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Data-Intensive Distributed Computing

Data-Intensive Distributed Computing

Data-Intensive Distributed Computing. CS 431/631 451/651 (Fall 2019). Part 4: Analyzing Graphs (2/2). October 8, 2019. Ali Abedi. Thanks to Jure Leskovec , Anand Rajaraman, Jeff Ullman (Stanford University). These slides are available at https://www.student.cs.uwaterloo.ca/~cs451/.

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529 views • 51 slides
Graph Algorithms

Graph Algorithms

Graph Algorithms. Data-Intensive Information Processing Applications ― Session #5. Jimmy Lin University of Maryland Tuesday, March 2, 2010.

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655 views • 48 slides
Link Analysis: PageRank and Similar Ideas

Link Analysis: PageRank and Similar Ideas

Link Analysis: PageRank and Similar Ideas. Recap: PageRank. Rank nodes using link structure PageRank: Link voting: P with importance x has n out-links, each link gets x/n votes Page R ’s importance is the sum of the votes on its in-links Complications: Spider traps, Dead-ends

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599 views • 46 slides
大规模数据处理 / 云计算 Lecture 6 – Graph Algorithm

大规模数据处理 / 云计算 Lecture 6 – Graph Algorithm

大规模数据处理 / 云计算 Lecture 6 – Graph Algorithm. 彭波 北京大学信息科学技术学院 4/26/2011 http://net.pku.edu.cn/~course/cs402/. Jimmy Lin University of Maryland. 课程建设. SEWM Group.

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575 views • 46 slides
Web Mining

Web Mining

Web Mining. Crawling. Crawling the Web. Web pages Few thousand characters long Served through the internet using the hypertext transport protocol (HTTP) Viewed at client end using `browsers’ Crawler To fetch the pages to the computer At the computer

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561 views • 41 slides
Overview of Web-Crawlers

Overview of Web-Crawlers

Overview of Web-Crawlers. Neal Richter & Anthony Arnone Nov 30, 2005 – CS Conference Room These slides are edited versions of the chapter 2 lecture notes from “Mining the Web” by Soumen Chakrabarti. “Programming Spiders, Bots, and Aggregators” in Java by Jeff Heaton also is a good reference.

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390 views • 28 slides

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