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Is there a grand challenge or X-prize for data mining?
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Source Conference on Knowledge Discovery in Data archive
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining table of contents
Philadelphia, PA, USA
PANEL SESSION: Panel table of contents
Pages: 954 - 956  
Year of Publication: 2006
ISBN:1-59593-339-5
Authors
Gregory Piatetsky-Shapiro  KDnuggets
Robert Grossman  UIC & Open Data Group
Chabane Djeraba  U. of Lille
Ronen Feldman  U. of Bar-Ilan & ClearForest
Lise Getoor  U. of Maryland
Mohammed Zaki  RPI
Sponsors
ACM: Association for Computing Machinery
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 20,   Downloads (12 Months): 152,   Citation Count: 1
Additional Information:

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ABSTRACT

This panel will discuss possible exciting and motivating Grand Challenge problems for Data Mining, focusing on bioinformatics, multimedia mining, link mining, text mining, and web mining.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
"Grand challenges spur grand results - Private groups are offering big cash prizes to anyone who can solve a range of daunting problems". The Christian Science Monitor, January 12, 2006 http://www.csmonitor.com/2006/0112/p13s01-stss.html
 
2
Prize for DNA Decoding Aims to Fuel Innovation, Wall Street Journal, Jan. 27, 2006
 
3
Usama Fayyad and Robert L. Grossman, Grand Challenges for Data Mining: Technical, Theoretical, and Pragmatic, submitted for publication.

CITED BY
Guangyu Zhu , Timothy J. Bethea , Vikas Krishna, Extracting relevant named entities for automated expense reimbursement, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, August 12-15, 2007, San Jose, California, USA

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
          Subjects: Data mining


General Terms:
Experimentation, Measurement, Performance


Keywords:
X-prize, bioinformatics, data mining, grand challenge, image mining, link mining, multimedia mining, text mining, video mining, web mining

Collaborative Colleagues:
Gregory Piatetsky-Shapiro: colleagues
Robert Grossman: colleagues
Chabane Djeraba: colleagues
Ronen Feldman: colleagues
Lise Getoor: colleagues
Mohammed Zaki: colleagues

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