Data Mining and Knowledge Discovery

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Academic status

Since its founding in 1997, this journal has become the most influential academic journal in the field.[ citation needed ] Each year, it currently publishes about 60 articles in six issues. It has one of the highest index ratings and is considered authoritative academically.

Editors in chief

The following individuals have served as editor-in-chief of the journal:

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SIGKDD, representing the Association for Computing Machinery's (ACM) Special Interest Group (SIG) on Knowledge Discovery and Data Mining, hosts an influential annual conference.

Jiawei Han is a Chinese-American computer scientist and researcher. He currently holds the position of Michael Aiken Chair Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. His research focuses on data mining, text mining, database systems, information networks, data mining from spatiotemporal data, Web data, and social/information network data.

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<span class="mw-page-title-main">DBSCAN</span> Density-based data clustering algorithm

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<span class="mw-page-title-main">Usama Fayyad</span> American computer scientist

Usama M. Fayyad is an American-Jordanian data scientist and co-founder of KDD conferences and ACM SIGKDD association for Knowledge Discovery and Data Mining. He is a speaker on Business Analytics, Data Mining, Data Science, and Big Data. He recently left his role as the Chief Data Officer at Barclays Bank.

Geoffrey I. Webb is Professor of Computer Science at Monash University, founder and director of Data Mining software development and consultancy company G. I. Webb and Associates, and former editor-in-chief of the journal Data Mining and Knowledge Discovery. Before joining Monash University he was on the faculty at Griffith University from 1986 to 1988 and then at Deakin University from 1988 to 2002.

<span class="mw-page-title-main">Gregory Piatetsky-Shapiro</span> American computer scientist

Gregory I. Piatetsky-Shapiro is a data scientist and the co-founder of the KDD conferences, and co-founder and past chair of the Association for Computing Machinery SIGKDD group for Knowledge Discovery, Data Mining and Data Science. He is the founder and president of KDnuggets, a discussion and learning website for Business Analytics, Data Mining and Data Science.

Domain driven data mining is a data mining methodology for discovering actionable knowledge and deliver actionable insights from complex data and behaviors in a complex environment. It studies the corresponding foundations, frameworks, algorithms, models, architectures, and evaluation systems for actionable knowledge discovery.

Sushmita Mitra is an Indian computer scientist and is currently the head and INAE Chair Professor at the Machine Intelligence Unit at Indian Statistical Institute, Kolkata. Her research interests include pattern recognition, data mining, bioinformatics, soft computing and medical imaging. She got recognised as a fellow of IEEE for her neuro-fuzzy and hybrid approaches in pattern recognition.

<span class="mw-page-title-main">Mark Boguski</span> American pathologist (died 2021)

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<span class="mw-page-title-main">Martin Ester</span>

Martin Ester is a Canadian-German Full Professor of Computing Science at Simon Fraser University. His research focuses on researcher data mining and machine learning.

<span class="mw-page-title-main">Hui Xiong</span>

Hui Xiong is a data scientist. He is a Distinguished Professor at Rutgers University and a Distinguished Guest Professor at the University of Science and Technology of China (USTC).

References

  1. Fayyad, Usama (1 July 1997). "Editorial - First issue of the journal". Data Mining and Knowledge Discovery. 1 (1): 5. doi:10.1023/A:1009715820935.