Lawrence B. Holder - Publications

Affiliations: 
University of Texas at Arlington, Arlington, TX, United States 
Area:
Computer Science

76 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Akter S, Holder L. Improving IoT Predictions through the Identification of Graphical Features. Sensors (Basel, Switzerland). 19. PMID 31344811 DOI: 10.3390/S19153250  0.402
2019 Ray A, Holder LB, Bifet A. Efficient frequent subgraph mining on large streaming graphs Intelligent Data Analysis. 23: 103-132. DOI: 10.3233/IDA-173705  0.491
2018 Wemlinger ZE, Holder LB. Cross-environment activity recognition using a shared semantic vocabulary Pervasive and Mobile Computing. 51: 150-159. DOI: 10.1016/J.Pmcj.2018.10.004  0.3
2017 Holder LB, Haque MM, Skinner MK. Machine learning for epigenetics and future medical applications. Epigenetics. 12: 505-514. PMID 28524769 DOI: 10.1080/15592294.2017.1329068  0.314
2016 Yao Y, Holder LB. Incremental SVM-based classification in dynamic streaming networks Intelligent Data Analysis. 20: 825-852. DOI: 10.3233/IDA-160834  0.513
2016 Holder LB, Caceres R, Gleich DF, Riedy J, Khan M, Chawla NV, Kumar R, Wu Y, Klymko C, Eliassi-Rad T, Prakash A. Current and Future Challenges in Mining Large Networks Acm Sigkdd Explorations Newsletter. 18: 39-45. DOI: 10.1145/2980765.2980770  0.342
2015 Choudhury S, Holder L, Chin G, Agarwal K, Feo J. A selectivity based approach to continuous pattern detection in streaming graphs Edbt 2015 - 18th International Conference On Extending Database Technology, Proceedings. 157-168. DOI: 10.5441/002/edbt.2015.15  0.422
2015 Eberle W, Holder L. Scalable anomaly detection in graphs Intelligent Data Analysis. 19: 57-74. DOI: 10.3233/IDA-140696  0.453
2015 Yao Y, Holder LB. Scalable classification for large dynamic networks Proceedings - 2015 Ieee International Conference On Big Data, Ieee Big Data 2015. 609-618. DOI: 10.1109/BigData.2015.7363805  0.433
2014 Haque MM, Skinner MK, Holder LB. Imbalanced class learning in epigenetics. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 21: 492-507. PMID 24798423 DOI: 10.1089/Cmb.2014.0008  0.367
2014 Chin G, Choudhury S, Feo J, Holder L. Predicting and detecting emerging cyberattack patterns using StreamWorks Acm International Conference Proceeding Series. 93-96. DOI: 10.1145/2602087.2602111  0.391
2014 Dong NT, Holder LB. Natural Language Generation from Graphs International Journal of Semantic Computing. 8: 335-384. DOI: 10.1142/S1793351X14500068  0.473
2014 Akter SS, Holder LB. Activity recognition using graphical features Proceedings - 2014 13th International Conference On Machine Learning and Applications, Icmla 2014. 165-170. DOI: 10.1109/ICMLA.2014.31  0.326
2013 Haque MM, Holder LB, Skinner MK, Cook DJ. Generalized query-based active learning to identify differentially methylated regions in DNA. Ieee/Acm Transactions On Computational Biology and Bioinformatics. 10: 632-44. PMID 24091397 DOI: 10.1109/Tcbb.2013.38  0.332
2013 Choudhury S, Holder L, Chin G, Feo J. Fast search for dynamic multi-relational graphs Proceedings of the Workshop On Dynamic Networks Management and Mining, Dynetmm 2013. 1-8. DOI: 10.1145/2489247.2489251  0.485
2013 Choudhury S, Holder L, Chin G, Ray A, Beus S, Feo J. Streamworks - A system for dynamic graph search Proceedings of the Acm Sigmod International Conference On Management of Data. 1101-1104. DOI: 10.1145/2463676.2463697  0.534
2013 Haglin DJ, Holder LB. Combining structure and property values is essential for graph-based learning Proceedings - Ieee 27th International Parallel and Distributed Processing Symposium Workshops and Phd Forum, Ipdpsw 2013. 1899-1904. DOI: 10.1109/IPDPSW.2013.44  0.543
2012 Ray A, Holder LB. Efficiency improvements for parallel subgraph miners Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, Flairs-25. 74-79.  0.442
2011 Rashidi P, Cook DJ, Holder LB, Schmitter-Edgecombe M. Discovering Activities to Recognize and Track in a Smart Environment. Ieee Transactions On Knowledge and Data Engineering. 23: 527-539. PMID 21617742 DOI: 10.1109/Tkde.2010.148  0.307
2011 Long S, Holder LB. Graph-Based Shape Analysis for MRI Classification International Journal of Knowledge Discovery in Bioinformatics. 2: 19-33. DOI: 10.4018/Jkdb.2011040102  0.356
2011 Choudhury S, Holder L, Chin G, Feo J. Large-scale continuous subgraph queries on streams Hpcdb'11 - Proceedings of the 2011 Workshop On High-Performance Computing Meets Databases, Co-Located With Sc'11. 29-32. DOI: 10.1145/2125636.2125647  0.496
2011 Long SS, Holder LB. Using graphs to improve activity prediction in smart environments based on motion sensor data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6719: 57-64. DOI: 10.1007/978-3-642-21535-3_8  0.492
2011 Romero A OE, Gonzalez B JA, Holder LB. Handling of numeric ranges with the subdue system Proceedings of the 24th International Florida Artificial Intelligence Research Society, Flairs - 24. 99-100.  0.366
2010 Zou R, Holder LB. Frequent subgraph mining on a single large graph using sampling techniques Proceedings of the 8th Workshop On Mining and Learning With Graphs, Mlg'10. 171-178. DOI: 10.1145/1830252.1830274  0.464
2010 Eberle W, Graves J, Holder L. Insider Threat Detection Using a Graph-Based Approach Journal of Applied Security Research. 6: 32-81. DOI: 10.1080/19361610.2011.529413  0.794
2010 Romero OE, Gonzalez JA, Holder LB. Handling of numeric ranges for graph-based knowledge discovery Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, Flairs-23. 156-157.  0.447
2009 You CH, Holder LB, Cook DJ. Learning patterns in the dynamics of biological networks Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 977-985. DOI: 10.1145/1557019.1557125  0.475
2009 Ketkar NS, Holder LB, Cook DJ. Faster computation of the direct product kernel for graph classification 2009 Ieee Symposium On Computational Intelligence and Data Mining, Cidm 2009 - Proceedings. 267-274. DOI: 10.1109/CIDM.2009.4938659  0.475
2009 Ketkar NS, Holder LB, Cook DJ. Empirical comparison of graph classification algorithms 2009 Ieee Symposium On Computational Intelligence and Data Mining, Cidm 2009 - Proceedings. 259-266. DOI: 10.1109/CIDM.2009.4938658  0.568
2009 Cook D, Holder L, Thompson S, Whitney P, Chilton L. Graph-based analysis of nuclear smuggling data Journal of Applied Security Research. 4: 501-517. DOI: 10.1080/19361610903176310  0.506
2009 You CH, Holder LB, Cook DJ. Substructure analysis of metabolic pathways by graph-based relational learning Studies in Computational Intelligence. 224: 237-261. DOI: 10.1007/978-3-642-02193-0_10  0.405
2009 Ketkar NS, Holder LB, Cook DJ. gRegress: Extracting features from graph transactions for regression Ijcai International Joint Conference On Artificial Intelligence. 1089-1094.  0.408
2008 Hudelson MG, Ketkar NS, Holder LB, Carlson TJ, Peng CC, Waldher BJ, Jones JP. High confidence predictions of drug-drug interactions: predicting affinities for cytochrome P450 2C9 with multiple computational methods. Journal of Medicinal Chemistry. 51: 648-54. PMID 18211009 DOI: 10.1021/Jm701130Z  0.315
2008 Kukluk JP, Holder LB, Cook DJ. Inferring graph grammars by detecting overlap in frequent subgraphs International Journal of Applied Mathematics and Computer Science. 18: 241-250. DOI: 10.2478/V10006-008-0022-Y  0.816
2008 Holder LB, Yan X. Report on the First International Workshop on Mining Graphs and Complex Structures (MGCS'07) Sigmod Record. 37: 53-55. DOI: 10.1145/1374780.1374795  0.386
2008 You CH, Holder LB, Cook DJ. Graph-based data mining in dynamic networks: Empirical comparison of compression-based and frequency-based subgraph mining Proceedings - Ieee International Conference On Data Mining Workshops, Icdm Workshops 2008. 929-938. DOI: 10.1109/ICDMW.2008.68  0.515
2008 You CH, Holder LB, Cook DJ. Temporal and structural analysis of biological networks in combination with microarray data 2008 Ieee Symposium On Computational Intelligence in Bioinformatics and Computational Biology, Cibcb '08. 62-69. DOI: 10.1109/CIBCB.2008.4675760  0.417
2008 You CH, Holder LB, Cook DJ. Dynamic graph-based relational learning of temporal patterns in biological networks changing over time Proceedings of the 2008 International Conference On Bioinformatics and Computational Biology, Biocomp 2008. 984-990.  0.482
2007 Eberle W, Holder L. Anomaly detection in data represented as graphs Intelligent Data Analysis. 11: 663-689. DOI: 10.3233/IDA-2007-11606  0.472
2007 Kukluk JP, Holder LB, Cook DJ. Inference of node replacement graph grammars Intelligent Data Analysis. 11: 377-400. DOI: 10.3233/ida-2007-11405  0.454
2007 Kukluk JP, Holder LB, Cook DJ. Inference of edge replacement graph grammars Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, Flairs 2007. 496-501. DOI: 10.1142/S0218213008004047  0.814
2007 Cook DJ, Holder LB, Youngblood GM. Graph-based analysis of human transfer learning using a game testbed Ieee Transactions On Knowledge and Data Engineering. 19: 1465-1478. DOI: 10.1109/Tkde.2007.190634  0.384
2007 Potts J, Cook DJ, Holder LB. Learning from supervised graphs Studies in Computational Intelligence. 52: 183-201. DOI: 10.1007/978-3-540-68020-8_7  0.514
2007 Kukluk JP, Holder LB, Cook DJ. Inference of node replacement graph grammars Intelligent Data Analysis. 11: 377-400.  0.825
2006 Coble J, Cook DJ, Holder LB. Structure discovery in sequentially-connected data streams International Journal On Artificial Intelligence Tools. 15: 917-944. DOI: 10.1142/S0218213006003041  0.428
2006 Holder LB, Markov Z, Russell I. Advances in knowledge acquisition and representation International Journal On Artificial Intelligence Tools. 15: 867-874. DOI: 10.1142/S0218213006003016  0.332
2006 Kukluk JP, Holder LB, Cook DJ. Algorithm and experiments in testing planar graphs for isomorphism Graph Algorithms and Applications 5. 313-356. DOI: 10.1142/9789812773289_0017  0.813
2006 Ates K, Kukluk J, Holder L, Cook D, Zhang K. Graph grammar induction on structural data for visual programming Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 232-239. DOI: 10.1109/ICTAI.2006.61  0.809
2006 Cook DJ, Holder LB, Ketkar N. Unsupervised and Supervised Pattern Learning in Graph Data Mining Graph Data. 159-181. DOI: 10.1002/9780470073049.ch7  0.419
2006 Cook DJ, Holder LB. Mining Graph Data Mining Graph Data. 1-479. DOI: 10.1002/9780470073049  0.514
2006 Kukluk JP, Holder LB, Cook DJ. Inference of node replacement recursive graph grammars Proceedings of the Sixth Siam International Conference On Data Mining. 2006: 544-548.  0.818
2006 You CH, Holder LB, Cook DJ. Application of graph-based data mining to metabolic pathways Proceedings - Ieee International Conference On Data Mining, Icdm. 169-173.  0.44
2005 Ketkar NS, Holder LB, Cook DJ. Subdue: Compression-based frequent pattern discovery in graph data Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 71-76. DOI: 10.1145/1133905.1133915  0.53
2005 Ketkar NS, Holder LB, Cook DJ. Comparison of graph-based and logic-based multi-relational data mining Acm Sigkdd Explorations Newsletter. 7: 64-71. DOI: 10.1145/1117454.1117463  0.539
2005 Ketkar NS, Holder LB, Cook DJ. Qualitative comparison of graphbased and logicbased multi-relational data mining: A case study Proceedings of the 4th International Workshop On Multi-Relational Data Mining, Mrdm 2005 - 11th Acm Sigkdd International Conference On Knowledge Discovery and Data Mining, Kdd 2005. 25-32. DOI: 10.1145/1090193.1090198  0.463
2005 Coble JA, Rathi R, Cook DJ, Holder LB. Iterative structure discovery in graph-based data International Journal On Artificial Intelligence Tools. 14: 101-124. DOI: 10.1142/S0218213005002016  0.42
2005 Rathi R, Cook DJ, Holder LB. A serial partitioning approach to scaling graph-based knowledge discovery Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, Flairs 2005 - Recent Advances in Artifical Intelligence. 188-193.  0.435
2005 Potts JT, Cook DJ, Holder LB. Learning from examples in a single graph Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, Flairs 2005 - Recent Advances in Artifical Intelligence. 480-485.  0.507
2004 Kukluk JP, Holder LB, Cook DJ. Algorithm and Experiments in Testing Planar Graphs for Isomorphism Journal of Graph Algorithms and Applications. 8: 313-356. DOI: 10.7155/Jgaa.00094  0.602
2004 JONYER I, HOLDER LB, COOK DJ. MDL-BASED CONTEXT-FREE GRAPH GRAMMAR INDUCTION AND APPLICATIONS International Journal On Artificial Intelligence Tools. 13: 65-79. DOI: 10.1142/S0218213004001429  0.792
2004 Jonyer I, Holder LB, Cook DJ. Attribute-value selection based on minimum description length Proceedings of the International Conference On Artificial Intelligence, Ic-Ai'04. 2: 1154-1159.  0.736
2003 Holder LB, Cook DJ. Graph-based relational learning Acm Sigkdd Explorations Newsletter. 5: 90. DOI: 10.1145/959242.959254  0.597
2003 Cook DJ, Manocha N, Holder LB. Using a graph-based data mining system to perform Web search International Journal of Pattern Recognition and Artificial Intelligence. 17: 705-720. DOI: 10.1142/S0218001403002617  0.364
2003 Gonzalez JA, Holder LB, Cook DJ. Experimental comparison of graph-based relational concept learning with inductive logic programming systems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2583: 84-100.  0.355
2002 Jonyer I, Cook DJ, Holder LB. Graph-based hierarchical conceptual clustering Journal of Machine Learning Research. 2: 19-43. DOI: 10.1162/153244302760185234  0.775
2001 Cook DJ, Holder LB, Su S, Maglothin R, Jonyer I. Structural mining of molecular biology data. Ieee Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society. 20: 67-74. PMID 11494772 DOI: 10.1109/51.940050  0.745
2001 Manocha N, Cook DJ, Holder LB. Cover story: structural Web search using a graph-based discovery system Intelligence. 12: 20-29. DOI: 10.1145/376451.376466  0.544
2001 JONYER I, HOLDER LB, COOK DJ. GRAPH-BASED HIERARCHICAL CONCEPTUAL CLUSTERING International Journal On Artificial Intelligence Tools. 10: 107-135. DOI: 10.1142/S0218213001000441  0.781
2001 Cook DJ, Holder LB, Galal G, Maglothin R. Approaches to Parallel Graph-Based Knowledge Discovery Journal of Parallel and Distributed Computing. 61: 427-446. DOI: 10.1006/Jpdc.2000.1696  0.516
2000 Cook DJ, Holder LB. Graph-based data mining Ieee Intelligent Systems and Their Applications. 15: 32-41. DOI: 10.1109/5254.850825  0.584
1999 Galal GM, Cook DJ, Holder LB. Exploiting parallelism in a structural scientific discovery system to improve scalability Journal of the American Society For Information Science. 50: 65-73. DOI: 10.1002/(Sici)1097-4571(1999)50:1<65::Aid-Asi8>3.0.Co;2-G  0.488
1998 Holder L. Discovering knowledge in DNA and protein data Acm Sigbio Newsletter. 18: 4-4. DOI: 10.1145/956034.956038  0.403
1997 Djoko S, Cook DJ, Holder LB. An empirical study of domain knowledge and its benefits to substructure discovery Ieee Transactions On Knowledge and Data Engineering. 9: 575-586. DOI: 10.1109/69.617051  0.32
1996 Cook DJ, Holder LB, Djoko S. Scalable discovery of informative structural concepts using domain knowledge Ieee Expert-Intelligent Systems and Their Applications. 11: 59-68. DOI: 10.1109/64.539018  0.327
1994 Cook DJ, Holder LB. Substructure Discovery Using Minimum Description Length and Background Knowledge Journal of Artificial Intelligence Research. 1: 231-255. DOI: 10.1613/Jair.43  0.515
1993 Holder LB, Cook DJ. Discovery of Inexact Concepts from Structural Data Ieee Transactions On Knowledge and Data Engineering. 5: 992-994. DOI: 10.1109/69.250085  0.499
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