posted by user: wangfengmadking || 4958 views || tracked by 3 users: [display]

MLG 2011 : Ninth Workshop on Mining and Learning with Graphs (MLG 2011)

FacebookTwitterLinkedInGoogle


Conference Series : Mining and Learning with Graphs
 
Link: http://www.cs.purdue.edu/mlg2011/index.html
 
When Aug 20, 2011 - Aug 21, 2011
Where San Diego, CA
Submission Deadline TBD
Categories    machine learning   data mining
 

Call For Papers

This year's Workshop on Mining and Learning with Graphs will be held in conjunction with the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining that will take place August 21-24, 2011 in San Diego, CA.
There is a growing need and interest in analyzing data that is best represented as a graph, such as the World Wide Web, social networks, social media, biological networks, communication networks, and physical network systems. Traditionally, methods for mining and learning with such graphs has been studied independently in several research areas, including machine learning, statistics, data mining, information retrieval, natural language processing, computational biology, statistical physics, and sociology. However, we note that contributions developed in one area can, and should, impact work in the other areas and disciplines. One goal of this workshop is to foster this type of interdisciplinary exchange, by encouraging abstraction of the underlying problem (and solution) characteristics during presentation and discussion.

In particular, this workshop is intended to serve as a forum for exchanging ideas and methods, developing new common understandings of the problems at hand, sharing of data sets where applicable, and leveraging existing knowledge from different disciplines. The goal is to bring together researchers from the related disciplines, including academia, industry and government, and create a forum for discussing recent advances in analysis of graphs. In doing so we aim to better understand the overarching principles and the limitations of our current methods, and to inspire research on new algorithms and techniques for mining and learning with graphs.

To reflect the broad scope of work on mining and learning with graphs, we encourage submissions that span the spectrum from theoretical analysis of methods, to algorithms and implementation, to applications and empirical studies. In terms of application areas, the growth of user-generated content on blogs, microblogs, discussion forums, product reviews, etc., has given rise to a host of new opportunities for graph mining in the analysis of Social Media. Social Media Analytics is a fertile ground for research at the intersection of mining graphs and text. As such, this year we especially encourage submissions on theory, methods, and applications focusing on the analysis of social media.

Related Resources

Ei/Scopus-SGGEA 2025   2025 2nd Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2025)
Ei/Scopus-CCNML 2025   2025 5th International Conference on Communications, Networking and Machine Learning (CCNML 2025)
Ei/Scopus-MLBDM 2025   2025 5th International Conference on Machine Learning and Big Data Management (MLBDM 2025)
IEEE-ACAI 2025   2025 IEEE 8th International Conference on Algorithms, Computing and Artificial Intelligence (ACAI 2025)
IEEE-Ei/Scopus-PRDM 2025   2025 6th International Conference on Pattern Recognition and Data Mining (PRDM 2025)
CGASP 2025   International Conference on Computer Graphics, Animation & Signal Processing
CVAI 2026   2026 International Symposium on Computer Vision and Artificial Intelligence (CVAI 2026)
S+SSPR 2026   Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recognition
Ei/Scopus-IPCML 2025   2025 International Conference on Image Processing, Communications and Machine Learning (IPCML 2025)