'Kdd cup' diaporamas de présentation

CSE 592: Data Mining

CSE 592: Data Mining. Instructor: Pedro Domingos. Program for Today. Rule induction Propositional First-order First project. Rule Induction. First Project: Clickstream Mining. Overview. The Gazelle site Data collection Data pre-processing KDD Cup Hints and findings. The Gazelle Site.

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CSEP 546: Data Mining

CSEP 546: Data Mining. Instructor: Pedro Domingos. Program for Today. Rule induction Propositional First-order First project. Rule Induction. First Project: Clickstream Mining. Overview. The Gazelle site Data collection Data pre-processing KDD Cup Hints and findings.

633 views • 55 slides

Targeted Marketing, KDD Cup and Customer Modeling

Targeted Marketing, KDD Cup and Customer Modeling. Direct Marketing Review: Evaluation: Lift, Gains KDD Cup 1997 Lift and Benefit estimation Privacy and Data Mining. Outline. Direct Marketing Paradigm. Find most likely prospects to contact Not everybody needs to be contacted

481 views • 40 slides

Targeted Marketing, KDD Cup and Customer Modeling

Targeted Marketing, KDD Cup and Customer Modeling. Direct Marketing Review: Evaluation: Lift, Gains KDD Cup 1997 Lift and Benefit estimation Privacy and Data Mining. Outline. Direct Marketing Paradigm. Find most likely prospects to contact Not everybody needs to be contacted

508 views • 40 slides

Caption Search for Bioscience Search Interfaces

Caption Search for Bioscience Search Interfaces. Marti Hearst, Anna Divoli, Jerry Ye, Mike Wooldridge UC Berkeley School of Information. ACL Workshop on BioNLP June 29, 2007. Supported by NSF DBI-0317510 And a gift from Genentech. Outline.

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ACM KDD Cup A Survey: 1997-2011

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KDD-Cup A Survey: 1997-201 2

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Research Trends in Multimedia Content Services

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Health of Conferences Committee Update

Health of Conferences Committee Update. February 10, 2006 @ SIG Governing Board Meeting. Executive Summary. Working for six weeks to find some best practices Five questions yielded responses from 30 SIGS Reviewer load Non-incremental Program committees Workshops, etc. Catch all

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Neural Network homework-2

Neural Network homework-2. Title: Use KDD CUP 2007 (or KDD CUP 2008) derived a DATASET the best learning algorithm, to be completed TASK1 or TASK2 final analysis. Groups:Group 1 Members: Tang Chia Ping M9615010 HSIEH HSIN JU M9605103 Payment date: December 28, 96.

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SIGKDD and the KDD Conference The road ahead

SIGKDD and the KDD Conference The road ahead. Usama Fayyad, Ph.D. SIGKDD Chairman-elect - 2009 CEO, Open Insights www.open-insights.com. www.open-insights.com. Overview. A Word about a dear friend and KDD figure Words of Thanks Some directions for the future Discussion and Ideas

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IBM Research

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Assignment5 Details

Assignment5 Details. The project is a group project; take advantage of your increased man-power and subdivide work between group members intelligently. Group Sizes are 3 or 4 (preferred); 2 is also okay; 5 is not acceptable

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pharmacophore

pharmacophore. Megon Walker Bioinformatics Program Boston University. prioritization of chemical libraries. high-throughput screening. Proceedings of the Fifteenth International Conference on Machine Learning, 1998:1-9. J. Chem Inf. Comput. Sci. 2003, 43: 667-673. compound datasets.

392 views • 7 slides