Awards

2024 PAKDD Distinguished Research Contributions Award Nomination

2024 PAKDD Distinguished Service Award Nomination

2024 PAKDD Early Career Research Award Application

2024 PAKDD Student Travel Award Application

2024 PAKDD Distinguished Research Contributions Award Nomination

PAKDD-2024 will provide the Distinguished Research Contributions Award to recognize an individual in our community who has made significant research contributions to the advancement of knowledge discovery and data mining areas. The recipient will receive the award at the annual PAKDD conference during the award session.

Eligibility

  1. Anyone in the field can be nominated. A nominator can at most nominate one person in one year. Self-nominations are excluded.
  2. The cases whose nominees are members of the current PAKDD Senior Award Selection Committee which handles the selection of this award will not be considered.

Please use the nomination form to nominate and describe clearly and substantively the research contributions of the nominee, using publications, products, awards, or other facts (e.g., citations, H-Index, major lasting impacts to the field) as evidences if so applicable.

Submission

The nominator should email the nomination form (in PDF) by March 17, 2024 (23:59:59 PST) to the PAKDD Senior Award Selection Committee Chair, Ming-Syan Chen (email: mschen@ntu.edu.tw), with the email title “PAKDD24: Distinguished Research Contributions Award Nomination”. The selection result will be announced in the annual PAKDD conference.

Download Nomination Form Here

2024 PAKDD Distinguished Service Award Nomination

PAKDD-2024 will provide the Distinguished Service Award to recognize an individual who has made outstanding service to the community of Knowledge discovery and data mining. The recipient will receive the award at the annual PAKDD conference during the award session.

Eligibility

  1. Anyone in the field can be nominated. A nominator can at most nominate one person in one year. Self-nominations are excluded.
  2. The cases whose nominees are members of the current PAKDD Senior Award Selection Committee which handles the selection of this award will not be considered.

Please use the nomination form to nominate and describe clearly and substantively the value and the degree of the service the nominee has made, with an emphasis on how the service made is important to the evolvement of the PAKDD community.

Submission

The nominator should email the nomination form (in PDF) by March 17, 2024 (23:59:59 PST) to the PAKDD Senior Award Selection Committee Chair, Ming-Syan Chen (email: mschen@ntu.edu.tw), with the email title “PAKDD24: Distinguished Service Award Nomination”. The selection result will be announced in the annual PAKDD conference.

Download Nomination Form Here

2024 PAKDD Early Career Research Award Application

Thanks to PAKDD Steering Committee, PAKDD will provide Early Career Research Award to an individual in the first 10 years after PhD. The award aims to promote young researchers in KDD fields when they create their career. It consists of a plaque (and potentially cash) to the awardee. The recipient will receive the award at the annual PAKDD Conference during the awards session.

For any questions, please contact the PAKDD Junior Award Selection Committee Chair, Raymond Wong (email: raywong@cse.ust.hk ).

Eligibility

  1. Anyone in the field can nominate one person. Self-nominations are excluded. The nominator should obtain the endorsement from the nominee before nomination.
  2. The nominee's PhD should have been awarded no earlier than December 31st, current year - 11 years. For example, for the year 2024 awards, this means no earlier than 31st December 2013.
  3. The nominee can be anyone except the current PAKDD Award Selection Committee.
  4. The nominee must have published at least one full/long paper in PAKDD, and attended at least one PAKDD conference to present his/her results.

Selection Criteria

The application is evaluated based on the nominee's overall research contributions, leadership, and service in KDD fields since the awarding of the PhD. The awardee should commit to attend the PAKDD 2024 ceremony on-site to receive the award.

The Award Selection Committee will evaluate all nominations and decide on zero or more winners.

Submission Details

The nominator should send a single PDF file containing all the following documents by March 17, 2024 (23:59:59 PST) to the current PAKDD Award Selection Committee Chair, Raymond Wong (email: raywong@cse.ust.hk ). The email title is “PAKDD: Application of 2024 PAKDD Early Career Research Award”. In the email, please include the nominee in the CC list.

  1. Statement including the following. Please use the given form at the end of this document for submission.
    1. Nominator Information
      1. Name
      2. Email Address
      3. Affiliation
      4. Homepage URL
    2. Nominee Information
      1. Name
      2. Email Address
      3. Affiliation
      4. Homepage URL
      5. Proposed Citation of Nominee (up to 25 words)
      6. Detailed Statement to Justify the nomination (500 words or fewer)
  2. Endorsement Letter (approximate 1 page) written by at least one SC (Steering Committee) member who is not the nominator. The letter should include detailed statement about the nominee's overall research, leadership, and service contributions in KDD fields since the awarding of the PhD.
  3. Certificate showing PhD degree awarding intuition and the time receiving the PhD degree

Only PDF files are accepted. No other file formats are accepted. Submissions violating the above guideline will be disregarded.

Notifications will be sent to the nominators and the nominees by April 7, 2024 (23:59:59 PST).

Nominations that did not result in an award in the current year can be re-submitted or updated in subsequent years as long as the eligibility conditions for the award still hold.

Download Nomination Form Here

2024 PAKDD Student Travel Award Application

Thanks to PAKDD Steering Committee, PAKDD will provide a number of Student Travel Awards to student authors of accepted papers to help them cover part of the cost for attending the conference to present their work. The amount of award for different winners may be different according to the needs of the applicants and the capacity of the fund. Typically, the amount for each award should be at most USD $500.

Applicants receiving the travel awards are required to

  • attend the conference,
  • help the conference organizers in activities during the conference,

For any questions or doubts, please contact the PAKDD Junior Award Selection Committee Chair, Raymond Wong (email: raywong@cse.ust.hk ).

Eligibility

Only full-time students (including undergraduate students and graduate students) with an accepted PAKDD 2024 paper are eligible for this award.

Selection Criteria

The following shows the selection criteria.

  1. Whether the applicant has an accepted PAKDD 2024 paper
  2. Applicant's Contribution to the paper
  3. Paper type (e.g., oral and poster)
  4. Financial need
  5. Quality of research statement
  6. Whether the applicant obtained PAKDD travel awards before
  7. Whether the applicant is from an underrepresented group

PAKDD has historically drawn participants from specific groups (e.g., some countries). It has also been predominantly male. We recognize that we must change our approach and explicitly facilitate involvement from underrepresented groups in order to move the needle. If the applicant feels that his/her presence at PAKDD would help us address these representational and inclusion disparities, please include a 1 paragraph section "Representation" with a brief explanation as part of his/her submission. Higher priority will be given to applicants from underrepresented groups.

Submission Details

Please submit a single PDF file containing all the following documents to Track “2024 PAKDD Student Travel Award” of https://cmt3.research.microsoft.com/PAKDD2024 by March 17, 2024 (23:59:59 PST).

  1. Two-Page Statement (with the PAKDD full paper format) including the following.
    1. PAKDD Paper Details
      1. Paper number
      2. Paper title
      3. Author list
        1. Please identify the role of each co-author (e.g., advisor, collaborating professor/researcher and collaborating student)
        2. Please briefly describe the contribution of the applicant and that of each of his/her co-authors in the paper
        3. Please state who will present the paper in the conference
      4. Paper type (e.g., oral and poster)
    2. Research Statement
      1. Research Interest
      2. Applicant's Achievement
      3. Research Future Plan
      4. How Attending PAKDD Helps Applicant's Career Development
    3. Financial Issues
      1. The amount of award the applicant applied for
      2. An estimation of the applicant's cost for attending the conference (with detailed justifications)
      3. Financial support the applicant has obtained from other channels
      4. How the applicant covers the other costs since the Travel Award could only help him/her cover part of his/her cost.
    4. Past PAKDD Travel Award
      1. State whether the applicant obtained PAKDD travel awards before. If yes, please give the year of each award obtained
    5. Other Materials (which could help the application) (e.g., “Representation”) (if any)
  2. Applicant's CV (with 1-2 pages) including the following and other personal profile information.
    1. full name,
    2. email address,
    3. gender,
    4. nationality,
    5. institution,
    6. mode of study (e.g., full time and part time),
    7. type of study (e.g., undergraduate, MSc and PhD),
    8. name of the program (e.g., “PhD in Computer Science and Engineering”), and
    9. the number of years that the applicant has studied
  3. Proof of the applicant's student status: This can be a copy of the applicant's student ID card (including the applicant's name and affiliation with the institution), or a signed letter from the applicant's advisor.
  4. Supporting letter of recommendation: 1-page recommendation letter from the applicant's advisor which
    1. confirms the applicant's full-time student status,
    2. describes the applicant's contribution in the accepted PAKDD paper,
    3. describes how the applicant will benefit from attending PAKDD,
    4. explains the applicant's need for this travel award, and
    5. states whether there is another funding available to cover the expenses

Only PDF files are accepted. No other file formats are accepted. Submissions violating the above guideline will be disregarded.

Notifications will be sent to the applicants by April 7, 2024 (23:59:59 PST).


2005

Distinguished Contribution Award

Professor Hongjun Lu

Best Student Award

  • Adam Woznica, Alexandros Kalousis and Melanie Hilario. Kernels over Relational Algebra Structures
  • Arnaud Soulet and Bruno Crémilleux. An Efficient Framework for Mining Flexible Constraints”


2006

Distinguished Contribution Award

Professor Hiroshi Motoda

Most Influential Paper Award

Clustering Large Data Sets with Mixed Numeric and Categorical Values by Zhexue Huang. Proceedings of the 1st Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD 1997), Singapore, World Scientific, 1997. Pages 21-35


2007

Distinguished Contribution Award

The 2007 award for most distinguished contribution went to Professor Ramamohanarao Kotagiri, FIEAust, FTSE, FAA, Professor, Department of Computer Science and Software Engineering, The University of Melbourne. Professor Kotagiri has a long and distinguished academic research career. He is well known for his pioneering work on hashing and information retrieval in database management, new techniques for intelligent, efficient and expressive database queries, the theory and practice of emerging patterns, intrusion detection and text mining. His publications have appeared in many highly regarded conferences and journals, including PAKDD, KDD, ICDM and PKDD, and IEEE TKDE, Data Mining and Knowledge Discovery, Machine Learning and Knowledge and Information Systems. He is a member of the Australian Academy of Science and also the Australian Academy of Technological Science and Engineering. He has also served on the Prime Minister’s Science and Engineering Innovation Council.

Most Influential Paper Award

Enhancing Effectiveness of Outlier Detections for Low Density Patterns, by Jian Tang, Zhixiang Chen, Ada Wai-Chee Fu, and David Wai-Lok Cheung. In Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, (PAKDD 2002), Lecture Notes In Computer Science, Vol 2035, Pages 247-259.


2008

Most Influential Paper Award

An Analysis of Quantitative Measures Associated with Rules by Yiyu Yao and Ning Zhong. Proceedings of the 3rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD 1999), Lecture Notes In Computer Science, Vol 1574, Springer, 1999


2009

Distinguished Contribution Award

The 2009 award for most distinguished contribution went to Professor David Cheung, Head of the Department of Computer Science and Director of the Center for E-Commerce Infrastructure Development, of the University of Hong Kong for his persistent outstanding contributions to PAKDD and eminent academic record. The citation for the award notes that Professor Cheung has been associated with the PAKDD Conference since it inception, serving on the steering committee since 2001 including a period as the chair of the steering committee. He was chair of the program committee of the fifth and ninth PAKDD conferences, in 2001 and 2005 and conference chair of PAKDD 2007. Professor Cheung has actively promoted the conference series in the Asia Pacific region and beyond and continues to encourage his own students and colleagues to contribute to the PAKDD series of conferences. Professor Cheung has a distinguished academic research career, introducing many new students to data mining and pushing forward the boundaries of research in data mining. His publications appear in many highly regarded conferences and journals. He and his students continue to support PAKKD as a conference of choice for presentation of esearch.

Most Influential Paper Award

Mining Access Patterns Efficiently from Web Logs by Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Hua Zhu. Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD 2000), Lecture Notes In Computer Science, Vol 1805, Springer, 2000


2010

Distinguished Contribution Award

The 2010 award for Most Distinguished Contribution went to Professor Masaru Kitsuregawa of the University of Tokyo. Masaru has been very active in his support and contribution to PAKDD over many years. He has served various roles in a number of PAKDD conferences, including as conference chair for 2000, 2009 and 2010, and program co-chair for 2006. He continues to provide guidance as a life member of the PAKDD Steering Committee. He is also a highly respected researcher in data mining and databases. He was a member of the VLDB Trustee during 1996-2002. He served as the co-general chair of IEEE ICDE 2005, held in Tokyo. He is serving as an Asian Coordinator of the IEEE Technical Committee on Data Engineering as well as chair of several well known database and data mining conferences. He is leading a large project named ‘Info-plosion’ in Japan. In 2009 he received the ACM SIGMOD E. F. Codd Innovation Award.

Most Influential Paper Award

Feature Selection for Clustering by Manoranjan Dash and Huan Liu. Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2000), Lecture Notes In Computer Science, Vol 1805, Springer, 2000. Pages 110 - 121.

Best Paper Award

  • Best Paper Leman Akoglu, Mary McGlohon and Christos Faloutsos. OddBall: Spotting Anomalies in Weighted Graphs

  • Best Paper Runner Up Tao Yang, Longbing Cao and Chengqi Zhang. A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K>=1

  • Best Student Paper Wanhong Xu. Supervising Latent Topic Model for Maximum-Margin Text Classification and Regression

  • Best Student Paper Runner Up Pallika Kanani, Andrew McCallum and Shaohan Hu. Resource-bounded Information Extraction: Acquiring Missing Feature Values On Demand


2011

Distinguished Contribution Award

The 2011 award for Most Distinguished Contribution went to Professor Graham Williams, Director and Senior Data Miner of the Australian Taxation Office, and Adjunct Professor, Australian National University, University of Canberra, and Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. Graham is a key supporter of PAKDD and has made significant contribution to PAKDD since the inauguration of the conference. He has served in many roles in the PAKDD conference series. He has been the Steering Committee Co-Chair and Treasurer since 2001. He was the Organization Committee Chair of PAKDD 1998, Program Co-Chair of PAKDD 2001, Industrial Chair of PAKDD 2004 and the Tutorial Chair of PAKDD 2007. He is also the founder and Steering Committee Co-Chair of the Australasian Data Mining Conference series. Graham has made significant technical contributions with considerable success in the application of data mining technology to real world problems. His pivotal role in deploying data mining in industry was recognised by the Australian Taxation Office with an Innovation Award in 2006 and an Australia Day award in 2007. Graham has published extensively in data mining in many important conferences and journals. He is the author of the immensely popular open source Rattle data mining software and a keen advocate of freely sharing research software. His Internet book Data Mining Desktop Survival Guide is a highly popular tool book for data mining practitioners and this will be published shortly under the title Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discover, by Springer.

Most Influential Paper Award

Evaluation of Interestingness Measures for Ranking Discovered Knowledge by Robert J. Hilderman and Howard J. Hamilton. Lecture Notes In Computer Science, Vol 2035. Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2001. Pages 247 - 259. This paper introduced a new framework for considering how we measure the interestingness of discoveries, and has been adopted widely by other researchers.


2012

Distinguished Contribution Award

The 2012 award for Most Distinguished Contribution went to Professor Huan Liu of the Arizona State University, USA. Professor Liu has been involved in PAKDD from its beginnings in Singapore 16 years ago. He has been an active participant and, importantly, has helped guide PAKDD to ensure its ongoing quality a