SIGKDD

Dr. Eamonn Keogh, Co-Founder of FarmSense and Distinguished Professor, is Awarded the 2022 ACM SIGKDD Test of Time Award for His Important Impact in Data Mining

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Wednesday, August 17, 2022
Plague, Intelligence, United States Department of Agriculture, Farmer, Carbon, Database, National Institute, ACM, Research, National Institutes of Health, KDD, Microsoft, United States Department of Defense, Data mining, Economic Times Awards, Small Business Innovation Research, Mining, SIGKDD, Bill & Melinda Gates Foundation, Paper, National Science Foundation, University, Entomology, SBIR, Conference, University of California, Riverside, Organization, Agriculture, Google

RIVERSIDE, Calif., Aug. 17, 2022 /PRNewswire/ -- Today, FarmSense announces that co-founder and professor at University of California, Riverside, Dr. Eamonn Keogh, has been honored with the 2022 ACM SIGKDD Test of Time Award. This esteemed award is presented to authors of outstanding papers featured at past KDD conferences that have remained impactful to the community of data mining researchers over the last decade.

Key Points: 
  • Dr. Keogh's expertise in data mining has been a key to developing an accurate and sustainable solution.
  • To add to the prestige of the ACM SIGKDD Test of Time Award, Dr. Keogh's paper also won SIGKDD's Best Paper Award ten years ago.
  • About FarmSense: Founded in 2016, FarmSense helps farmers simplify pest management and take the guesswork out of insect monitoring.
  • The company's patented technology provides real-time insect counts and classifications through a smart field sensor that connects wirelessly to the cloud.

KDD 2022 Reveals Schedule of Data Mining and Knowledge Discovery Papers Chosen for the Conference

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Wednesday, August 10, 2022
Knowledge, Washington Convention Center, Walter, Industry, CITES, ACM, Research, KDD, Special, Data mining, Interest group, Data science, SIGKDD, Walter E. Washington Convention Center, Deep learning, Science, Ethics, University, Conference, University of California, Mining, Special Interest Group on Knowledge Discovery and Data Mining, Online shopping, Pharmaceutical industry

WASHINGTON, Aug. 10, 2022 /PRNewswire/ -- KDD 2022, the premier interdisciplinary conference in data science, today announced the official lineup of research and applied data science papers that will be presented at the conference. Registration is open for KDD 2022, to be held in Washington, D.C. at the Walter E. Washington Convention Center starting August 14, 2022.

Key Points: 
  • Selected from over 2,000 submissions, these papers will be featured at KDD 2022 in Washington, D.C. from August 16-18, 2022
    WASHINGTON, Aug. 10, 2022 /PRNewswire/ -- KDD 2022 , the premier interdisciplinary conference in data science, today announced the official lineup of research and applied data science papers that will be presented at the conference.
  • KDD 2022 welcomes submissions on all aspects of knowledge discovery and data mining, from theoretical research on emerging science to papers assessing.
  • Both the research papers track and the applied data science papers track will take place August 16-18, 2022.
  • ACM is the premier global professional organization for researchers and professionals dedicated to the advancement of the science and practice of knowledge discovery and data mining.SIGKDD is ACM's Special Interest Group on Knowledge Discovery and Data Mining.The annual KDD International Conference on Knowledge Discovery and Data Miningis thepremierinterdisciplinary conference for data mining, data science and analytics.

KDD 2021 Celebrates Winning Teams of 25th Annual KDD Cup

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Tuesday, October 19, 2021
Knowledge, Benchmark, Dai, Shanghai Jiao Tong University, ACM, Data mining, Association, Data science, OGB, Special, Human, University, Ecosystem, University of California, Institute for Prediction Technology, Special Interest Group on Knowledge Discovery and Data Mining, SAN, Intel, Stanford University, LSC, Association for Computing Machinery, Technical University of Dortmund, Superhelix, Time series, Industry, Conference, KDD, Interest group, SIGKDD, Science, Typesetting, Television set, Film, Tea, Pharmaceutical industry

SAN DIEGO, Oct. 19, 2021 /PRNewswire/ --The Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) today recognized the winning teams of this year's KDD Cup, the annual competition held at KDD 2021, the premier interdisciplinary conference in data science.

Key Points: 
  • SAN DIEGO, Oct. 19, 2021 /PRNewswire/ --The Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) today recognized the winning teams of this year's KDD Cup, the annual competition held at KDD 2021, the premier interdisciplinary conference in data science.
  • KDD Cup 2021 crowdsourced participants who are helping to solve challenges within knowledge discovery and data mining.
  • KDD Cup 2021 winners include:
    First place went to DeepBlueAI, which included Zhixing He, Xu Zhang, and Jin Wang.
  • The 26th Annual KDD Cup will take place in conjunction with KDD 2022 on Aug. 14-18, 2022 in Washington, D.C. For additional information on this year's cup and winners, please contact [email protected].

KDD 2021 Honors Recipients of the SIGKDD Best Paper Awards

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Tuesday, September 28, 2021
Dai, Knowledge, Data science, Harold, Northwestern University, Seoul National University, Policy, Special, National university, Microsoft Research, University of California, Champaign–Urbana metropolitan area, Qatar Computing Research Institute, Special Interest Group on Knowledge Discovery and Data Mining, Infection, Interest group, National University of Singapore, Conference, University of Virginia, Beijing Institute of Technology, Engineering, Association, Data mining, Microsoft, Association for Computing Machinery, University of Vienna, SIGKDD, Method, Beijing, Autologistic actor attribute models, University, Qatar, SAN, DRL, Stanford University, University of Illinois Urbana-Champaign, DiDi, Science, COVID-19, Algorithm, KDD, Paper, Machine learning, The Muse (student paper), Data collection, ACM, Discovery, Pharmaceutical industry, Management

SAN DIEGO, Sept. 28, 2021 /PRNewswire/ --The Association for Computing Machinery (ACM) Special Interest Group onKnowledge Discovery and Data Mining (SIGKDD) today announced the recipients of the SIGKDD Best Paper Awards, recognizing papers presented at the annual SIGKDD conference that advance the fundamental understanding of the field of knowledge discovery in data and data mining.

Key Points: 
  • SAN DIEGO, Sept. 28, 2021 /PRNewswire/ --The Association for Computing Machinery (ACM) Special Interest Group onKnowledge Discovery and Data Mining (SIGKDD) today announced the recipients of the SIGKDD Best Paper Awards, recognizing papers presented at the annual SIGKDD conference that advance the fundamental understanding of the field of knowledge discovery in data and data mining.
  • Winners were selected from more than 2,200 papers initially submitted for consideration to be presented at KDD 2021, which took place Aug. 14-18.
  • Of the 394 papers chosen for the conference, three awards were granted: Best Paper in the Research Track, Best Paper in the Applied Data Science Track, and Best Student Paper.
  • The technical program committees for the Research Track and the Applied Data Science Track identified and nominated a highly selective group of papers for the Best Paper Awards.

SIGKDD Honors Groundbreaking Achievements in Knowledge Discovery and Data Mining

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Friday, August 13, 2021
Cloud, Knowledge, Test, Microsoft, Data mining, Discovery, Intelligent Community Forum, Interest group, Research, Science, University of California, Represent, LinkedIn, KDD, Champaign–Urbana metropolitan area, University, Learning, University of California, Berkeley School of Information, Machine learning, Rice University, Head, Rising Star Award, SIGKDD, Champaign County, Illinois, Growth, Facebook, Significance, Volunteering, Algorithm, Economic Times Awards, ACM, Association for Computing Machinery, Association, Artificial intelligence, Data science, Student, Joint CMU-Pitt Ph.D. Program in Computational Biology, Industry, Medical device, Public relations

SINGAPORE, Aug. 13, 2021 /PRNewswire/ -- The Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) today announced the recipients of the 2021 ACM SIGKDD Awards for exemplary individuals and research teams in data science, machine learning, big data and artificial intelligence (AI). Ahead of the organization's annual conference on Aug. 14-18, the awards program recognizes those who have made a lasting impact in the industry.

Key Points: 
  • "The KDD conference has long served as an international platform that showcases the most innovative research in data mining and knowledge discovery," said Wei Wang, SIGKDD chair and professor in computer science at the University of California, Los Angeles.
  • The ACM SIGKDD Innovation Award is the highest honor for technical excellence in knowledge discovery and data mining.
  • The award honors an individual or group of collaborators for outstanding contributions to professional KDD societies or society-at-large through applications of knowledge discovery and data mining.
  • "The KDD conference has been celebrating the contributors in knowledge discovery and data mining for over two decades," said Dr. Hu.

KDD 2019 Announces Duke University Computer Scientist and Microsoft Healthcare Executive as Keynote Speakers for 25th Annual Conference

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Thursday, June 27, 2019
Formal sciences, Data analysis, SIGKDD, KDD, Data mining, Anchorage, Alaska, Data science, Computing, Academic disciplines, Digital technology, Usama Fayyad, Gregory Piatetsky-Shapiro

NEW YORK, June 27, 2019 /PRNewswire/ -- KDD 2019 , the premier interdisciplinary data science conference, today announced Cynthia Rudin, Ph.D., associate professor of computer science at Duke University, and Peter Lee, Ph.D., corporate vice president at Microsoft Healthcare, will be keynote speakers at the 25th annual conference.

Key Points: 
  • NEW YORK, June 27, 2019 /PRNewswire/ -- KDD 2019 , the premier interdisciplinary data science conference, today announced Cynthia Rudin, Ph.D., associate professor of computer science at Duke University, and Peter Lee, Ph.D., corporate vice president at Microsoft Healthcare, will be keynote speakers at the 25th annual conference.
  • "Dr. Lee's work in artificial intelligence and cloud computing for healthcare is helping shape the next generation of software and tools at Microsoft.
  • KDD 2019 will be held at the Dena'ina Convention Center and William Egan Convention Center in Anchorage, Alaska, Aug. 4-8, 2019.
  • The annual KDD International Conference on Knowledge Discovery and Data Mining is the premier interdisciplinary conference for data mining, data science and analytics.

A Rising Chinese AI Company Coming into Spotlight at IEEE ICDM 2018 with Revolutionary Big Wisdom Framework

Retrieved on: 
Monday, November 26, 2018
Data mining, SIGKDD, Formal sciences, Information science, Computer science, Information technology

BEIJING, Nov. 26, 2018 /PRNewswire/ -- The 18th IEEE International Conference on Data Mining (ICDM 2018) closed with great success on November 20, 2018, in Singapore.

Key Points: 
  • BEIJING, Nov. 26, 2018 /PRNewswire/ -- The 18th IEEE International Conference on Data Mining (ICDM 2018) closed with great success on November 20, 2018, in Singapore.
  • MiningLamp is a rising industrial AI solutions company in China, and it is known as the Chinese version of Palantir with very promising ambitions.
  • Big Wisdom starts with Bigdata, discovers Big Knowledge, and facilitates human and machine synergism for complex problem solving.
  • He is the 2004 ACM SIGKDD Service Award winner and the 2006 IEEE ICDM Outstanding Service Award winner.