This is our list of top influencers in Data Mining to follow in Twitter/Linkedin. The listing was indeed tough and we don’t claim it to be the complete list. Let us know in case we missed any names.
Influencers to follow in Data Mining
Gregory Piatetsky-Shapiro: President of KDnuggets, which provides analytics and data mining consulting. Gregory is a founder of KDD (Knowledge Discovery and Data mining conferences) and the editor and publisher of KDnuggets News, the leading newsletter on data mining and knowledge discovery (published since 1993), and the KDnuggets.com. @kdnuggets
Kirk Borne: Data Scientist, Data Mining Specialist, Professor of Astrophysics and Computational Science, Big Data Consultant and Advisor. Kirk Borne has extensive experience in large scientific databases and information systems, including expertise in scientific data mining. @kirkdborne
Eric A. King: Founder and President, The Modeling Agency (TMA), which enables those who are data-rich yet information-poor to establish and maintain their own internal predictive modeling practice. Eric has represented machine learning technology, productized data mining solutions, and managed predictive analytics projects and teams for over 19 years. @data_mining
Dean Abbott: Founder and President of Abbott Analytics, Inc. Data Mining and Predictive Analytics consultant, trainer, mentor, and conference speaker. Passionate about using data to improve business decisions and efficiency. @deanabb
Frank Podlaha: Cloud Solution Architect and owner of Carp Data Service, a data mining software and consulting company. He has 20 years of I.T. experience as a computer programmer, database and data mining expert, and corporate manager. @CarpData
Bruce Ratner: Author of the best-selling book Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data. He is an often-invited speaker at public industry events, e.g., SAS Data Mining Conference, and private seminars of Fortune Magazine’s Top 100 Companies. @bruceratner
Dr. Vincent Granville: A visionary data scientist with 15+ years of big data, predictive modeling, digital and business analytics experience. Founder of Data Science Central, a leading social network for big data, business analytics, data mining and data science practitioners. @analyticbridge
Randall Matignon: Author of Data Mining Using SAS Enterprise Miner and Neural Network Modeling Using SAS Enterprise Miner. For over 20 years, he has been a SAS programmer and Microsoft Office application developer. @randallmatignon
Jason H. Moore: Editor-in-Chief of the journal BioData Mining, Third Century Professor, Director of http://iQBS.org at Dartmouth College. @moorejh
John F. Elder IV: President of Elder Research Inc. (ERI), a data mining consulting team. Co-author of Handbook of Statistical Analysis & Data Mining Applications, Ensemble Methods in Data Mining: Improving Accuracy through Combining Predictions, and Practical Text Mining. @JohnElder
Tom Khabaza: Long-time data miner and Founding Chairman at Society of Data Miners. Author of Clementine & CRISP-DM. @tomkhabaza
Rakesh Agrawal: A Microsoft Technical Fellow and heads the Search Labs in Microsoft Research. Well-known for developing fundamental data mining concepts and technologies and pioneering key concepts in data privacy, including Hippocratic Database, Sovereign Information Sharing, and Privacy-Preserving Data Mining.