PPT-Top-k String Similarity Search

with EditDistance Constraints Dong Deng Tsinghua Beijing China Guoliang Li Tsinghua Beijing China Jianhua Feng Tsinghua Beijing China Wen Syan LiSAP Labs Shanghai China. Presented by:. Akshay. Kumar. Pankaj. . Prateek. Are these similar?. Number ‘1’ vs. color ‘red’. Number ‘1’ vs. ‘small’. Horse vs. Rider. True vs. false . ‘. Monalisa. ’ vs. ‘Virgin of the rocks’. An Adaptive Framework for Similarity Join and Search. Jiannan. Wang. . (Tsinghua University). Guoliang. . Li (Tsinghua . University). Jianhua. . Feng. (Tsinghua University). Data Integration. Data Cleaning. Stanford University. Autumn 2009. Instructors. : . Andrei . Broder . and Vanja Josifovski. Introduction to Computational Advertising. 1. General course info. Course Website. : . http://www.stanford.edu/class/msande239/. these theories have explanatory power domains partially role of relational judgments. Previous structural and aspects of notion of relational similarity by the fact that and her some ways there is in . Schütze. and Christina . Lioma. Lecture . 19: Web Search. 1. Overview. Recap . . Big picture. Ads . Duplicate detection. 2. Outline. Recap . . Big picture. Ads . Duplicate detection. 3. 4. Bioinformatics tools. Introduction to regular expressions. In bioinformatics we often work with strings. Regex: highly specialized “language” for matching strings. In python: the re module. Perl-style regular expressions. Ph.D. Thesis Defense. Anoop Cherian. *. Department of Computer Science and Engineering. University of Minnesota, Twin-Cities. Adviser. : Prof. Nikolaos Papanikolopoulos. *Contact: . cherian@cs.umn.edu. Jing . Zhang, . Jie. . Tang . , Cong . Ma . , . Hanghang. . Tong . , Yu . Jing . , and . Juanzi. . Li. Presented by Moumita Chanda Das . Outline. Introduction. Problem formulation. Panther using path sampling. a Multi-Layered Indexing Approach. Yongjiang Liang, . Peixiang Zhao. CS @ FSU. zhao@cs.fsu.edu. Outline. Introduction. State-of-the-art solutions. ML-Index & similarity search. Experiments. Conclusion. CSE, HKUST. March 20. Recap. String declaration. str1=“Hong”. str2=“Kong”. String Operators. strr. =str1+str2. “H” in . strr. String Slicing. strr. [. i. ]. strr. [:. i. ]. strr. [. i. :]. Kai Li, Guo-Jun Qi, Jun Ye, Tuoerhongjiang Yusuph, Kien A. Hua. Department of Computer Science. University of Central Florida. ISM 2016. Presented by . Tuoerhongjiang Yusuph. Introduction. Massive amount of high-dimensional data, high computational costs …. Quiz. Which pair of words exhibits the greatest similarity?. 1. Deer-elk. 2. Deer-horse. 3. Deer-mouse. 4. Deer-roof. Quiz Answer. Which pair of words exhibits the greatest similarity?. 1. Deer-elk. 2. Deer-horse. Just a reminder of the important concept in sequence analysis – . homology. . It is a conclusion about a common ancestral relationship drawn from sequence similarity.. Sequence . similarity. is a direct result of observation from the sequence alignment. It can be quantified using percentages, but homology can not!. Scott Wen-tau Yih. Joint work with. Kristina Toutanova, John Platt, Chris Meek. Microsoft Research. Cross-language Document Retrieval. English Query Doc. Spanish Document Set. Web Search & Advertising.