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
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
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
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
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 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), 2023
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
Database Service-Learning Projects: Addressing Community Needs While Measuring and Meeting Computer Science Learning Outcomes
S Weitl-Harms
2022 10th IEEE International Conference on Information and Education …, 2022
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
ZORQ: A Gamification Framework for Computer Science Education
JD Hastings, SK Weitl-Harms, A Spanier, M Rokusek, R Hensey
IEEE Frontiers in Education (FIE), 2022
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