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Semantic ScholarWilliam Eberle
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2010 – today
- 2018
[j9]Lenin Mookiah, William Eberle, Maitrayi Mondal:
Personalized news recommendation using graph-based approach. Intell. Data Anal. 22(4): 881-909 (2018)- [j8]Deron Liang, Chih-Fong Tsai, An-Jie Dai, William Eberle:
A novel classifier ensemble approach for financial distress prediction. Knowl. Inf. Syst. 54(2): 437-462 (2018) - [c36]Sheikh Rabiul Islam, Sheikh Khaled Ghafoor, William Eberle:
Mining Illegal Insider Trading of Stocks: A Proactive Approach. BigData 2018: 1397-1406 - [c35]Ramesh Paudel, Kimberlyn Dunn, William Eberle, Danielle Chaung:
Cognitive Health Prediction on the Elderly Using Sensor Data in Smart Homes. FLAIRS Conference 2018: 317-322 - [c34]
- [c33]Rina Singh, Jeffrey A. Graves, Douglas A. Talbert, William Eberle:
Prefix and Suffix Sequential Pattern Mining. ICDM 2018: 309-324 - [c32]Rina Singh, Jeffrey A. Graves, Douglas A. Talbert, William Eberle:
Prefix and Suffix Sequential Pattern Mining. MLDM (1) 2018: 296-311 - [i2]Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor:
Mining Bad Credit Card Accounts from OLAP and OLTP. CoRR abs/1807.00819 (2018) - [i1]Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor:
Credit Default Mining Using Combined Machine Learning and Heuristic Approach. CoRR abs/1807.01176 (2018) - 2017
- [c31]Lenin Mookiah, Chris Dean, William Eberle:
Graph-Based Anomaly Detection on Smart Grid Data. FLAIRS Conference 2017: 306-311 - [c30]Ramesh Paudel, William Eberle, Douglas A. Talbert:
Detection of Anomalous Activity in Diabetic Patients Using Graph-Based Approach. FLAIRS Conference 2017: 423-429 - [c29]Sirisha Velampalli, William Eberle:
Novel Graph Based Anomaly Detection Using Background Knowledge. FLAIRS Conference 2017: 538-543 - [c28]Nishith Mukeshkumar Thakkar, Lenin Mookiah, Douglas A. Talbert, William Eberle:
Anomalies in Students Enrollment Using Visualization. FLAIRS Conference 2017: 544-548 - [c27]Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor:
Mining Bad Credit Card Accounts from OLAP and OLTP. ICCDA 2017: 129-137 - [c26]Sirisha Velampalli, Lenin Mookiah, William Eberle:
Detecting Vehicular Patterns Using a Graph-Based Approach. VAST 2017: 209-210 - 2016
- [j7]Zdravko Markov, Ingrid Russell, William Eberle:
Report on the 29th International Florida Artificial Intelligence Research Society Conference (FLAIRS-29). AI Magazine 37(4): 81-82 (2016) - [j6]Min-Wei Huang, Wei-Chao Lin, Chih-Wen Chen, Shih-Wen Ke, Chih-Fong Tsai, William Eberle:
Data preprocessing issues for incomplete medical datasets. Expert Systems 33(5): 432-438 (2016) - [c25]
- 2015
- [j5]William Eberle, Lawrence B. Holder:
Scalable anomaly detection in graphs. Intell. Data Anal. 19(1): 57-74 (2015) - [j4]Wei-Chao Lin, Chih-Fong Tsai, Shih-Wen Ke, Chia-Wen Hung, William Eberle:
Learning to detect representative data for large scale instance selection. Journal of Systems and Software 106: 1-8 (2015) - [j3]Zong-Yao Chen, Chih-Fong Tsai, William Eberle, Wei-Chao Lin, Shih-Wen Ke:
Instance selection by genetic-based biological algorithm. Soft Comput. 19(5): 1269-1282 (2015) - [c24]Cameron Chaparro, William Eberle:
Detecting Anomalies in Mobile Telecommunication Networks Using a Graph Based Approach. FLAIRS Conference 2015: 410-415 - [c23]Lenin Mookiah, William Eberle, Larry Holder:
Discovering Suspicious Behavior Using Graph-Based Approach. FLAIRS Conference 2015: 428-433 - [c22]Lenin Mookiah, William Eberle, Ambareen Siraj:
Survey of Crime Analysis and Prediction. FLAIRS Conference 2015: 440-443 - [e2]Ingrid Russell, William Eberle:
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2015, Hollywood, Florida, USA, May 18-20, 2015. AAAI Press 2015 [contents] - 2014
- [c21]William Eberle, Lawrence B. Holder:
A partitioning approach to scaling anomaly detection in graph streams. BigData 2014: 17-24 - [c20]Vitaly Ford, Ambareen Siraj, William Eberle:
Smart grid energy fraud detection using artificial neural networks. CIASG 2014: 91-96 - [c19]
- [c18]Lenin Mookiah, William Eberle, Lawrence B. Holder:
Detecting suspicious behavior using a graph-based approach. IEEE VAST 2014: 357-358 - [e1]William Eberle, Chutima Boonthum-Denecke:
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, FLAIRS 2014, Pensacola Beach, Florida, USA, May 21-23, 2014. AAAI Press 2014, ISBN 978-1-57735-658-5 [contents] - 2013
- [j2]Chih-Fong Tsai, William Eberle, Chi-Yuan Chu:
Genetic algorithms in feature and instance selection. Knowl.-Based Syst. 39: 240-247 (2013) - [c17]Christopher J. Morack, William Eberle:
Computer science widening the STEM education spectrum. FIE 2013: 1329-1335 - [c16]William Eberle, John Karro, Neal Lerner, Matthias F. Stallmann:
Integrating communication skills in data structures and algorithms courses. FIE 2013: 1503-1509 - [c15]
- [c14]Alan Matthew McCormick, William Eberle:
Discovering Fraud in Online Classified Ads. FLAIRS Conference 2013 - [c13]William Eberle, Lawrence B. Holder:
Incremental Anomaly Detection in Graphs. ICDM Workshops 2013: 521-528 - 2012
- [c12]William Eberle, Lawrence B. Holder, Beverly Massengill:
Graph-Based Anomaly Detection Applied to Homeland Security Cargo Screening. FLAIRS Conference 2012 - 2011
- [c11]
- [c10]William Eberle, Lawrence B. Holder:
Graph-Based Knowledge Discovery: Compression versus Frequency. FLAIRS Conference 2011 - 2010
- [c9]William Eberle, Lawrence B. Holder, Jeffrey Graves:
Using a Graph-Based Approach for Discovering Cybercrime. FLAIRS Conference 2010
2000 – 2009
- 2009
- [c8]William Eberle, Lawrence B. Holder:
Mining for insider threats in business transactions and processes. CIDM 2009: 163-170 - [c7]William Eberle, Lawrence B. Holder:
Graph-based approaches to insider threat detection. CSIIRW 2009: 44 - [c6]
- [c5]William Eberle, Lawrence B. Holder:
Discovering Anomalies to Multiple Normative Patterns in Structural and Numeric Data. FLAIRS Conference 2009 - [c4]William Eberle, Lawrence B. Holder:
Applying graph-based anomaly detection approaches to the discovery of insider threats. ISI 2009: 206-208 - 2007
- [j1]William Eberle, Lawrence B. Holder:
Anomaly detection in data represented as graphs. Intell. Data Anal. 11(6): 663-689 (2007) - [c3]William Eberle, Lawrence B. Holder:
Mining for Structural Anomalies in Graph-based Data. DMIN 2007: 376-389 - [c2]William Eberle, Lawrence B. Holder:
Discovering Structural Anomalies in Graph-Based Data. ICDM Workshops 2007: 393-398 - 2006
- [c1]William Eberle, Lawrence B. Holder:
Detecting Anomalies in Cargo Using Graph Properties. ISI 2006: 728-730
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