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SIGKDD has hosted an annual conference - ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) - since 1995. KDD Conference grew from KDD (Knowledge Discovery and Data Mining) workshops at AAAI conferences, which were started by Gregory I. Piatetsky-Shapiro in 1989, 1991, and 1993, and Usama Fayyad in 1994. Conference papers of each Proceedings of the SIGKDD International Conference on Knowledge Discovery and Data Mining are published through ACM. KDD is widely considered the most influential forum for knowledge discovery and data mining research.
KDD-2012 took place in Beijing, China, KDD-2013 took place in Chicago, USA, KDD-2014 was in New York City, USA, KDD-2015 was in Sydney, Australia, KDD-2016 was in San Francisco, and KDD-2017 is held in Halifax, Nova Scotia, Canada. A full list of past KDD conferences is available on KDnuggets , a professional news outlet in the field.
The annual ACM SIGKDD conference is recognized as a flagship venue in the field. Based on statistics provided by independent researcher Lexing Xie in her analysis "Visualizing Citation Patterns of Computer Science Conferences" as part of the research in Computation Media Lab at Australian National University:
The annual conference of ACM SIGKDD has received the highest rating A* from independent organization Computing Research and Education (a.k.a. CORE).
The conference imposes a high requirement to present and publish submitted papers. The focus is on innovative research in data mining, knowledge discovery, and large-scale data analytics. Papers emphasizing theoretical foundations are particularly encouraged, as are novel modeling and algorithmic approaches to specific data mining problems in scientific, business, medical, and engineering applications. Visionary papers on new and emerging topics are particularly welcomed. Authors are explicitly discouraged from submitting papers that contain only incremental results or that do not provide significant advances over existing approaches. 
Despite extensive competition and stringent criteria for acceptance, the participation of the conference is overwhelming each year. In 2014, over 2600 authors from at least 14 countries submitted over 1000 papers to the conference. 
In 2014, the acceptance rate of the conference was only 14.6%. It was one of the lowest among top tier conferences in computer science, which typically have an acceptance rate of 15%-25% . Only 151 papers out of over 1000 submitted were accepted for presentation and publication.
Additionally, each year KDD presents a Best Paper Award to recognizes papers presented at the annual SIGKDD conference that advance the fundamental understanding of the field of knowledge discovery in data and data mining. Two research paper awards are granted: Best Research Paper Award Recipients and Best Student Paper Award Recipients.
Winning the ACM SIGKDD Best Paper Award (Best Research Track Paper) is widely considered an internationally recognized significant achievement in a researcher's career. Authors compete with established professionals in the field, such as tenured professors, executives, and eminent industry experts from top institutions. It is common to find press articles and news announcements from the awardees' institutions and professional media to celebrate this achievement. 
This award recognizes innovative scholarly articles that advance the fundamental understanding of the field of knowledge discovery in data and data mining. Each year, the award is given to authors of the strongest paper by this criterion, selected by a rigorous process. 
The selection process follows multiple rounds of peer reviews under stringent criteria. The selection committee consists of leading experts who provide insightful and independent analysis on the merits and degree of innovation of the scholarly articles submitted by each author. The reviewers are required to be recognized subject-experts who had extensive contributions to the specific subject area addressed by the paper. Reviewers are also required to be completely unaffiliated with the authors.
First, all papers submitted to the ACM SIGKDD conference are reviewed by research track program committee members. Each submitted paper is extensively reviewed by multiple committee members and detailed feedback is given to each author. After review, decisions are made by the committee members to accept or reject the paper based on the paper's novelty, technical quality, potential impact, clarity, and whether the experimental methods and results are clear, well executed, and repeatable. During the process, committee members also evaluate the merits of each paper based on above factors, and make decision on recommending candidates for Best Paper Award (Best Research Track Paper).
The candidates for Best Paper Award (Best Research Track Paper) are extensively reviewed by conference chairs and the best paper award committee. The final determination of the award is based on the level of advancement made by authors through the paper to the understanding of the field of knowledge discovery and data mining. Authors of a single paper who made the highest level of advancement to the field are selected as recipients of this award.
Every year, anyone who submits an innovative scholarly article to the ACM SIGKDD conference is considered for this award. Since this conference is a flagship venue in the fields of knowledge discovery and data mining, a primary focus area of artificial intelligence and machine learning, it attracts hundreds to thousands of submissions worldwide every year from top researchers in the field, ranging from students and early career professionals, to established experts and eminent leaders. In 2014, over 2600 authors from more than 14 countries submitted papers to the conference. Every author is considered for this award.
The ACM SIGKDD Best Paper Award (Best Research Track Paper) was given to 49 individuals between 1997 and 2014. Among these individuals, most are distinguished persons and established professionals with celebrated careers, who have made significant contributions to the field.
|1997||Foster Provost||Professor||New York University|
|1997||Tom Fawcett||Principal Data Scientist||Silicon Valley Data Science|
|1998, 1999||Pedro Domingos||Professor||University of Washington|
|2000||Anne Rogers||Associate Professor||University of Chicago|
|2000||Daryl Pregibon||(Former) Head of Statistical Research||AT&T Labs and Bell Labs|
|2000||Kathleen Fisher||Chair & Professor||Tufts University|
|2000||Corinna Cortes||Head of Research|
|2001||Ruben H. Zamar||Professor||University of British Columbia|
|2001||Raymond T. Ng||Professor||University of British Columbia|
|2001||Edwin M. Knorr||Tenured Senior Instructor||University of British Columbia|
|2002||Padhraic Smyth||Professor||University of California, Irvine|
|Associate Director||Center for Machine Learning and Intelligent Systems|
|2002||Darya Chudova||VP of Bioinformatics||Guardant Health|
|2003||Éva Tardos||Professor & Dean||Cornell University|
|2003, 2005||Jon Kleinberg||Professor||Cornell University|
|Member||National Academy of Sciences|
|National Academy of Engineering|
|American Academy of Arts and Sciences|
|2003||David Kempe||Associate Professor||University of Southern California|
|2004||Raymond J. Mooney||Professor||The University of Texas at Austin|
|2004||Mikhail (Misha) Bilenko||Head of AI and Research||Yandex|
|2004||Sugato Basu||Senior Staff Research Scientist|
|2004, 2005||Christos Faloutsos||Professor||Carnegie Mellon University|
|2005||Jure Leskovec||Associate Professor||Stanford University|
|Member, Board of Directors||ACM SIGKDD|
|2006||Thorsten Joachims||Chair & Professor||Cornell University|
|Fellow||ACM, AAAI, Humboldt|
|2007||Srujana Merugu||Principal Data Scientist||Flipkart|
|2007||Deepak Agarwal||VP of Engineering|
|Fellow||American Statistical Association|
|Member, Board of Directors||ACM SIGKDD|
|2008||Wei Wang||Chair & Professor||University of California, Los Angeles|
|Director||Scalable Analytics Institute|
|2008||Fei Zhou||Professor||University of Florida|
|2008||Xiang Zhang||Associate Professor||Pennsylvania State University|
|2009||Yehuda Koren||Staff Research Scientist|
|2010||Carlos Guestrin||Director of Machine Learning||Apple Inc|
|Professor||University of Washington|
|Co-founder, CEO||Turi (a.k.a. Dato, GraphLab)|
|2010||Dafna Shahaf||Assistant Professor||The Hebrew University of Jerusalem|
|2010||Kai-Wei Chang||Assistant Professor||University of California, Los Angeles|
|2010||Cho-Jui Hsieh||Assistant Professor||University of California, Davis|
|2010||Hsiang-Fu Yu||Applied Scientist||Amazon|
|2010||Chih-Jen Lin||Distinguished Professor||National Taiwan University|
|Fellow||ACM, AAAI, IEEE|
|2011||Claudia Perlich||Chief Scientist||Dstillery|
|Adjunct Professor||New York University|
|2011||Saharon Rosset||Associate Professor||Tel Aviv University|
|2011||Shachar Kaufman||Senior Data Scientist||Metromile|
|2012||Thanawin Rakthanmanon||Assistant Professor||Kasetsart University, Thailand|
|2012||Bilson Campana||Staff Software Engineer|
|2012||Abdullah Mueen||Assistant Professor||University of New Mexico|
|2012||Gustavo Batista||Associate Professor||Universidade de São Paulo|
|2012||Brandon Westover||Director, Critical Care EEG Monitoring Service||Massachusetts General Hospital|
|2012||Qiang Zhu||Data Science Manager||Airbnb|
|2012||Jesin Zakaria||Software Engineer||Microsoft|
|2012||Eamonn Keogh||Professor||University of California, Riverside|
|2013||Edo Liberty||Principal Scientist||Amazon|
|Group Manager||Amazon AI Algorithms|
|2014||Alex Smola||Director of Machine Learning and Deep Learning||Amazon|
|Professor||Carnegie Mellon University|
|2014||Sujith Ravi||Staff Research Scientist|
|2014||Amr Ahmed||Staff Research Scientist|
|(Former) Lead Inference Engineer||Scaled Inference|
This only difference between "Best Student Paper Award" and "Best Paper Award (Best Research Track Paper)" is the limitation in competition.
All authors participating the conference are considered equally for "Best Paper Award (Best Research Track Paper)", and the award does not limit competition to any particular region, population, or age group.
However, "Best Student Paper Award" is limited to student authors only. "Best Student Paper Award" recognizes papers presented at the annual SIGKDD conference, with a student as a first author, that advance the fundamental understanding of the field of knowledge discovery in data and data mining. 
SIGKDD has also published a biannual academic journal titled "SIGKDD Explorations" since June, 1999 when Usama Fayyad took on role of Founding Editor-inChief as ACM SIGKDD was formed . Editors in Chief:
The original founding Board of Directors of SIGKDD in 1998 consist of:
Former Executive Committee (2009-2013)