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个人简介
Ralf Klinkenberg, founder and head of research at RapidMiner, is a data-driven entrepreneur with more than 30 years of experience in machine learning and advanced data analytics research, software development, consulting, and applications in the automotive, aviation, chemical, finance, healthcare, insurance, internet, manufacturing, pharmaceutical, retail, software, and telecom industries. He holds Master of Science degrees in computer science with focus on artificial intelligence, machine learning, and predictive analytics from Technical University of Dortmund, Germany, and Missouri University of Science and Technology (MST), Rolla, MO, USA. In 2001 he initiated the open source data mining software project RapidMiner and in 2007 he founded the predictive analytics software company RapidMiner with Dr. Ingo Mierswa. In 2008 he won the European Open Source Business Award and 2016 he was awarded the European Data Innovator Award. In 2017 the German government invited him to the steering committee of the “Plattform Lernende Systeme”, an initiative of the German government to promote the use of machine learning and artificial intelligence in industry and society, which he serves since then. In 2018 and 2020 he advised the German government in the formulation of its artificial intelligence strategy. The "Who’s Who in Data Science & Machine Learning 2021" by Onalytica named RapidMiner as one of the top 3 data science platform providers world-wide and Ralf Klinkenberg as one of the leading experts and influencers for data science and machine learning. Ralf Klinkenberg is co-organizer of the Industrial Data Science (IDS) conference series. He is passionate about learning in humans and machines as well as about how to leverage data to make organization more data-driven, more agile, more efficient and effective, and more successful using data mining and machine learning, both from a business and a technical perspective. Today RapidMiner has 770,000+ registered users in 150+ countries world-wide and is one of the most widely used predictive analytics platforms world-wide. In the last seven years, Analysts of Forrester and of Gartner repeatedly named RapidMiner as a leader and visionary among the machine learning and data science platform providers.
研究兴趣
论文共 53 篇作者统计合作学者相似作者
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PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023pp.5204-5207, (2023)
Zenodo (CERN European Organization for Nuclear Research) (2023)
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Marco Di Renzo, Qian Xing-san,Halid Hrasnica,Nikos Katzouris,Kyriakos Manganaris,Dimitrios Selimis,F. Lazarakis,Tachporn Sanguanpuak, Heikki Halmetoja, Moamen Ibrahim,Edwin Yaqub,Rachana Desai,Ralf Klinkenberg,Joonas Kokkoniemi,Alexandros‐Apostolos A. Boulogeorgos,Sotiris Droulias,Angeliki Alexiou
Zenodo (CERN European Organization for Nuclear Research) (2023)
Rafael Cantó, José F. Hernandez-Gil, Zoraida Frías, Joaquín Pérez,Joonas Kokkoniemi,Edwin Yaqub,Ralf Klinkenberg,Angeliki Alexiou,Jari Korhonen,F. Lazarakis, All project partners
Zenodo (CERN European Organization for Nuclear Research) (2023)
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Industrielle Datenanalysepp.65-76, (2023)
2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)pp.2052-2057, (2021)
Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems (2021)
Frontiers in communications and networks (2021)
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作者统计
#Papers: 53
#Citation: 4145
H-Index: 23
G-Index: 36
Sociability: 5
Diversity: 1
Activity: 2
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