Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
The upward bias in measures of information derived from limited data samples
Neural Computation
interactions
Creating creativity: user interfaces for supporting innovation
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 1
Document clustering using word clusters via the information bottleneck method
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Overview of the Third Text Retrieval Conference (TREC-3)
Overview of the Third Text Retrieval Conference (TREC-3)
Unsupervised document classification using sequential information maximization
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Relationships and tasks in scientific research collaborations
CSCW '86 Proceedings of the 1986 ACM conference on Computer-supported cooperative work
The Journal of Machine Learning Research
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Information-theoretic co-clustering
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
How Many Clusters? An Information-Theoretic Perspective
Neural Computation
The human infrastructure of cyberinfrastructure
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Computer Networks, Fourth Edition: A Systems Approach
Computer Networks, Fourth Edition: A Systems Approach
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Between chaos and routine: boundary negotiating artifacts in collaboration
ECSCW'05 Proceedings of the ninth conference on European Conference on Computer Supported Cooperative Work
Visualizing the Structure of Science
Visualizing the Structure of Science
GrouseFlocks: Steerable Exploration of Graph Hierarchy Space
IEEE Transactions on Visualization and Computer Graphics
Data weaving: scaling up the state-of-the-art in data clustering
Proceedings of the 17th ACM conference on Information and knowledge management
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Data clustering: 50 years beyond K-means
Pattern Recognition Letters
AIRFrame: integrating diverse digital collections in astrobiology
Proceedings of the 10th annual joint conference on Digital libraries
Collaborative rhythm: temporal dissonance and alignment in collaborative scientific work
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Research team integration: what it is and why it matters
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Scaling up Machine Learning: Parallel and Distributed Approaches
Scaling up Machine Learning: Parallel and Distributed Approaches
Incentives and integration in scientific software production
Proceedings of the 2013 conference on Computer supported cooperative work
Designing collaboration: comparing cases exploring cultural probes as boundary-negotiating objects
Proceedings of the 2013 conference on Computer supported cooperative work
Why CSCW needs science policy (and vice versa)
Proceedings of the 2013 conference on Computer supported cooperative work
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We present a computer supported tool for cooperative work in interdisciplinary fields, which we tested within the area of astrobiology. Our document classification and visualization system is fully automated and data driven, based on unsupervised learning algorithms and network visualization tools. A new feature selection algorithm was created to aid this process that indicates which words should be used for mutual information-based clustering. Our system can extract information about collaborations from unstructured databases with no meta-data and reveals structure that can aid the planning of collaborative research. We analyzed publications produced by researchers from NASA's Astrobiology Institute. We presented this analysis as a cultural probe and recorded reactions from researchers that indicated that our method can help scientists from different disciplines to work together. We have made an interactive version of our visualization and analysis available as a website for long-term use.