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ORCIDLawrence B. Holder
Lawrence Holder – Larry B. Holder – Larry Holder
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- affiliation: Washington State University, School of Electrical Engineering and Computer Science, Pullman, WA, USA
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2020 – today
- 2023
[i13]Katarina Doctor, Christine Task, Eric J. Kildebeck, Mayank Kejriwal, Lawrence Holder, Russell Leong:
Toward Defining a Domain Complexity Measure Across Domains. CoRR abs/2303.04141 (2023)- 2022
- [j58]Terrance E. Boult, Nicolas M. Windesheim
, Steven Zhou, Christopher Pereyda, Lawrence B. Holder:
Weibull-Open-World (WOW) Multi-Type Novelty Detection in CartPole3D. Algorithms 15(10): 381 (2022) - [j57]Gina Sprint, Diane J. Cook, Maureen Schmitter-Edgecombe, Lawrence B. Holder:
Multimodal Fusion of Smart Home and Text-based Behavior Markers for Clinical Assessment Prediction. ACM Trans. Comput. Heal. 3(4): 41:1-41:25 (2022) - [j56]Sumit Purohit, George Chin, Lawrence B. Holder:
ITeM: Independent temporal motifs to summarize and compare temporal networks. Intell. Data Anal. 26(4): 1071-1096 (2022) - 2021
- [j55]Pegah Mavaie, Lawrence Holder, Daniel Beck, Michael K. Skinner:
Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach. BMC Bioinform. 22(1): 575 (2021) - [c109]Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Lawrence Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer:
Towards a Unifying Framework for Formal Theories of Novelty. AAAI 2021: 15047-15052 - 2020
- [c108]William Eberle, Lawrence Holder:
Graph Filtering to Remove the "Middle Ground" for Anomaly Detection. IEEE BigData 2020: 2947-2956 - [i12]Sumit Purohit, Lawrence B. Holder, George Chin Jr.:
ITeM: Independent Temporal Motifs to Summarize and Compare Temporal Networks. CoRR abs/2002.08312 (2020) - [i11]Christopher Pereyda, Lawrence Holder:
Measuring the Complexity of Domains Used to Evaluate AI Systems. CoRR abs/2010.01985 (2020) - [i10]Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Larry B. Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer:
A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion. CoRR abs/2012.04226 (2020)
2010 – 2019
- 2019
- [j54]Abhik Ray, Lawrence B. Holder, Albert Bifet:
Efficient frequent subgraph mining on large streaming graphs. Intell. Data Anal. 23(1): 103-132 (2019) - [j53]Yuchen Hou, Lawrence B. Holder:
On Graph Mining With Deep Learning: Introducing Model R for Link Weight Prediction. J. Artif. Intell. Soft Comput. Res. 9(1): 21-40 (2019) - [j52]Syeda Selina Akter, Lawrence Holder:
Improving IoT Predictions through the Identification of Graphical Features. Sensors 19(15): 3250 (2019) - 2018
- [j51]Zachary Wemlinger, Lawrence B. Holder:
Cross-environment activity recognition using a shared semantic vocabulary. Pervasive Mob. Comput. 51: 150-159 (2018) - [j50]Joel Helkey, Lawrence B. Holder:
Sensor Network Configuration Learning for Maximizing Application Performance. Sensors 18(6): 1771 (2018) - [c107]Syeda Selina Akter, Lawrence B. Holder, Diane J. Cook:
Activity Recognition Using Graphical Features from Smart Phone Sensor. ICIOT 2018: 45-55 - [c106]Sutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence B. Holder, Khushbu Agarwal:
Percolator: Scalable Pattern Discovery in Dynamic Graphs. WSDM 2018: 759-762 - 2017
- [c105]Sumit Purohit, Sutanay Choudhury, Lawrence B. Holder:
Application-specific graph sampling for frequent subgraph mining and community detection. IEEE BigData 2017: 1000-1005 - [c104]Samaneh Aminikhanghahi, Ramin Fallahzadeh, Matthew Sawyer, Diane J. Cook, Lawrence B. Holder:
Thyme: Improving Smartphone Prompt Timing Through Activity Awareness. ICMLA 2017: 315-322 - [c103]Yuchen Hou, Lawrence B. Holder:
Deep learning approach to link weight prediction. IJCNN 2017: 1855-1862 - [c102]Syeda Selina Akter, Lawrence B. Holder:
Using Graphical Features To Improve Demographic Prediction From Smart Phone Data. NDA@SIGMOD 2017: 5:1-5:8 - [r3]Lawrence Holder:
Greedy Search Approach of Graph Mining. Encyclopedia of Machine Learning and Data Mining 2017: 597-603 - [i9]Charles A. Packer, Lawrence B. Holder:
GraphZip: Dictionary-based Compression for Mining Graph Streams. CoRR abs/1703.08614 (2017) - 2016
- [j49]Yibo Yao, Lawrence B. Holder:
Incremental SVM-based classification in dynamic streaming networks. Intell. Data Anal. 20(4): 825-852 (2016) - [j48]Lawrence B. Holder, Rajmonda Sulo Caceres, David F. Gleich, E. Jason Riedy, Maleq Khan, Nitesh V. Chawla, Ravi Kumar, Yinghui Wu, Christine Klymko, Tina Eliassi-Rad, B. Aditya Prakash:
Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs. SIGKDD Explor. 18(1): 39-45 (2016) - [j47]Joel Helkey, Lawrence Holder, Behrooz A. Shirazi:
Comparison of simulators for assessing the ability to sustain wireless sensor networks using dynamic network reconfiguration. Sustain. Comput. Informatics Syst. 9: 1-7 (2016) - [c101]Kevin Bouchard, Lawrence B. Holder, Diane J. Cook:
Extracting Generalizable Spatial Features from Smart Phones Datasets. AAAI Workshop: Artificial Intelligence Applied to Assistive Technologies and Smart Environments 2016 - [c100]Yibo Yao, Lawrence B. Holder:
Classification in dynamic streaming networks. ASONAM 2016: 138-145 - [c99]Jason Fairey, Lawrence Holder:
StarIso: Graph Isomorphism Through Lossy Compression. DCC 2016: 589 - [c98]Alexander Gain, Lawrence Holder:
Network of Spiking Neurons Driven by Compression. DCC 2016: 593 - 2015
- [j46]William Eberle, Lawrence B. Holder:
Scalable anomaly detection in graphs. Intell. Data Anal. 19(1): 57-74 (2015) - [c97]Yibo Yao, Lawrence B. Holder:
Scalable classification for large dynamic networks. IEEE BigData 2015: 609-618 - [c96]Abhinav Vishnu, Jeyanthi Narasimhan, Lawrence Holder, Darren J. Kerbyson, Adolfy Hoisie:
Fast and Accurate Support Vector Machines on Large Scale Systems. CLUSTER 2015: 110-119 - [c95]Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Khushbu Agarwal, John Feo:
A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs. EDBT 2015: 157-168 - [c94]Lenin Mookiah, William Eberle, Larry Holder:
Discovering Suspicious Behavior Using Graph-Based Approach. FLAIRS 2015: 428-433 - [i8]Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Khushbu Agarwal, John Feo:
A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs. CoRR abs/1503.00849 (2015) - 2014
- [j45]Ngan T. Dong, Lawrence B. Holder:
Natural Language Generation from Graphs. Int. J. Semantic Comput. 8(3): 335- (2014) - [j44]Md. Muksitul Haque, Michael K. Skinner, Lawrence B. Holder:
Imbalanced Class Learning in Epigenetics. J. Comput. Biol. 21(7): 492-507 (2014) - [j43]Nirmalya Roy, Parisa Rashidi, Larry Holder, Liming Chen:
Special issue on data mining in pervasive environments. Pervasive Mob. Comput. 15: 151-152 (2014) - [c93]William Eberle, Lawrence B. Holder:
A partitioning approach to scaling anomaly detection in graph streams. IEEE BigData 2014: 17-24 - [c92]George Chin Jr., Sutanay Choudhury, John Feo, Lawrence B. Holder:
Predicting and detecting emerging cyberattack patterns using StreamWorks. CISR 2014: 93-96 - [c91]Yibo Yao, Lawrence B. Holder:
Scalable SVM-Based Classification in Dynamic Graphs. ICDM 2014: 650-659 - [c90]Syeda Selina Akter, Lawrence B. Holder:
Activity Recognition Using Graphical Features. ICMLA 2014: 165-170 - [c89]Zachary Wemlinger, Lawrence B. Holder:
Improving Activity Recognition in Smart Environments with Ontological Modeling. ICOST 2014: 129-137 - [c88]Lenin Mookiah, William Eberle, Lawrence B. Holder:
Detecting suspicious behavior using a graph-based approach. IEEE VAST 2014: 357-358 - [c87]Abhik Ray, Larry Holder, Sutanay Choudhury:
Frequent Subgraph Discovery in Large Attributed Streaming Graphs. BigMine 2014: 166-181 - [i7]Jeyanthi Narasimhan, Abhinav Vishnu, Lawrence Holder, Adolfy Hoisie:
Fast Support Vector Machines Using Parallel Adaptive Shrinking on Distributed Systems. CoRR abs/1406.5161 (2014) - [i6]Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Patrick Mackey, Khushbu Agarwal, John Feo:
Query Optimization for Dynamic Graphs. CoRR abs/1407.3745 (2014) - 2013
- [j42]Md. Muksitul Haque, Lawrence B. Holder, Michael K. Skinner, Diane J. Cook:
Generalized Query-Based Active Learning to Identify Differentially Methylated Regions in DNA. IEEE ACM Trans. Comput. Biol. Bioinform. 10(3): 632-644 (2013) - [c86]William Eberle, Lawrence B. Holder:
Incremental Anomaly Detection in Graphs. ICDM Workshops 2013: 521-528 - [c85]David J. Haglin, Lawrence B. Holder:
Combining Structure and Property Values is Essential for Graph-Based Learning. IPDPS Workshops 2013: 1899-1904 - [c84]Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder:
Towards a network-of-networks framework for cyber security. ISI 2013: 106-108 - [c83]Sutanay Choudhury, Lawrence B. Holder, John Feo, George Chin Jr.:
Fast search for dynamic multi-relational graphs. DyNetMM@SIGMOD 2013: 1-8 - [c82]Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Abhik Ray, Sherman Beus, John Feo:
StreamWorks: a system for dynamic graph search. SIGMOD Conference 2013: 1101-1104 - [i5]Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder:
Towards a Networks-of-Networks Framework for Cyber Security. CoRR abs/1304.6761 (2013) - [i4]Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., John Feo:
Fast Search for Dynamic Multi-Relational Graphs. CoRR abs/1306.2459 (2013) - [i3]Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Abhik Ray, Sherman Beus, John Feo:
StreamWorks - A system for Dynamic Graph Search. CoRR abs/1306.2460 (2013) - 2012
- [c81]Barnan Das, Brian L. Thomas, Adriana M. Seelye, Diane J. Cook, Larry B. Holder, Maureen Schmitter-Edgecombe:
Context-aware prompting from your smart phone. CCNC 2012: 56-57 - [c80]Barnan Das, Adriana M. Seelye, Brian L. Thomas, Diane J. Cook, Larry B. Holder, Maureen Schmitter-Edgecombe:
Using smart phones for context-aware prompting in smart environments. CCNC 2012: 399-403 - [c79]S. Seth Long, Lawrence B. Holder:
Graph based MRI brain scan classification and correlation discovery. CIBCB 2012: 335-342 - [c78]William Eberle, Lawrence B. Holder, Beverly Massengill:
Graph-Based Anomaly Detection Applied to Homeland Security Cargo Screening. FLAIRS 2012 - [c77]Abhik Ray, Lawrence B. Holder:
Efficiency Improvements for Parallel Subgraph Miners. FLAIRS 2012 - [p4]Diane J. Cook, Lawrence B. Holder:
Sensor Selection to Support Practical Use of Health-Monitoring Smart Environments. Handbook of Ambient Assisted Living 2012: 434-450 - [i2]Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., John Feo:
Large-scale continuous subgraph queries on streams. CoRR abs/1208.0055 (2012) - 2011
- [j41]S. Seth Long, Lawrence B. Holder:
Graph-Based Shape Analysis for MRI Classification. Int. J. Knowl. Discov. Bioinform. 2(2): 19-33 (2011) - [j40]Diane J. Cook, Maureen Schmitter-Edgecombe, Lawrence B. Holder:
Gerontechnology Education: Beyond the Barriers. IEEE Pervasive Comput. 10(4): 59-63 (2011) - [j39]Parisa Rashidi, Diane J. Cook, Lawrence B. Holder, Maureen Schmitter-Edgecombe:
Discovering Activities to Recognize and Track in a Smart Environment. IEEE Trans. Knowl. Data Eng. 23(4): 527-539 (2011) - [j38]Diane J. Cook, Lawrence B. Holder:
Sensor selection to support practical use of health-monitoring smart environments. WIREs Data Mining Knowl. Discov. 1(4): 339-351 (2011) - [c76]William Eberle, Lawrence B. Holder:
Graph-Based Knowledge Discovery: Compression versus Frequency. FLAIRS 2011 - [c75]Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Holder:
Handling of Numeric Ranges with the Subdue System. FLAIRS 2011 - [c74]S. Seth Long, Lawrence B. Holder:
Graph Based Classification of MRI Data Based on the Ventricular System. ICDM Workshops 2011: 1034-1041 - [c73]S. Seth Long, Lawrence B. Holder:
Using Graphs to Improve Activity Prediction in Smart Environments Based on Motion Sensor Data. ICOST 2011: 57-64 - [c72]Zachary Wemlinger, Lawrence B. Holder:
The COSE Ontology: Bringing the Semantic Web to Smart Environments. ICOST 2011: 205-209 - 2010
- [c71]William Eberle, Lawrence B. Holder, Jeffrey Graves:
Using a Graph-Based Approach for Discovering Cybercrime. FLAIRS 2010 - [c70]Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Holder:
Handling of Numeric Ranges for Graph-Based Knowledge Discovery. FLAIRS 2010 - [c69]Ehsan Nazerfard, Barnan Das, Lawrence B. Holder, Diane J. Cook:
Conditional random fields for activity recognition in smart environments. IHI 2010: 282-286 - [c68]Ruoyu Zou, Lawrence B. Holder:
Frequent subgraph mining on a single large graph using sampling techniques. MLG@KDD 2010: 171-178 - [r2]Lawrence B. Holder:
Greedy Search Approach of Graph Mining. Encyclopedia of Machine Learning 2010: 483-489
2000 – 2009
- 2009
- [j37]Larry Holder, Mohan Kumar, Raffaele Bruno:
Introduction to the special issue on homeland and global security. Pervasive Mob. Comput. 5(2): 133-134 (2009) - [c67]William Eberle, Lawrence B. Holder:
Mining for insider threats in business transactions and processes. CIDM 2009: 163-170 - [c66]Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook:
Empirical comparison of graph classification algorithms. CIDM 2009: 259-266 - [c65]Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook:
Faster computation of the direct product kernel for graph classification. CIDM 2009: 267-274 - [c64]William Eberle, Lawrence B. Holder:
Graph-based approaches to insider threat detection. CSIIRW 2009: 44 - [c63]William Eberle, Lawrence B. Holder:
Discovering Anomalies to Multiple Normative Patterns in Structural and Numeric Data. FLAIRS 2009 - [c62]Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook:
gRegress: Extracting Features from Graph Transactions for Regression. IJCAI 2009: 1089-1094 - [c61]William Eberle, Lawrence B. Holder:
Applying graph-based anomaly detection approaches to the discovery of insider threats. ISI 2009: 206-208 - [c60]Chang Hun You, Lawrence B. Holder, Diane J. Cook:
Learning patterns in the dynamics of biological networks. KDD 2009: 977-986 - [p3]Chang Hun You, Lawrence B. Holder, Diane J. Cook:
Substructure Analysis of Metabolic Pathways by Graph-Based Relational Learning. Biomedical Data and Applications 2009: 237-261 - [r1]Lawrence B. Holder:
Graph-Based Data Mining. Encyclopedia of Data Warehousing and Mining 2009: 943-949 - 2008
- [j36]Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook:
Inferring Graph Grammars by Detecting Overlap in Frequent Subgraphs. Int. J. Appl. Math. Comput. Sci. 18(2): 241-250 (2008) - [j35]Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook:
Inference of Edge Replacement Graph Grammars. Int. J. Artif. Intell. Tools 17(3): 539-554 (2008) - [j34]Lawrence B. Holder, Xifeng Yan:
Report on the First International Workshop on Mining Graphs and Complex Structures (MGCS'07). SIGMOD Rec. 37(1): 53-55 (2008) - [c59]Chang Hun You, Lawrence B. Holder, Diane J. Cook:
Dynamic Graph-based Relational Learning of Temporal Patterns in Biological Networks Changing over Time. BIOCOMP 2008: 984-990 - [c58]Chang Hun You, Lawrence B. Holder, Diane J. Cook:
Temporal and structural analysis of biological networks in combination with microarray data. CIBCB 2008: 62-69 - [c57]Chang Hun You, Lawrence B. Holder, Diane J. Cook:
Graph-Based Data Mining in Dynamic Networks: Empirical Comparison of Compression-Based and Frequency-Based Subgraph Mining. ICDM Workshops 2008: 929-938 - [c56]Ashish C. Singh, Lawrence B. Holder:
Strategic Path Planning on the Basis of Risk vs. Time. ICEC 2008: 77-87 - [c55]Allen Christiansen, Damian Johnson, Lawrence B. Holder:
Game-Based Simulation for the Evaluation of Threat Detection in a Seaport Environment. ICEC 2008: 221-224 - 2007
- [j33]Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook:
Inference of node replacement graph grammars. Intell. Data Anal. 11(4): 377-400 (2007) - [j32]William Eberle, Lawrence B. Holder:
Anomaly detection in data represented as graphs. Intell. Data Anal. 11(6): 663-689 (2007) - [j31]Diane J. Cook, Lawrence B. Holder, G. Michael Youngblood:
Graph-Based Analysis of Human Transfer Learning Using a Game Testbed. IEEE Trans. Knowl. Data Eng. 19(11): 1465-1478 (2007) - [c54]Jacek P. Kukluk, Chang Hun You, Lawrence B. Holder, Diane J. Cook:
Learning Node Replacement Graph Grammars in Metabolic Pathways. BIOCOMP 2007: 44-50 - [c53]William Eberle, Lawrence B. Holder:
Mining for Structural Anomalies in Graph-based Data. DMIN 2007: 376-389 - [c52]Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook:
Inference of Edge Replacement Graph Grammars. FLAIRS 2007: 496-501 - [c51]William Eberle, Lawrence B. Holder:
Discovering Structural Anomalies in Graph-Based Data. ICDM Workshops 2007: 393-398 - [p2]Joseph T. Potts, Diane J. Cook, Lawrence B. Holder:
Learning from Supervised Graphs. Applied Graph Theory in Computer Vision and Pattern Recognition 2007: 183-201 - 2006
- [j30]Ingrid Russell, Zdravko Markov, Lawrence B. Holder, Diane J. Cook:
The 2005 International Florida Artificial Intelligence Research Society Conference: A Report. AI Mag. 27(1): 109-113 (2006) - [j29]Lawrence B. Holder, Zdravko Markov, Ingrid Russell:
Advances in Knowledge Acquisition and Representation. Int. J. Artif. Intell. Tools 15(6): 867-874 (2006) - [j28]Jeffrey Coble, Diane J. Cook, Lawrence B. Holder:
Structure Discovery in Sequentially-connected Data Streams. Int. J. Artif. Intell. Tools 15(6): 917-944 (2006) - [c50]G. Michael Youngblood, Billy Nolen, Michael Ross, Lawrence B. Holder:
Building Test Beds for AI with the Q3 Mod Base. AIIDE 2006: 153-154 - [c49]Chang Hun You, Lawrence B. Holder, Diane J. Cook:
Application of Graph-based Data Mining to Metabolic Pathways. ICDM Workshops 2006: 169-173 - [c48]Keven Ates, Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook, Kang Zhang:
Graph Grammar Induction on Structural Data for Visual Programming. ICTAI 2006: 232-242 - [c47]Amar Singh, Lawrence B. Holder:
Classification of Threats Via a Multi-sensor Security Portal. ISI 2006: 699-700 - [c46]William Eberle, Lawrence B. Holder:
Detecting Anomalies in Cargo Using Graph Properties. ISI 2006: 728-730 - [c45]Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook:
Inference of Node Replacement Recursive Graph Grammars. SDM 2006: 544-548 - 2005
- [j27]Lawrence B. Holder, Diane J. Cook, Jeffrey Coble, Maitrayee Mukherjee:
Graph-based Relational Learning with Application to Security. Fundam. Informaticae 66(1-2): 83-101 (2005) - [j26]Jeffrey Coble, Runu Rathi, Diane J. Cook, Lawrence B. Holder:
Iterative Structure Discovery in Graph-Based Data. Int. J. Artif. Intell. Tools 14(1-2): 101-124 (2005) - [j25]Ingrid Russell, Zdravko Markov, Brian Carse, Anthony G. Pipe, Lawrence B. Holder:
Editorial. Int. J. Pattern Recognit. Artif. Intell. 19(2): 129-132 (2005) - [j24]Lawrence B. Holder, Ingrid Russell, Zdravko Markov, Anthony G. Pipe, Brian Carse:
Current And Future Trends In Feature Selection And Extraction For Classification Problems. Int. J. Pattern Recognit. Artif. Intell. 19(2): 133-142 (2005) - [j23]G. Michael Youngblood, Diane J. Cook, Lawrence B. Holder:
Managing Adaptive Versatile environments. Pervasive Mob. Comput. 1(4): 373-403 (2005) - [j22]Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook:
Comparison of graph-based and logic-based multi-relational data mining. SIGKDD Explor. 7(2): 64-71 (2005) - [c44]G. Michael Youngblood, Diane J. Cook, Lawrence B. Holder:
A Learning Architecture for Automating the Intelligent Environment. AAAI 2005: 1576-1583 - [c43]