PPT-Bandits and Browsing: Data Mining and Network Analysis for

Author : tawny-fly | Published Date : 2017-03-21

Harriett Green English and Digital Humanities Librarian University Library Kirk Hess Digital Humanities Specialist University Library Richard Hislop PhD candidate

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Bandits and Browsing: Data Mining and Ne..." 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.

Bandits and Browsing: Data Mining and Network Analysis for: Transcript

Harriett Green English and Digital Humanities Librarian University Library Kirk Hess Digital Humanities Specialist University Library Richard Hislop PhD candidate Department of Economics UIUC. Mining . Methods Course. Dr. Russell Anderson. Dr. Musa Jafar. West Texas A&M University. What is Data Mining?. The process of discovering useful information in large data repositories. . (Tan, P-N., Steinbach, M., and Kumar, V., Introduction to Data Mining, Addison-Wesley, 2006). Rafal Lukawiecki. Strategic Consultant, Project Botticelli Ltd. rafal@projectbotticelli.co.uk. Objectives. Overview Data Mining. Introduce typical applications and scenarios. Explain some DM concepts. Arvind. . Balasubramanian. arvind@utdallas.edu. Multimedia . Lab (ECSS 4.416). The University of Texas at Dallas. Me and My Research. Research Interests: . Machine Learning. Data Mining. Statistical Analysis. Another Introduction to Data Mining. Course Information. 2. Knowledge Discovery in Data [and Data Mining] (KDD). Let us find something interesting!. Definition. := . “KDD is the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data” . Arvind. . Balasubramanian. arvind@utdallas.edu. Multimedia Lab. The University of Texas at Dallas. Me and My Research. Research Interests: . Machine Learning. Data Mining. Statistical Analysis. Applications of the above in Multimedia. Rafal Lukawiecki. Strategic Consultant, Project Botticelli Ltd. rafal@projectbotticelli.co.uk. Objectives. Overview Data Mining. Introduce typical applications and scenarios. Explain some DM concepts. Agenda. Data Mining enabling Predictive Analysis. The Value of Predictive Analysis. SQL Server 2008 Predictive Analysis. Complete Predictive Analysis. Integrated Predictive Analysis. Extensible Predictive Analysis. Professor Tom . Fomby. Director. Richard B. Johnson Center for Economic Studies. Department of Economics. SMU. May 23, 2013. Big Data:. Many Observations on Many Variables . Data File. OBS No.. Target Var.. 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. John E. Hopcroft, Tiancheng Lou, Jie Tang, and Liaoruo Wang. Detecting Community Kernels in Large Social Networks. ICDM John E. Hopcroft, Tiancheng Lou, Jie Tang, and Liaoruo Wang. Detecting Community Kernels in Large Social Networks. ICDM 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. Course webpage:. http://www.cs.bu.edu/~. evimaria/cs565-11.html. Schedule: Mon – Wed, . 2:30-4:00. Instructor: . Evimaria. . Terzi. , . evimaria@cs.bu.edu. Office hours: . Tues. . 11. :00am-12:30pm. 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.
"Bandits and Browsing: Data Mining and Network Analysis for"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.