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November 2010

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ESANN'11 special session on "Kernel methods for Structured Data": Call for papers
by Fabrice Rossi 14 Nov '10

14 Nov '10

Apologies for cross-posting ESANN 2011 Special Session: "Seeing is believing: The importance of visualization in real-world machine learning applications" European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 27-29 April 2011, Bruges, Belgium http://www.dice.ucl.ac.be/esann Sponsors: IEEE CIS Task Forces on Data Visualization and Data Analysis, and on Medical Data Analysis; INNS SIG on Biopattern. ======================= AIMS & SCOPE ============ Data visualization is crucial in many real-world problems dealing with knowledge extraction. Adequate and intuitive data visualization techniques may provide much insight about the information underlying a given data set. Visualization processes are usually unproblematic when data sets consist of only a reduced number of attributes, but the scenario may become much more difficult when dealing with high-dimensional data. These are becoming increasingly common in real-world applications. Straightforward visualization can also be non-trivial for structured data such as large trees, graphs or time series. Lately, much research in the machine learning and computational intelligence fields has been devoted to the development of high-dimensional and structured data visualization techniques. Dynamic and/or interactive visualization methods are also becoming more readily available. This session aims to respond to the need for such techniques in real-world application areas for which visualization is paramount. A particular emphasis will be put on medical applications, but the submission of results from other fields is encouraged, especially if research addresses the challenges outlined above, concerning data dimensionality or complexity issues. The theme should appeal both to scientists interested in the development of novel data visualization methods and to those mainly interested in the application of such techniques to specific real problems. Session organizers: Dr. Alfredo Vellido (Technical University of Catalonia, Spain), Dr. José D. Martín (University of Valencia, Spain), Prof. Paulo J. G. Lisboa (Liverpool John Moores University, U.K.) Prof. Fabrice Rossi (Télécom ParisTech, France). ================================================ Important dates: deadline for submission: November, 24th

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software and book announcement NodeXL
by Shneiderman, Ben 04 Nov '10

04 Nov '10

Dear InfoVis Colleagues, Below is our announcement of the NodeXL software and new book... best wishes... Ben Shneiderman Our free and open source network analysis and visualization tool, NodeXL (www.codeplex.com/nodexl) now has an accompanying book to help students, researchers, and professionals import, analyze, and visualize social networks. "Analyzing Social Media Networks with NodeXL" is now available from Elsevier/MorganKaufmann Publishers: http://www.elsevier.com/wps/find/bookdescription.cws_home/723354/descrip tion also available at Amazon.com: http://www.amazon.com/Analyzing-Social-Media-Networks-NodeXL/dp/01238222 97 We've had satisfying success in getting information, computer science, communications, and business students to do substantive network analysis and create revealing visualizations, while professionals have been able to develop actionable business analyses. Of course, there are legitimate concerns about how a tool as powerful as NodeXL could be used to extract personal information and business insights that might raise concerns for some people. So much data is now public, but the NodeXL interface enables connecting the dots in ways that were difficult in the past. Powerful tools have many beneficial uses, but raise concerns, demanding increased public and professional understanding of what is possible. We hope you will help in that process within the Washington, DC community that are interested in network analysis. We think there are compelling stories around Pierre de Vries' analysis of FCC filings that indicate surprisingly strong collaborations between rural communication providers, Peter Aldhous of New Scientist who used NodeXL to collect and present evidence for unfair reviewing practices around the hot topic of stem cell research, and our work with Chris Wilson of Slate to show Senate voting patterns. The NodeXL tool, a plug-in for Excel 2007/2010, which has been supported by Microsoft External Research for three years is free to download at www.codeplex.com/nodexl. Users can also download datasets used as examples in the book, or use the NodeXL interface to get network data from email, twitter, facebook, flickr, youtube, and other sources. The book describes the power of social media, gives a solid introduction to network analysis, and then leads readers through the steps of using NodeXL. The software and book combination is proving to be a real game-changer - getting instructors to revise their courses and professionals to make better use of social media. Let us know if you have any questions. We hope you will help us spread the word about this timely book and the potent NodeXL technology that lowers the barriers to making significant analytic insights about social media and networks of all types. Sincerely, Ben, on behalf of Derek Hansen shakmatt(a)gmail.com Ben Shneiderman ben(a)cs.umd.edu Marc Smith marc(a)connectedaction.net Book Description: Businesses, entrepreneurs, individuals, and government agencies alike are looking to social network analysis (SNA) tools for insight into trends, connections, and fluctuations in social media. Microsoft's NodeXL is a free, open-source SNA plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data. But it goes further than other SNA tools -- NodeXL was developed by a multidisciplinary team of experts that bring together information studies, computer science, sociology, human-computer interaction, and over 20 years of visual analytic theory and information visualization into a simple tool anyone can use. This makes NodeXL of interest not only to end-users but also to researchers and students studying visual and network analytics and their application in the real world. In Analyzing Social Media Networks with NodeXL, members of the NodeXL development team up provide readers with a thorough and practical guide for using the tool while also explaining the development behind each feature. Blending the theoretical with the practical, this book applies specific SNA instructions directly to NodeXL, but the theory behind the implementation can be applied to any SNA. *Walks readers through using NodeXL while explaining the theory and development behind each step, providing takeaways that can apply any SNA *Demonstrates how visual analytics research can be applied to SNA tools for the mass market *Presents readers with case studies using NodeXL on popular networks like email, Facebook, Twitter, YouTube, Flickr, and Wikis http://www.elsevier.com/wps/find/bookdescription.cws_home/723354/descrip tion

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