PPT-Workflows 3: Graphs, PageRank, Loops, Spark

Author : naomi | Published Date : 2023-06-23

Always start off with a joke to lighten the mood 1 The course so far Cost of operations Streaming learning algorithms Parallel streaming with mapreduce Building

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Workflows 3: Graphs, PageRank, Loops, Sp..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Workflows 3: Graphs, PageRank, Loops, Spark: Transcript

Always start off with a joke to lighten the mood 1 The course so far Cost of operations Streaming learning algorithms Parallel streaming with mapreduce Building complex parallel algorithms with dataflow languages Pig . on . Evolving Graphs Research. Speaker: . Chenghui. . Ren. Supervisors: Prof. Ben Kao, . Prof. . David Cheung. 1. Motivation. Evolving graphs are everywhere. Social networks. Users join social networks. CS2HS Workshop. Google. Google’s . Pagerank. algorithm is a marvel in terms of its effectiveness and simplicity.. The first company whose initial success was entirely due to “discovery/invention” of a clever algorithm.. Taverna. Aleksandra . Pawlik. University . of Manchester. materials by . Dr Katy . Wolstencroft. . and Dr . Aleksandra . Pawlik. http. ://www.taverna.org.uk/. This work is licensed under a . Creative Commons Attribution 3.0 Unported License. Masaru . Kamada. Tokyo . University of . Science. Graph Theory Conference. i. n honor of Yoshimi . Egawa. on the occasion his 60. th. birthday. September 10-14, 2013. In this talk, all graphs are finite, undirected and allowed multiple edges without loops.. Link . Analysis, PageRank. Mining of Massive Datasets. Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullman . Stanford University. http://www.mmds.org . Note to other teachers and users of these . slides:. Instructor. Neelima Gupta. ngupta@cs.du.ac.in. Table . of Contents. Directed Graphs. Simple Digraph. May contain one loop at each vertex.. Distance: we say that a vertex y is at a distance d from a vertex x, if d is the length of a shortest path from x to y.. Dongsheng. Luo, Chen Gong, . Renjun. Hu. , Liang . Duan. Shuai. Ma, . Niannian. Wu, . Xuelian. Lin. TeamBUAA. Problem & Challenges. Problem: . rank nodes in a heterogeneous graph based on query-independent node importance . Hubs and Authorities (HITS). Combatting Web Spam. Dealing with Non-Main-Memory Web Graphs. Jeffrey D. Ullman. Stanford University. HITS. Hubs. Authorities. Solving the Implied Recursion. 3. Hubs and . NIbble. 2. Why I’m talking about graphs. Lots of large data . is . graphs. Facebook, Twitter, citation data, and other . social. networks. The web, the blogosphere, the semantic web, Freebase, . W. Ashish Goel. Joint work with Peter Lofgren; Sid Banerjee; C . Seshadhri. 1. Personalized PageRank. 2. Assume a directed graph with . n. nodes and . m. edges. Motivation: Personalized Search. . 3. Motivation: Personalized Search. Data-Intensive Distributed Computing Part 4: Analyzing Graphs (2/2) This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States See http://creativecommons.org/licenses/by-nc-sa/3.0/us/ for details Big Data Infrastructure Week 5: Analyzing Graphs (2/ 2) This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States See http://creativecommons.org/licenses/by-nc-sa/3.0/us/ for details HUBzero. : How to Use Pegasus to Execute Computational Pipelines. Ewa Deelman. USC . Information Sciences Institute. Acknowledgement: . Steven Clark, Derrick Kearney, Michael McLennan (. HUBzero. ) . The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand

Download Document

Here is the link to download the presentation.
"Workflows 3: Graphs, PageRank, Loops, Spark"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.