabad India Microsoft India Introduction A B B B B A B B B A C C C X 1. and Answer . Inference . for . Telegraphic Entity-seeking . Queries. EMNLP 2014. Mandar Joshi. Uma Sawant. Soumen Chakrabarti. IBM Research. IIT Bombay, Yahoo Labs. IIT Bombay. mandarj90@in.ibm.com. uma@cse.iitb.ac.in. Outlier Detection. Ayushi Dalmia. *. , Manish Gupta. *+. , Vasudeva Varma. *. 1. IIIT Hyderabad, India* Microsoft, India. +. Introduction. A. B. B. B. B. A. B. B. B. A. C. C. C. X. 1. Gu Xu. Microsoft Research Asia. Mismatching Problem. Mismatching is Fundamental Problem in Search. Examples:. NY ↔ New York, game cheats ↔ game . cheatcodes. Search Engine Challenges. Head or frequent queries. Yuichi Iijima and . Yoshiharu Ishikawa. Nagoya University, Japan. Outline. Background and Problem Formulation. Related Work. Query Processing Strategies. Experimental Results. Conclusions. 1. 2. Imprecise. a TASTIER Approach. Guoliang. Li. 1. , . Shengyue. Ji. 2. , Chen Li. 2. , . Jianhua. Feng. 1. 1 . Tsinghua. University, Beijing, China. 2 . University of California, Irvine, CA, USA. Traditional Keyword Search. 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. Type: Tutorial Paper. Authors: . Arun. . Kejriwal. (Machine Zone Inc.), Sanjeev Kulkarni, . Karthik. . Ramasamy. (Twitter . I. nc.). Presented by: Siddhant Kulkarni. Term: Fall 2015. Motivation. 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. Subgraph. Matching on Large Graphs in Cloud. Zhao Chang*, Lei . Zou. †, . Feifei. Li*. *University of Utah, USA . †. Peking University, China. Outline. Background. K-. Automorphism. Subgraph. Subgraph matching. Bo Zong . (UCSB). Ramya Raghavendra (IBM T.J. Watson). Mudhakar Srivatsa (IBM T.J. Watson). Xifeng Yan (UCSB). Ambuj K. Singh (UCSB). Kang-Won Lee (IBM T.J. Watson). 1. Cloud datacenters. Naama. Kraus. Slides are based on the papers:. Baeza. -Yates, . Hurtado. , Mendoza, . Improving search engines by query clustering. Boldi. , . Bonchi. , Castillo, . Donato. , . Vigna. , . The Query Flow Graph: Model and Applications. Zhao, . Xiaojun. Ye. MOLAP on Cloud. Interactive, Cluster Data Warehouse. Tsinghua University . hwzhao73@gmail.com. , . yexj@mail.tsinghua.edu.cn. Motivation. Extend the cube model to support OLAP operations on Big Data:. Task 3: Semantic Databases on the XMT. PNNL: . David Haglin. , Bob Adolf, Sinan al-Saffar, Cliff Joslyn. Cray: . David Mizell. SNL: . Eric Goodman. ,. . Edward Jimenez, Greg Mackey. 1. HPC applied to Semantic Graph Databases. Cuboid Syndrome. A. minor disruption or . subluxation. of the structural congruity of the . calcaneocuboid. joint.. P. oorly understood. Frequently misdiagnosed and mistreated . High incident of repeat injuries.

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