PPT-HowToKB : Mining HowTo Knowledge from Online Communities

Author : giovanna-bartolotta | Published Date : 2018-12-09

task frame Cuong Chu Niket Tandon Gerhard Weikum MPI Saarbruecken Allen Institute for AI MPI Saarbruecken How to paint a wall

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "HowToKB : Mining HowTo Knowledge from ..." 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.

HowToKB : Mining HowTo Knowledge from Online Communities: Transcript

task frame Cuong Chu Niket Tandon Gerhard Weikum MPI Saarbruecken Allen Institute for AI MPI Saarbruecken How to paint a wall. Knowledge by description We know of by description if we know a descrip tion and we know that there is just one object to which this description applies where the description is composed entirely of terms with whose referents we are acquainted Since 1 Scott Wunsch scott at wunschorg 1 1 Introduction . Mwiya. . Mwandawande. , National Coordinator. Date 30 April 2015. Mining and Community Livelihoods in Africa. Extractive . Industry Transparency Alliance, . Fair . Green Project Action Aid. ,. . Lynn Ilon. Seoul National University. lynnilon@snu.ac.kr. Question: . Why does Google give you a service and charge you nothing?. Question: . Why do you give Google free information to improve its products and charge them nothing?. Opportunities and Barriers. John . McNaught. Deputy Director. National Centre for Text Mining. John.McNaught@manchester.ac.uk. Topics. What is text mining? (briefly). What can it offer? (selectively). EAUC Scotland event on community engagement. 16. th. . April 2015. Liz Cooper, SRS Research and Policy Manager. Everything we buy . as institutions has an impact . on communities around the world. Livelihoods, Pay, Farmers, Extractives/mining, Manufacturing. with an . Eclipse . Attack. With . Srijan. Kumar, Andrew Miller and Elaine Shi. 1. Kartik . Nayak. 2. Alice. Bob. Charlie. Emily. Blockchain. Bitcoin Mining. Dave. Fairness: If Alice has 1/4. th. computation power, she gets 1/4. task frame. Cuong. . Chu. ,. . Niket . Tandon. , . . Gerhard . Weikum. MPI . Saarbruecken. Allen Institute for AI MPI . Saarbruecken. : . How to paint a wall. Instructor: . Yizhou. Sun. yzsun@ccs.neu.edu. January 6, 2013. Chapter 1. : Introduction. Course Information. Class . homepage: . http://. www.ccs.neu.edu/home/yzsun/classes/2013Spring_CS6220/index.htm. , National Coordinator. Date 30 April 2015. Mining and Community Livelihoods in Africa. Extractive . Industry Transparency Alliance, . Fair . Green Project Action Aid. ,. . Zambia. Paper. . organisation. John E. Hopcroft, Tiancheng Lou, Jie Tang, and Liaoruo Wang. Detecting Community Kernels in Large Social Networks. ICDM behavioral intent surveyRole of Patient InfluencersHow do patients truly share informationxecutive ummaryehavioral intent study key findingsYour trusted connection to patient communitiesOnline communi Credit: Gaby . Matalon. What is Data Mining?. The. . process . of analyzing data from different perspectives and summarizing it into useful information. It . uncovers patterns . in a large set of data. Bamshad Mobasher. DePaul University. 2. From Data to Wisdom. Data. The raw material of information. Information. Data organized and presented by someone. Knowledge. Information read, heard or seen and understood and integrated.

Download Document

Here is the link to download the presentation.
"HowToKB : Mining HowTo Knowledge from Online Communities"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.