| Mining graph data DJ Cook, LB Holder John Wiley & Sons, 2006 | 682 | 2006 |
| Substructure discovery using minimum description length and background knowledge DJ Cook, LB Holder Journal of Artificial Intelligence Research 1, 231-255, 1993 | 677 | 1993 |
| Discovering activities to recognize and track in a smart environment P Rashidi, DJ Cook, LB Holder, M Schmitter-Edgecombe IEEE transactions on knowledge and data engineering 23 (4), 527-539, 2010 | 560 | 2010 |
| Graph-based data mining DJ Cook, LB Holder IEEE Intelligent Systems and Their Applications 15 (2), 32-41, 2000 | 558 | 2000 |
| Substucture Discovery in the SUBDUE System. LB Holder, DJ Cook, S Djoko KDD workshop, 169-180, 1994 | 388 | 1994 |
| Graph-based hierarchical conceptual clustering I Jonyer, DJ Cook, LB Holder Journal of Machine Learning Research 2 (Oct), 19-43, 2001 | 200 | 2001 |
| Managing adaptive versatile environments GM Youngblood, DJ Cook, LB Holder Pervasive and Mobile Computing 1 (4), 373-403, 2005 | 185 | 2005 |
| Insider threat detection using a graph-based approach W Eberle, J Graves, L Holder Journal of Applied Security Research 6 (1), 32-81, 2010 | 165 | 2010 |
| Subdue: Compression-based frequent pattern discovery in graph data NS Ketkar, LB Holder, DJ Cook Proceedings of the 1st international workshop on open source data mining …, 2005 | 162 | 2005 |
| Discovering structural anomalies in graph-based data W Eberle, L Holder Seventh IEEE international conference on data mining workshops (ICDMW 2007 …, 2007 | 158 | 2007 |
| Anomaly detection in data represented as graphs W Eberle, L Holder Intelligent Data Analysis 11 (6), 663-689, 2007 | 147 | 2007 |
| Decision-theoretic cooperative sensor planning DJ Cook, P Gmytrasiewicz, LB Holder IEEE Transactions on Pattern Analysis and Machine Intelligence 18 (10), 1013 …, 1996 | 109 | 1996 |
| MDL-based context-free graph grammar induction and applications I Jonyer, LB Holder, DJ Cook International Journal on Artificial Intelligence Tools 13 (01), 65-79, 2004 | 90 | 2004 |
| Conditional random fields for activity recognition in smart environments E Nazerfard, B Das, LB Holder, DJ Cook Proceedings of the 1st ACM International Health Informatics Symposium, 282-286, 2010 | 78 | 2010 |
| Automation intelligence for the smart environment GM Youngblood, EO Heierman, LB Holder, DJ Cook International Joint Conference On Artificial Intelligence 19, 1513, 2005 | 74 | 2005 |
| Approaches to parallel graph-based knowledge discovery DJ Cook, LB Holder, G Galal, R Maglothin Journal of Parallel and Distributed Computing 61 (3), 427-446, 2001 | 71 | 2001 |
| Machine learning for epigenetics and future medical applications LB Holder, MM Haque, MK Skinner Epigenetics 12 (7), 505-514, 2017 | 68 | 2017 |
| Sensor selection to support practical use of health‐monitoring smart environments DJ Cook, LB Holder Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 1 (4 …, 2011 | 67 | 2011 |
| Application of graph-based concept learning to the predictive toxicology domain J Gonzalez, LB Holder, DJ Cook Proceedings of the Predictive Toxicology Challenge Workshop, 2001 | 63 | 2001 |
| Applying the Subdue Substructure Discovery System to the Chemical Toxicity Domain. RN Chittimoori, LB Holder, DJ Cook FLAIRS Conference, 90-94, 1999 | 61 | 1999 |
Diane J CookWashington State UniversityEmail verificata su eecs.wsu.edu
