1. Social Flows: A System for Mining Social Topologies from Ego-centric Social Networks
   D. MacLean, S. Hangal S. Teh, M. Lam and J. Heer,
   Stanford U.
2. Topic Discovery and Management
   James Cox, Richard Foley,
   SAS
3. TIARA: A Visual Exploratory Text Analytic System
   Furu Wei, Shixia Liu, yangqiu Song, Shimie Pan, Michell Zhou, W. Qian, L. shi, Lit Tan, Q. Zhang,
   IBM China and IBM T.J. Watson
4. Interactively Exploring Twitter with Topic Models Dan Liebling, Daniel Ramage, Susan Dumais, Steven Drucker,
   Microsoft Research and Stanford University
5. Benchmarking Stream Clustering Algorithms within the MOA Framework
   Phili Kranen(1), H. Kremer(1), T. Jansen(1), T. Seidl(1) and A. Bifet(2), G. Holmes(2), B. Pfahringer(2)
   (1) RWTH Aachen Univ., Germany and (2) U. Waikato, New Zealand
6. StoryTeller: Detecting Hot Topics and Topic Development from Click Through Data
   J. Cui(1), Y. Gu(1), J. He(1), X. Jiang(1) and X. Du(1), H. Liu(2) and J. Yan(3)
   (1)Renmin University of China and (2) Tsinghua University, China and (3) Microsoft Research Asia, China
7. A Data Mining Approach to Opportunistic Location Aware Services
   S. Loeb and E. Panagos
   Telecordia
8. Dunbar: Mining Email Archives for Reviving Memories
   S. Hangal and M. Lam,
   Stanford U.
9. V2I: A model process for Accessible Clustering
   M. Hahmann D. Habich and W. Lehner
   Dresden University of Technology
10. Speech Assisted Radiology System for Retrieval, Reporting and Annotation
    T. Weninger, S. Ramachandran, D. Greene, J. Hart, A. Kancherlapalli, W. Hsu and J. Han
    UIUC, AIdentity Matrix Inc. and Kansas State University

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The annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is the leading forum for data mining researchers and practitioners to explore cutting-edge ideas and results, and to exchange techniques, tools, and experiences.

During the conference a demonstration session will be hosted during which researchers can showcase live demonstrations of their contributions.

This demo session is meant to allow researchers and practitioners that have implemented data mining software systems and libraries to describe the design, development and functionality of their work in an interactive setting.

The demonstrations need not be limited only to paper presented at KDD but also include other relevant systems demonstrations.

The committee encourages submission of new technology and early prototypes but will also consider mature systems with experimental features.

Note that the marketing of products must instead be arranged as part of the exhibit program.

Your proposal must describe how the demonstrated system illustrates contributions to the field. It must also include technical specification, references to other literature, and optionally include a URL to screenshots or an online version.

Proposals must be no more than four pages long and be in PDF or Word format.

The selection criteria for the demonstration proposals evaluation include: the novelty, the technical advances and challenges, and the overall practical attractiveness of the demonstrated system.

To participate please email a short proposal to the KDD 2010 Demonstrations Chairs, Srinivasan Parthasarathy and Jennifer Dy by April 17th, 2010.