Lawrence B. Holder

ORCID

Publication Activity (10 Years)

Years Active: 1988-2022
Publications (10 Years): 19

Top Venues

Publications

Sumit Purohit, George Chin, Lawrence B. Holder
ITeM: Independent temporal motifs to summarize and compare temporal networks. Intell. Data Anal. 26 (4) (2022)
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) (2022)
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) (2022)
Sumit Purohit, Lawrence B. Holder, George Chin Jr.
ITeM: Independent Temporal Motifs to Summarize and Compare Temporal Networks. CoRR (2020)
Abhik Ray, Lawrence B. Holder, Albert Bifet
Efficient frequent subgraph mining on large streaming graphs. Intell. Data Anal. 23 (1) (2019)
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) (2019)
Zachary Wemlinger, Lawrence B. Holder
Cross-environment activity recognition using a shared semantic vocabulary. Pervasive Mob. Comput. 51 (2018)
Joel Helkey, Lawrence B. Holder
Sensor Network Configuration Learning for Maximizing Application Performance. Sensors 18 (6) (2018)
Sutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence B. Holder, Khushbu Agarwal
Percolator: Scalable Pattern Discovery in Dynamic Graphs. WSDM (2018)
Syeda Selina Akter, Lawrence B. Holder, Diane J. Cook
Activity Recognition Using Graphical Features from Smart Phone Sensor. ICIOT (2018)
Samaneh Aminikhanghahi, Ramin Fallahzadeh, Matthew Sawyer, Diane J. Cook, Lawrence B. Holder
Thyme: Improving Smartphone Prompt Timing Through Activity Awareness. ICMLA (2017)
Yuchen Hou, Lawrence B. Holder
Deep learning approach to link weight prediction. IJCNN (2017)
Syeda Selina Akter, Lawrence B. Holder
Using Graphical Features To Improve Demographic Prediction From Smart Phone Data. NDA@SIGMOD (2017)
Charles A. Packer, Lawrence B. Holder
GraphZip: Dictionary-based Compression for Mining Graph Streams. CoRR (2017)
Sumit Purohit, Sutanay Choudhury, Lawrence B. Holder
Application-specific graph sampling for frequent subgraph mining and community detection. IEEE BigData (2017)
Yibo Yao, Lawrence B. Holder
Incremental SVM-based classification in dynamic streaming networks. Intell. Data Anal. 20 (4) (2016)
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)
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) (2016)
Yibo Yao, Lawrence B. Holder
Classification in dynamic streaming networks. ASONAM (2016)
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)
William Eberle, Lawrence B. Holder
Scalable anomaly detection in graphs. Intell. Data Anal. 19 (1) (2015)
Yibo Yao, Lawrence B. Holder
Scalable classification for large dynamic networks. IEEE BigData (2015)
Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Khushbu Agarwal, John Feo
A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs. CoRR (2015)
Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Patrick Mackey, Khushbu Agarwal, John Feo
Query Optimization for Dynamic Graphs. CoRR (2014)
Md. Muksitul Haque, Michael K. Skinner, Lawrence B. Holder
Imbalanced Class Learning in Epigenetics. J. Comput. Biol. 21 (7) (2014)
William Eberle, Lawrence B. Holder
A partitioning approach to scaling anomaly detection in graph streams. IEEE BigData (2014)
Lenin Mookiah, William Eberle, Lawrence B. Holder
Detecting suspicious behavior using a graph-based approach. IEEE VAST (2014)
Yibo Yao, Lawrence B. Holder
Scalable SVM-Based Classification in Dynamic Graphs. ICDM (2014)
Zachary Wemlinger, Lawrence B. Holder
Improving Activity Recognition in Smart Environments with Ontological Modeling. ICOST (2014)
George Chin Jr., Sutanay Choudhury, John Feo, Lawrence B. Holder
Predicting and detecting emerging cyberattack patterns using StreamWorks. CISR (2014)
Syeda Selina Akter, Lawrence B. Holder
Activity Recognition Using Graphical Features. ICMLA (2014)
Ngan T. Dong, Lawrence B. Holder
Natural Language Generation from Graphs. Int. J. Semantic Comput. 8 (3) (2014)
Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Abhik Ray, Sherman Beus, John Feo
StreamWorks - A system for Dynamic Graph Search. CoRR (2013)
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) (2013)
David J. Haglin, Lawrence B. Holder
Combining Structure and Property Values is Essential for Graph-Based Learning. IPDPS Workshops (2013)
Sutanay Choudhury, Lawrence B. Holder, John Feo, George Chin Jr.
Fast search for dynamic multi-relational graphs. DyNetMM@SIGMOD (2013)
William Eberle, Lawrence B. Holder
Incremental Anomaly Detection in Graphs. ICDM Workshops (2013)
Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., John Feo
Fast Search for Dynamic Multi-Relational Graphs. CoRR (2013)
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)
Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Abhik Ray, Sherman Beus, John Feo
StreamWorks: a system for dynamic graph search. SIGMOD Conference (2013)
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 (2013)
Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., John Feo
Large-scale continuous subgraph queries on streams CoRR (2012)
Abhik Ray, Lawrence B. Holder
Efficiency Improvements for Parallel Subgraph Miners. FLAIRS Conference (2012)
S. Seth Long, Lawrence B. Holder
Graph based MRI brain scan classification and correlation discovery. CIBCB (2012)
William Eberle, Lawrence B. Holder, Beverly Massengill
Graph-Based Anomaly Detection Applied to Homeland Security Cargo Screening. FLAIRS Conference (2012)
Diane J. Cook, Maureen Schmitter-Edgecombe, Lawrence B. Holder
Gerontechnology Education: Beyond the Barriers. IEEE Pervasive Comput. 10 (4) (2011)
S. Seth Long, Lawrence B. Holder
Graph-Based Shape Analysis for MRI Classification. Int. J. Knowl. Discov. Bioinform. 2 (2) (2011)
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) (2011)
S. Seth Long, Lawrence B. Holder
Graph Based Classification of MRI Data Based on the Ventricular System. ICDM Workshops (2011)
S. Seth Long, Lawrence B. Holder
Using Graphs to Improve Activity Prediction in Smart Environments Based on Motion Sensor Data. ICOST (2011)
Diane J. Cook, Lawrence B. Holder
Sensor selection to support practical use of health-monitoring smart environments. WIREs Data Mining Knowl. Discov. 1 (4) (2011)
Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Holder
Handling of Numeric Ranges with the Subdue System. FLAIRS Conference (2011)
William Eberle, Lawrence B. Holder
Graph-Based Knowledge Discovery: Compression versus Frequency. FLAIRS Conference (2011)
Zachary Wemlinger, Lawrence B. Holder
The COSE Ontology: Bringing the Semantic Web to Smart Environments. ICOST (2011)
William Eberle, Lawrence B. Holder, Jeffrey Graves
Using a Graph-Based Approach for Discovering Cybercrime. FLAIRS Conference (2010)
Ehsan Nazerfard, Barnan Das, Lawrence B. Holder, Diane J. Cook
Conditional random fields for activity recognition in smart environments. IHI (2010)
Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Holder
Handling of Numeric Ranges for Graph-Based Knowledge Discovery. FLAIRS Conference (2010)
Ruoyu Zou, Lawrence B. Holder
Frequent subgraph mining on a single large graph using sampling techniques. MLG@KDD (2010)
William Eberle, Lawrence B. Holder
Applying graph-based anomaly detection approaches to the discovery of insider threats. ISI (2009)
William Eberle, Lawrence B. Holder
Discovering Anomalies to Multiple Normative Patterns in Structural and Numeric Data. FLAIRS Conference (2009)
William Eberle, Lawrence B. Holder
Graph-based approaches to insider threat detection. CSIIRW (2009)
Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook
gRegress: Extracting Features from Graph Transactions for Regression. IJCAI (2009)
Chang Hun You, Lawrence B. Holder, Diane J. Cook
Learning patterns in the dynamics of biological networks. KDD (2009)
William Eberle, Lawrence B. Holder
Mining for insider threats in business transactions and processes. CIDM (2009)
Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook
Faster computation of the direct product kernel for graph classification. CIDM (2009)
Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook
Empirical comparison of graph classification algorithms. CIDM (2009)
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) (2008)
Chang Hun You, Lawrence B. Holder, Diane J. Cook
Temporal and structural analysis of biological networks in combination with microarray data. CIBCB (2008)
Ashish C. Singh, Lawrence B. Holder
Strategic Path Planning on the Basis of Risk vs. Time. ICEC (2008)
Allen Christiansen, Damian Johnson, Lawrence B. Holder
Game-Based Simulation for the Evaluation of Threat Detection in a Seaport Environment. ICEC (2008)
Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook
Inference of Edge Replacement Graph Grammars. Int. J. Artif. Intell. Tools 17 (3) (2008)
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)
Lawrence B. Holder, Xifeng Yan
Report on the First International Workshop on Mining Graphs and Complex Structures (MGCS'07). SIGMOD Rec. 37 (1) (2008)
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)
Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook
Inference of node replacement graph grammars. Intell. Data Anal. 11 (4) (2007)
William Eberle, Lawrence B. Holder
Mining for Structural Anomalies in Graph-based Data. DMIN (2007)
William Eberle, Lawrence B. Holder
Discovering Structural Anomalies in Graph-Based Data. ICDM Workshops (2007)
Jacek P. Kukluk, Chang Hun You, Lawrence B. Holder, Diane J. Cook
Learning Node Replacement Graph Grammars in Metabolic Pathways. BIOCOMP (2007)
William Eberle, Lawrence B. Holder
Anomaly detection in data represented as graphs. Intell. Data Anal. 11 (6) (2007)
Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook
Inference of Edge Replacement Graph Grammars. FLAIRS Conference (2007)
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) (2007)
Keven Ates, Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook, Kang Zhang
Graph Grammar Induction on Structural Data for Visual Programming. ICTAI (2006)
G. Michael Youngblood, Billy Nolen, Michael Ross, Lawrence B. Holder
Building Test Beds for AI with the Q3 Mod Base. AIIDE (2006)
Amar Singh, Lawrence B. Holder
Classification of Threats Via a Multi-sensor Security Portal. ISI (2006)
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) (2006)
Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook
Inference of Node Replacement Recursive Graph Grammars. SDM (2006)
Lawrence B. Holder, Zdravko Markov, Ingrid Russell
Advances in Knowledge Acquisition and Representation. Int. J. Artif. Intell. Tools 15 (6) (2006)
Chang Hun You, Lawrence B. Holder, Diane J. Cook
Application of Graph-based Data Mining to Metabolic Pathways. ICDM Workshops (2006)
Jeffrey Coble, Diane J. Cook, Lawrence B. Holder
Structure Discovery in Sequentially-connected Data Streams. Int. J. Artif. Intell. Tools 15 (6) (2006)
William Eberle, Lawrence B. Holder
Detecting Anomalies in Cargo Using Graph Properties. ISI (2006)
G. Michael Youngblood, Lawrence B. Holder, Diane J. Cook
Managing Adaptive Versatile Environments. PerCom (2005)
Runu Rathi, Diane J. Cook, Lawrence B. Holder
A Serial Partitioning Approach to Scaling Graph-Based Knowledge Discovery. FLAIRS Conference (2005)
Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook
Comparison of graph-based and logic-based multi-relational data mining. SIGKDD Explor. 7 (2) (2005)
Ingrid Russell, Zdravko Markov, Brian Carse, Anthony G. Pipe, Lawrence B. Holder
Editorial. Int. J. Pattern Recognit. Artif. Intell. 19 (2) (2005)
Lawrence B. Holder, Diane J. Cook, Jeffrey Coble, Maitrayee Mukherjee
Graph-based Relational Learning with Application to Security. Fundam. Informaticae 66 (1-2) (2005)
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) (2005)
G. Michael Youngblood, Diane J. Cook, Lawrence B. Holder
Seamlessly engineering a smart environment. SMC (2005)
G. Michael Youngblood, Edwin O. Heierman III, Lawrence B. Holder, Diane J. Cook
Automation Intelligence for the Smart Environment. IJCAI (2005)
Joseph T. Potts, Diane J. Cook, Lawrence B. Holder
Learning from Examples in a Single Graph. FLAIRS Conference (2005)
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) (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lawrence B. Holder