'Real data sets' diaporamas de présentation

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On Privacy Preservation against Adversarial Data Mining

On Privacy Preservation against Adversarial Data Mining

On Privacy Preservation against Adversarial Data Mining. Conner Simmons. Abstract. The purpose is to hide a minimal set of entries to ensure the privacy of the sensitive fields are conserved.

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547 views • 44 slides
SimRank: A Measure of Structural-Context Similarity

SimRank: A Measure of Structural-Context Similarity

SimRank: A Measure of Structural-Context Similarity. Glen Jeh & Jennifer Widom Proceedings of the eighth ACM SIGKDD international conference on Knowledge Discovery and Data Mining 2002 Edmonton, Alberta, Canada. Outline. Introduction Related Work Basic Graph Model SimRank

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721 views • 36 slides
GAISE

GAISE

GAISE. Guidelines for Assessment and Instruction in Statistics Education COLLEGE REPORT. Robin Lock Jack and Sylvia Burry Professor of Statistics St. Lawrence University rlock@stlawu.edu. GAISE College Group. Joan Garfield Univ. of Minnesota (Chair) Martha Aliaga ASA

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476 views • 31 slides
Stream Processing of XPath Queries with Predicates

Stream Processing of XPath Queries with Predicates

Stream Processing of XPath Queries with Predicates. Ashish Kumar Gupta Dan Suciu University of Washington SIGMOD 2003. ??? : ???. Introduction. XML messages :exchange information XML stream processing problem Processing XPath queries(filters) on an incoming stream of XML packets

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397 views • 30 slides
A dissimilarity measure for the K-Modes clustering algorithm

A dissimilarity measure for the K-Modes clustering algorithm

Presenter : Bo- Sheng Wang Authors : Fuyuan Cao, Jiye Liang, Deyu Li, Liang Bai , Chuangyin Dang KBS, 2012. A dissimilarity measure for the K-Modes clustering algorithm. Outlines. Motivation Objectives Methodology Experiments Conclusions Comments. Motivation.

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434 views • 24 slides
Using Identity Credential Usage Logs to Detect Anomalous Service Accesses

Using Identity Credential Usage Logs to Detect Anomalous Service Accesses

Using Identity Credential Usage Logs to Detect Anomalous Service Accesses. ACM DIM 2009, Chicago, IL, 2009. Daisuke Mashima Dr. Mustaque Ahamad College of Computing Georgia Institute of Technology Atlanta, GA, USA. Consequence of online identity theft Impersonation

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221 views • 22 slides
SimRank : A Measure of Structural-Context Similarity

SimRank : A Measure of Structural-Context Similarity

SimRank : A Measure of Structural-Context Similarity. Glen Jeh and Jennifer Widom Stanford University ACM SIGKDD 2002 January 19, 2011 Taikyoung Kim SNU IDB Lab. Outline. Introduction Basic Graph Model SimRank Random Surfer-Pairs Model Conclusion Future Work. Introduction.

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486 views • 20 slides
Network DVR: A Programmable Framework for Application-Aware Trace Collection

Network DVR: A Programmable Framework for Application-Aware Trace Collection

Network DVR: A Programmable Framework for Application-Aware Trace Collection. Chia-Wei Chang * , Alex Gerber + , Bill Lin*, Shubho Sen + , Oliver Spatscheck +. * University of California, San Diego + AT&T Labs-Research April 9, 2010. Introduction.

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309 views • 19 slides
25 YEARS AFTER THE DISCOVERY: SOME CURRENT TOPICS ON LENSED QSOs

25 YEARS AFTER THE DISCOVERY: SOME CURRENT TOPICS ON LENSED QSOs

25 YEARS AFTER THE DISCOVERY: SOME CURRENT TOPICS ON LENSED QSOs Santander (Spain), 15th-17th December 2004. Estimation of time delays from unresolved photometry Jaan Pelt Tartu Observatory Tartumaa 61602, Estonia pelt@aai.ee. Abstract.

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291 views • 18 slides
Bayesian Treatment of Incomplete Discrete Data applied to Mutual Information and Feature Selection

Bayesian Treatment of Incomplete Discrete Data applied to Mutual Information and Feature Selection

Bayesian Treatment of Incomplete Discrete Data applied to Mutual Information and Feature Selection. Marcus Hutter & Marco Zaffalon IDSIA Galleria 2, 6928 Manno (Lugano), Switzerland www.idsia.ch/~{marcus,zaffalon} {marcus,zaffalon}@idsia.ch. Keywords. Abstract.

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259 views • 16 slides
Welcome to HLM Workshop

Welcome to HLM Workshop

Welcome to HLM Workshop. UB summer statistics course for advanced level graduate students and researchers who need to use HLM methods for their own research Prerequisite: familiarity with multiple regression analysis and experience running statistical analysis on a computer (e.g., SPSS).

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849 views • 14 slides
Michigan LearnPort

Michigan LearnPort

Michigan LearnPort. Meeting the professional development needs of busy educators. Where we are now. Almost 13,000 users as of September 18, 2006. User Accounts. Less than 1,000 users a year ago. Where we are now. Courses. 180 Total Courses Available 54 Free Courses

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268 views • 13 slides
Productivity, Efficiency, Performance Data Envelopment Analysis (DEA)

Productivity, Efficiency, Performance Data Envelopment Analysis (DEA)

Productivity, Efficiency, Performance Data Envelopment Analysis (DEA) Supervisor: Victor Podinovski. Optimization models for the measurement of efficiency of organizations Recent topics:

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267 views • 1 slides

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