William Eberle

According to our database1, William Eberle authored at least 45 papers between 2006 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
A novel classifier ensemble approach for financial distress prediction.
Knowl. Inf. Syst., 2018

Personalized news recommendation using graph-based approach.
Intell. Data Anal., 2018

Credit Default Mining Using Combined Machine Learning and Heuristic Approach.
CoRR, 2018

Mining Bad Credit Card Accounts from OLAP and OLTP.
CoRR, 2018

Prefix and Suffix Sequential Pattern Mining.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Prefix and Suffix Sequential Pattern Mining.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2018

Cognitive Health Prediction on the Elderly Using Sensor Data in Smart Homes.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Special Track on Data Mining.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

2017
Mining Bad Credit Card Accounts from OLAP and OLTP.
Proceedings of the International Conference on Compute and Data Analysis, 2017

Novel Graph Based Anomaly Detection Using Background Knowledge.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Anomalies in Students Enrollment Using Visualization.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Detection of Anomalous Activity in Diabetic Patients Using Graph-Based Approach.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Graph-Based Anomaly Detection on Smart Grid Data.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016
Data preprocessing issues for incomplete medical datasets.
Expert Systems, 2016

Report on the 29th International Florida Artificial Intelligence Research Society Conference (FLAIRS-29).
AI Magazine, 2016

Never-Ending Medical Learning.
Proceedings of the AMIA 2016, 2016

2015
Instance selection by genetic-based biological algorithm.
Soft Comput., 2015

Learning to detect representative data for large scale instance selection.
Journal of Systems and Software, 2015

Scalable anomaly detection in graphs.
Intell. Data Anal., 2015

Survey of Crime Analysis and Prediction.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Discovering Suspicious Behavior Using Graph-Based Approach.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Detecting Anomalies in Mobile Telecommunication Networks Using a Graph Based Approach.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2014
Detecting suspicious behavior using a graph-based approach.
Proceedings of the 2014 IEEE Conference on Visual Analytics Science and Technology, 2014

Special Track on Data Mining.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

Smart grid energy fraud detection using artificial neural networks.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014

A partitioning approach to scaling anomaly detection in graph streams.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

2013
Genetic algorithms in feature and instance selection.
Knowl.-Based Syst., 2013

Incremental Anomaly Detection in Graphs.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Discovering Fraud in Online Classified Ads.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

Special Track on Data Mining.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

Computer science widening the STEM education spectrum.
Proceedings of the IEEE Frontiers in Education Conference, 2013

Integrating communication skills in data structures and algorithms courses.
Proceedings of the IEEE Frontiers in Education Conference, 2013

2012
Graph-Based Anomaly Detection Applied to Homeland Security Cargo Screening.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

2011
Graph-Based Knowledge Discovery: Compression versus Frequency.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

Special Track on Data Mining.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

2010
Using a Graph-Based Approach for Discovering Cybercrime.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

2009
Applying graph-based anomaly detection approaches to the discovery of insider threats.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2009

Discovering Anomalies to Multiple Normative Patterns in Structural and Numeric Data.
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Special Track on Data Mining.
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Graph-based approaches to insider threat detection.
Proceedings of the Fifth Cyber Security and Information Intelligence Research Workshop, 2009

Mining for insider threats in business transactions and processes.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

2007
Anomaly detection in data represented as graphs.
Intell. Data Anal., 2007

Discovering Structural Anomalies in Graph-Based Data.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Mining for Structural Anomalies in Graph-based Data.
Proceedings of the 2007 International Conference on Data Mining, 2007

2006
Detecting Anomalies in Cargo Using Graph Properties.
Proceedings of the Intelligence and Security Informatics, 2006


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