Sherri K. Weitl-Harms
Cited by
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Sequential association rule mining with time lags
SK Harms, JS Deogun
Journal of Intelligent Information Systems 22 (1), 7-22, 2004
Drought monitoring using data mining techniques: A case study for Nebraska, USA
T Tadesse, DA Wilhite, SK Harms, MJ Hayes, S Goddard
Natural Hazards 33, 137-159, 2004
Discovering sequential association rules with constraints and time lags in multiple sequences
SK Harms, J Deogun, T Tadesse
International symposium on methodologies for intelligent systems, 432-441, 2002
Geospatial decision support for drought risk management
S Goddard, SK Harms, SE Reichenbach, T Tadesse, WJ Waltman
Communications of the ACM 46 (1), 35-37, 2003
Discovering representative episodal association rules from event sequences using frequent closed episode sets and event constraints
SK Harms, J Deogun, J Saquer, T Tadesse
Proceedings 2001 IEEE International Conference on Data Mining, 603-606, 2001
Discovering associations between climatic and oceanic parameters to monitor drought in Nebraska using data-mining techniques
T Tadesse, DA Wilhite, MJ Hayes, SK Harms, S Goddard
Journal of Climate 18 (10), 1541-1550, 2005
Building knowledge discovery into a geo-spatial decision support system
SK Harms, J Deogun, S Goddard
Proceedings of the 2003 ACM symposium on Applied computing, 445-449, 2003
Data mining in a geospatial decision support system for drought risk management
SK Harms, S Goddard, SE Reichenbach, WJ Waltman, T Tadesse
Proceedings of the 1st national conference on digital government, 9-16, 2001
Efficient rule discovery in a geo-spatial decision support system
S Harms, D Li, J Deogun, T Tadesse
Proceedings of the 2002 annual national conference on Digital government …, 2002
A cross-curricular approach to fostering innovation such as virtual reality development through student-led projects
SK Harms, J Hastings
2016 IEEE Frontiers in Education Conference (FIE), 1-9, 2016
Interpolation techniques for geo-spatial association rule mining
D Li, J Deogun, S Harms
International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular …, 2003
Time-series data mining in a geospatial decision support system
D Li, S Harms, S Goddard, W Waltman, J Deogun
The 3rd National Conference on Digital Government, 2003
Digital government: reviving the newhall simulation model to understand the patterns and trends of soil climate regimes and drought events
WJ Waltman, S Goddard, SE Reichenbach, G Gu, IJ Cottingham, ...
Proceedings of the 2004 annual national conference on Digital government …, 2004
A knowledge-based geo-spatial decision support system for drought assessment
D Kozal, M Culver, SK Harms
Proceedings of the 2004 annual national conference on digital government …, 2004
A Classification Scheme for Gamification in Computer Science Education: Discovery of Foundational Gamification Genres in Data Structures Courses
A Spanier, S Weitl Harms, J Hastings
IEEE Frontiers in Education (FIE) 2021, 1-9, 2021
TweetDrought: A Deep-Learning Drought Impacts Recognizer based on Twitter Data
B Zhang, F Schilder, K Smith, M Hayes, S Harms, Tadesse, Tsegaye
Tackling Climate Change with Machine Learning workshop at ICML …, 2021
Algorithm and feature selection for VegOut: A vegetation condition prediction tool
S Harms, T Tadesse, B Wardlow
International Conference on Discovery Science; Lecture Notes in Artificial …, 2009
Temporal Association Rule Mining in Event Sequences
SK Harms
Encyclopedia of Data Warehousing and Mining, 1098-1102, 2005
A systematic mapping study on gamification applications for undergraduate cybersecurity education
S Weitl-Harms, A Spanier, J Hastings, M Rokusek
Journal of Cybersecurity Education, Research and Practice 2023 (1), 9, 2023
Contributing Factors and Trends in the Usage of IT Outsourcing in Manufacturing and Service Sectors
VK Agrawal, VK Agrawal, NN Chau, SK Harms
Information Technology and Management Science 23, 11, 2020
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