T08: Survey of Practical Data Mining and Machine Learning for HCI

Sunday, 19 July 2020, 13:30 – 17:30
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Monte F. Hancock (short bio)

4Digital, Inc., USA



Rapidly equip participants with a working foundation in data science and machine learning vocabulary and methods that will enable them to obtain maximum benefit from their conference participation.



  • Data and Information: Theory and Practice (focus on machine learning methods)
  • Data Conditioning: numeric, categorical, and textual
  • Feature Extraction and Enhancement
  • Data Visualization in dimensions high and low
  • Data science methods for detection, characterization, and exploitation of actionable patterns in data
  • Selection & construction of predictive models (focus  on neural networks & heuristic systems)
  • The Seven Deadly Sins of Data Mining… mistakes that lead to DM project FAILURE

All participants receive free software tools and data sets used in the tutorial.

Bio Sketch of Presenter:

Monte F. Hancock

  • Conducted pre-conference tutorials for SDM (SIAM), KDD (ACM), ICDM (IEEE)
  • Formerly Northrop-Grumman Technical Fellow, Chief Cognitive Research Scientist; Chief Scientist for Northrop’s Advanced Analytics Group
  • Served multiple times as Session Chair (AugCog/HCII, AHFE)
  • Served as Program Committee member for DMIN, KDD, AugCog, AHFE
  • Invited platform speaker at the NSA Data Fusion Symposium; NASA Technology Day; Gilder/Forbes TELECOSM
  • Formerly adjunct in Math/Computer Science at Penn State, Rollins College, Webster University (Mentor of MS CS, and Mentor of Cybersecurity MS for Space Coast Region); curriculum developer (Mathematics) for the Department of Continuing Education, University of Florida
  • Founding Member of the Computer Science Advisory Board, Florida Institute of Technology
  • Grant Reviewer (Data Mining) for the National Science Foundation
  • Technical Lead for the development of the Data Mining Comprehensive Capability List for the U.S. Department of Defense
  • Grand Awards Judge for the 2019 Intel International Science and Engineering Fair
  • Author of over 25 Conference papers and two books:
  • Data Mining Explained, Digital Press, 2001, ISBN 1-55558-231-1
  • Practical Data Mining, CRC Press, 2011, 2013, ISBN 978-1-4398-6836-2