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Sherri K. Weitl-Harms
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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
1602004
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
1182004
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
1182002
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
902003
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
832001
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
402005
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
272003
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
262001
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
162002
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
142016
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
122003
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
112003
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
62004
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
62004
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
42021
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
32021
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
32009
Temporal Association Rule Mining in Event Sequences
SK Harms
Encyclopedia of Data Warehousing and Mining, 1098-1102, 2005
32005
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
22023
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
22020
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