2014 Doctoral Dissertation Award

2014 SIGKDD Doctoral Dissertation Award
 
CALL FOR NOMINATIONS
 
Nomination Deadline: April 30, 2014

 
This annual award introduced in 2008 recognizes excellent research by
doctoral candidates in the field of data mining and knowledge discovery.
 
This annual award by ACM SIGKDD will recognize excellent research
by doctoral candidates in the field of data mining and knowledge  
discovery. The KDD Doctoral Dissertation Award winner and up to two  
runners-up will be recognized at the KDD conference, and their  
dissertations will have the opportunity to be published on the KDD  
Web site (http://www.kdd.org). The award winner will receive a plaque,  
a check for $2,500. The award winner will also receive a free registration
to attend the KDD conference. The runners-up will receive a plaque at  
the conference. The winner and runners-up will be invited to present    
his or her work in a special session at the KDD conference.
 

Eligibility:
The final dissertation defense should take place at the nominee's host
institution before the submission deadline. Furthermore, the final
dissertation defense must not have taken place prior to January 1st, 2013.
 Nominations are limited to one doctoral dissertation per department or
academic unit. Submissions must be received by the submission deadline.
 
Each nominated dissertation must also have been successfully defended
by the candidate, and the final version of each nominated dissertation  
must have been accepted by the candidate's academic unit. An English  
version of the dissertation must be submitted with the nomination. A  
dissertation can be nominated for both the SIGKDD Doctoral
Dissertation  Award and the ACM Doctoral Dissertation Award.
 
Important Dates:
Submission Deadline: April 30, 2014.
Notification of Awards: July 19, 2014.
Award Presentation at KDD 2014: August 24-27, 2014, New York City, USA.
 
Submission Procedure:
All nomination materials must be submitted electronically to:
 
huanliu [at] asu.edu
 
Please use "SIGKDD Dissertation Award Nominations" in your subject
line.
 
All nomination materials must be in English. PDF format is preferred
for all materials. Late submissions will not be accepted. A nomination  
must include:
 
1. A nomination letter, written by the dissertation advisor of the
candidate. This letter must include full contact information for both  
the advisor and the nominee as well as a one- or two-page summary of  
the significance of the dissertation.
 
2. An endorsement letter signed by the department head.
 
3. One PDF copy of the doctoral dissertation.
 
4. A copyright transfer form signed by the candidate is required
giving permission for the dissertation to appear on KDD.org Web site
if the  dissertation is selected as an award recipient (but if the
nomination  is also being submitted for the ACM Doctoral Dissertation
Award, only  one form needs to be signed). See:
 
http://www.acm.org/pubs/copyright_form.html  
 
5. Optionally, the nomination may include up to two supporting letters
from other individuals, discussing the significance of the
dissertation.
 
Additional information is available at:
 
http://kdd.org/awards_dissertation.php
 
Please direct questions to the Award Committee Chair: Huan Liu,
Arizona StateUniversity, huanliu [at] asu.edu.

 
 

Recipients

2012

Winner
 
 
 
Amr Ahmed

Modeling Content and Users: Structured Probabilistic Representation and Scalable Inference Algorithms

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Runner-up
Runner up:
 
 
Abdullah Al Mueen

Exact Primitives for Time Series Data Mining

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Runner-up
Runner up:
 
 
Lei Li

Fast Algorithms for Mining Co-evolving Time Series

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Honorable Mention
 
 
Honorable Mention:
Xiang Zhang

Efficient Algorithms for Detecting Genetic Interactions in Genome-Wide Association Study

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2011

Winner
 
 
 
Dr. Michael Hay

Dr. Hay's dissertation presents several discoveries and innovations in the area of privacy-preserving analysis of relational data. These findings are likely to have important implications for preserving personal privacy while analyzing data in social networks.

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Runner-up
Runner up:
 
 
Dr. Tianyi Wu
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Certificate of Recognition
 
Certificate of Recognition:
 
Dr. Gaurav Pandey

Data Mining Techniques for Enhancing Protein Function Prediction

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Honorable Mention
 
 
Honorable Mention:
Dr. Wenjun Zhou

Correlation Analysis: From Computation Hardness to Practical Success

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Honorable Mention
 
 
Honorable Mention:
Dr. Loic Cerf

Constraint-Based Mining of Closed Patterns in Noisy N-Ary Relations

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2010

Winner
 
 
 
Dr. Mohammad Al Hasan

Dr. Mohammad Al Hasan's dissertation presents an innovative and general approach to frequent pattern mining with a potential to dramatically improve the performance of currently available tools.

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Runner-up
Runner up:
 
 
Dr. Jilles Vreeken
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Certificate of Recognition
 
Certificate of Recognition:
 
Dr. Qiaozhu Mei

Contextual Text Mining

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Certificate of Recognition
 
Certificate of Recognition:
 
Dr. Pauli Miettinen

Matrix Decomposition Methods for Data Mining: Computational Complexity and Algorithms

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2009

Winner
 
 
 
Dr. Jure Leskovec
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Runner-up
Runner up:
 
 
Dr. Arthur Zimek
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Certificate of Recognition
 
Certificate of Recognition:
 
Dr. Aris Gkoulalas-Divanis

From Itemsets Through Trajectories to Location Based Services: A Knowledge Hiding Privacy Approach

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Certificate of Recognition
 
Certificate of Recognition:
 
Dr. Hong Cheng

Towards Accurate and Efficient Classification: A Discriminative and Frequent Pattern-Based Approach

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2008

Winner
 
 
 
Dr. Xiaoxin Yin
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Runner-up
Runner up:
 
 
Dr. Jimeng Sun
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Certificate of Recognition
 
Certificate of Recognition:
 
Dr. David Martens

Building Acceptable Classification Models for Financial Engineering Applications

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Certificate of Recognition
 
Certificate of Recognition:
 
Dr. Pradeep Ravikumar

Approximate inference, structure learning and feature estimation in Markov Random Fields

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