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Making the most of your data: KDD Cup 2007 "How Many Ratings" winner's report

Authors:

Saharon Rosset,

Claudia Perlich,

Yan LiuAuthors Info & Claims

ACM SIGKDD Explorations Newsletter, Volume 9, Issue 2

Pages 66 - 69

https://doi.org/10.1145/1345448.1345463

Published: 01 December 2007 Publication History

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Abstract

We describe the ideas and methodologies that we developed in addressing the KDD Cup 2007 How Many Ratings task, and discuss how they contributed to our success.

References

[1]

R. Lawrence, C. Perlich, S. Rosset, et al. Analytics-driven solutions for customer targeting and sales force allocation. IBM Systems Journal, 46(4), 2007.

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[2]

P. McCullagh and J. Nelder. Generalized Linear Models. Chapman and Hall, London, 1989.

Crossref

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[3]

C. Perlich, S. Rosset, R. Lawrence, and B. Zadrozny. High quantile moldeing for customer wallet estimation with other applications. In KDD07, 2007.

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[4]

S. Rosset and R. Lawrence. Data enhanced predictive moldeing for sales targeting. In SIAM Data Mining, 2006.

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Cited By

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Kaufman SRosset SPerlich CStitelman O(2012)Leakage in data miningACM Transactions on Knowledge Discovery from Data10.1145/2382577.23825796:4(1-21)Online publication date: 18-Dec-2012
https://dl.acm.org/doi/10.1145/2382577.2382579
Kaufman SRosset SPerlich CApte CGhosh JSmyth P(2011)Leakage in data miningProceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining10.1145/2020408.2020496(556-563)Online publication date: 21-Aug-2011
https://dl.acm.org/doi/10.1145/2020408.2020496
Rosset SPerlich CŚwirszcz GMelville PLiu Y(2010)Medical data miningData Mining and Knowledge Discovery10.1007/s10618-009-0158-x20:3(439-468)Online publication date: 1-May-2010
https://dl.acm.org/doi/10.1007/s10618-009-0158-x
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Index Terms

Making the most of your data: KDD Cup 2007 "How Many Ratings" winner's report
1. Information systems
  1. Information systems applications
    1. Data mining
2. Mathematics of computing
  1. Probability and statistics
    1. Statistical paradigms
      1. Statistical graphics

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Published In

ACM SIGKDD Explorations Newsletter Volume 9, Issue 2

Special issue on visual analytics

December 2007

105 pages

ISSN:1931-0145

EISSN:1931-0153

DOI:10.1145/1345448

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Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2007

Published in SIGKDD Volume 9, Issue 2

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Kaufman SRosset SPerlich CStitelman O(2012)Leakage in data miningACM Transactions on Knowledge Discovery from Data10.1145/2382577.23825796:4(1-21)Online publication date: 18-Dec-2012
https://dl.acm.org/doi/10.1145/2382577.2382579
Kaufman SRosset SPerlich CApte CGhosh JSmyth P(2011)Leakage in data miningProceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining10.1145/2020408.2020496(556-563)Online publication date: 21-Aug-2011
https://dl.acm.org/doi/10.1145/2020408.2020496
Rosset SPerlich CŚwirszcz GMelville PLiu Y(2010)Medical data miningData Mining and Knowledge Discovery10.1007/s10618-009-0158-x20:3(439-468)Online publication date: 1-May-2010
https://dl.acm.org/doi/10.1007/s10618-009-0158-x
Burke RRamezani M(2010)Matching Recommendation Technologies and DomainsRecommender Systems Handbook10.1007/978-0-387-85820-3_11(367-386)Online publication date: 5-Oct-2010
https://doi.org/10.1007/978-0-387-85820-3_11
Perlich CMelville PLiu YŚwirszcz GLawrence RRosset S(2008)Breast cancer identificationACM SIGKDD Explorations Newsletter10.1145/1540276.154028910:2(39-42)Online publication date: 20-Dec-2008
https://dl.acm.org/doi/10.1145/1540276.1540289
Kurucz MBenczúr AKiss TNagy ISzabó ATorma B(2007)KDD Cup 2007 task 1 winner reportACM SIGKDD Explorations Newsletter10.1145/1345448.13454609:2(53-56)Online publication date: 1-Dec-2007
https://dl.acm.org/doi/10.1145/1345448.1345460

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Mining fuzzy specific rare itemsets for education data

Mining uncertain data for constrained frequent sets

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