Lawrence B. Holder

Orcid: 0000-0002-6586-3144

Affiliations:
  • Washington State University, School of Electrical Engineering and Computer Science, Pullman, WA, USA


According to our database1, Lawrence B. Holder authored at least 179 papers between 1988 and 2023.

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Bibliography

2023
Hybrid deep learning approach to improve classification of low-volume high-dimensional data.
BMC Bioinform., December, 2023

Understanding and Estimating Domain Complexity Across Domains.
CoRR, 2023

Toward Defining a Domain Complexity Measure Across Domains.
CoRR, 2023

2022
ITeM: Independent temporal motifs to summarize and compare temporal networks.
Intell. Data Anal., 2022

Multimodal Fusion of Smart Home and Text-based Behavior Markers for Clinical Assessment Prediction.
ACM Trans. Comput. Heal., 2022

Weibull-Open-World (WOW) Multi-Type Novelty Detection in CartPole3D.
Algorithms, 2022

2021
Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach.
BMC Bioinform., 2021

Towards a Unifying Framework for Formal Theories of Novelty.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion.
CoRR, 2020

Measuring the Complexity of Domains Used to Evaluate AI Systems.
CoRR, 2020

Graph Filtering to Remove the "Middle Ground" for Anomaly Detection.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Improving IoT Predictions through the Identification of Graphical Features.
Sensors, 2019

On Graph Mining With Deep Learning: Introducing Model R for Link Weight Prediction.
J. Artif. Intell. Soft Comput. Res., 2019

Efficient frequent subgraph mining on large streaming graphs.
Intell. Data Anal., 2019

2018
Sensor Network Configuration Learning for Maximizing Application Performance.
Sensors, 2018

Cross-environment activity recognition using a shared semantic vocabulary.
Pervasive Mob. Comput., 2018

Percolator: Scalable Pattern Discovery in Dynamic Graphs.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Activity Recognition Using Graphical Features from Smart Phone Sensor.
Proceedings of the Internet of Things - ICIOT 2018, 2018

2017
Greedy Search Approach of Graph Mining.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

GraphZip: Dictionary-based Compression for Mining Graph Streams.
CoRR, 2017

Using Graphical Features To Improve Demographic Prediction From Smart Phone Data.
Proceedings of the 2nd International Workshop on Network Data Analytics, 2017

Deep learning approach to link weight prediction.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Thyme: Improving Smartphone Prompt Timing Through Activity Awareness.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Application-specific graph sampling for frequent subgraph mining and community detection.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Comparison of simulators for assessing the ability to sustain wireless sensor networks using dynamic network reconfiguration.
Sustain. Comput. Informatics Syst., 2016

Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs.
SIGKDD Explor., 2016

Incremental SVM-based classification in dynamic streaming networks.
Intell. Data Anal., 2016

Network of Spiking Neurons Driven by Compression.
Proceedings of the 2016 Data Compression Conference, 2016

StarIso: Graph Isomorphism Through Lossy Compression.
Proceedings of the 2016 Data Compression Conference, 2016

Classification in dynamic streaming networks.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Extracting Generalizable Spatial Features from Smart Phones Datasets.
Proceedings of the Artificial Intelligence Applied to Assistive Technologies and Smart Environments, 2016

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

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

A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

Fast and Accurate Support Vector Machines on Large Scale Systems.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

Scalable classification for large dynamic networks.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Special issue on data mining in pervasive environments.
Pervasive Mob. Comput., 2014

Imbalanced Class Learning in Epigenetics.
J. Comput. Biol., 2014

Natural Language Generation from Graphs.
Int. J. Semantic Comput., 2014

Fast Support Vector Machines Using Parallel Adaptive Shrinking on Distributed Systems.
CoRR, 2014

Query Optimization for Dynamic Graphs.
CoRR, 2014

Frequent Subgraph Discovery in Large Attributed Streaming Graphs.
Proceedings of the 3rd International Workshop on Big Data, 2014

Detecting suspicious behavior using a graph-based approach.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

Improving Activity Recognition in Smart Environments with Ontological Modeling.
Proceedings of the Smart Homes and Health Telematics - 12th International Conference, 2014

Activity Recognition Using Graphical Features.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Scalable SVM-Based Classification in Dynamic Graphs.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Predicting and detecting emerging cyberattack patterns using StreamWorks.
Proceedings of the Cyber and Information Security Research Conference, 2014

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

2013
Generalized Query-Based Active Learning to Identify Differentially Methylated Regions in DNA.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Towards a Networks-of-Networks Framework for Cyber Security
CoRR, 2013

Fast search for dynamic multi-relational graphs.
Proceedings of the Workshop on Dynamic Networks Management and Mining, 2013

StreamWorks: a system for dynamic graph search.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Towards a network-of-networks framework for cyber security.
Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013

Combining Structure and Property Values is Essential for Graph-Based Learning.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

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

2012
Sensor Selection to Support Practical Use of Health-Monitoring Smart Environments.
Proceedings of the Handbook of Ambient Assisted Living, 2012

Large-scale continuous subgraph queries on streams
CoRR, 2012

Efficiency Improvements for Parallel Subgraph Miners.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

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

Graph based MRI brain scan classification and correlation discovery.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

Context-aware prompting from your smart phone.
Proceedings of the 2012 IEEE Consumer Communications and Networking Conference (CCNC), 2012

Using smart phones for context-aware prompting in smart environments.
Proceedings of the 2012 IEEE Consumer Communications and Networking Conference (CCNC), 2012

2011
Sensor selection to support practical use of health-monitoring smart environments.
WIREs Data Mining Knowl. Discov., 2011

Discovering Activities to Recognize and Track in a Smart Environment.
IEEE Trans. Knowl. Data Eng., 2011

Gerontechnology Education: Beyond the Barriers.
IEEE Pervasive Comput., 2011

Graph-Based Shape Analysis for MRI Classification.
Int. J. Knowl. Discov. Bioinform., 2011

The COSE Ontology: Bringing the Semantic Web to Smart Environments.
Proceedings of the Toward Useful Services for Elderly and People with Disabilities, 2011

Using Graphs to Improve Activity Prediction in Smart Environments Based on Motion Sensor Data.
Proceedings of the Toward Useful Services for Elderly and People with Disabilities, 2011

Graph Based Classification of MRI Data Based on the Ventricular System.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Handling of Numeric Ranges with the Subdue System.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

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

2010
Greedy Search Approach of Graph Mining.
Proceedings of the Encyclopedia of Machine Learning, 2010

Frequent subgraph mining on a single large graph using sampling techniques.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Conditional random fields for activity recognition in smart environments.
Proceedings of the ACM International Health Informatics Symposium, 2010

Handling of Numeric Ranges for Graph-Based Knowledge Discovery.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

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

2009
Substructure Analysis of Metabolic Pathways by Graph-Based Relational Learning.
Proceedings of the Biomedical Data and Applications, 2009

Graph-Based Data Mining.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Introduction to the special issue on homeland and global security.
Pervasive Mob. Comput., 2009

Learning patterns in the dynamics of biological networks.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 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

gRegress: Extracting Features from Graph Transactions for Regression.
Proceedings of the IJCAI 2009, 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

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

Faster computation of the direct product kernel for graph classification.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

Empirical comparison of graph classification algorithms.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

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

2008
Report on the First International Workshop on Mining Graphs and Complex Structures (MGCS'07).
SIGMOD Rec., 2008

Inference of Edge Replacement Graph Grammars.
Int. J. Artif. Intell. Tools, 2008

Inferring Graph Grammars by Detecting Overlap in Frequent Subgraphs.
Int. J. Appl. Math. Comput. Sci., 2008

Strategic Path Planning on the Basis of Risk vs. Time.
Proceedings of the Entertainment Computing, 2008

Game-Based Simulation for the Evaluation of Threat Detection in a Seaport Environment.
Proceedings of the Entertainment Computing, 2008

Graph-Based Data Mining in Dynamic Networks: Empirical Comparison of Compression-Based and Frequency-Based Subgraph Mining.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Temporal and structural analysis of biological networks in combination with microarray data.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008

Dynamic Graph-based Relational Learning of Temporal Patterns in Biological Networks Changing over Time.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008

2007
Learning from Supervised Graphs.
Proceedings of the Applied Graph Theory in Computer Vision and Pattern Recognition, 2007

Graph-Based Analysis of Human Transfer Learning Using a Game Testbed.
IEEE Trans. Knowl. Data Eng., 2007

Inference of node replacement graph grammars.
Intell. Data Anal., 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

Learning Node Replacement Graph Grammars in Metabolic Pathways.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

2006
Advances in Knowledge Acquisition and Representation.
Int. J. Artif. Intell. Tools, 2006

Structure Discovery in Sequentially-connected Data Streams.
Int. J. Artif. Intell. Tools, 2006

The 2005 International Florida Artificial Intelligence Research Society Conference: A Report.
AI Mag., 2006

Inference of Node Replacement Recursive Graph Grammars.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Classification of Threats Via a Multi-sensor Security Portal.
Proceedings of the Intelligence and Security Informatics, 2006

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

Graph Grammar Induction on Structural Data for Visual Programming.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Application of Graph-based Data Mining to Metabolic Pathways.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Building Test Beds for AI with the Q3 Mod Base.
Proceedings of the Second Artificial Intelligence and Interactive Digital Entertainment Conference, 2006

2005
Comparison of graph-based and logic-based multi-relational data mining.
SIGKDD Explor., 2005

Managing Adaptive Versatile environments.
Pervasive Mob. Comput., 2005

Editorial.
Int. J. Pattern Recognit. Artif. Intell., 2005

Current And Future Trends In Feature Selection And Extraction For Classification Problems.
Int. J. Pattern Recognit. Artif. Intell., 2005

Iterative Structure Discovery in Graph-Based Data.
Int. J. Artif. Intell. Tools, 2005

Graph-based Relational Learning with Application to Security.
Fundam. Informaticae, 2005

Seamlessly engineering a smart environment.
Proceedings of the IEEE International Conference on Systems, 2005

Automation Intelligence for the Smart Environment.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Automated HPOMDP Construction through Data-mining Techniques in the Intelligent Environment Domain.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

A Serial Partitioning Approach to Scaling Graph-Based Knowledge Discovery.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

Learning from Examples in a Single Graph.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

Structure Discovery in Sequentially Connected Data.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

A Learning Architecture for Automating the Intelligent Environment.
Proceedings of the Proceedings, 2005

2004
Algorithm and Experiments in Testing Planar Graphs for Isomorphism.
J. Graph Algorithms Appl., 2004

Enhancing computer science education with a wireless intelligent simulation environment.
J. Comput. High. Educ., 2004

Structural web search engine.
Int. J. Artif. Intell. Tools, 2004

Mdl-based context-free graph grammar induction and applications.
Int. J. Artif. Intell. Tools, 2004

Attribute-Value Selection Based on Minimum Description Length.
Proceedings of the International Conference on Artificial Intelligence, 2004

Agent-based Players for a First-person Entertainment-based Real-time Artificial Environment.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

Structure Discovery from Sequential Data.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

2003
Graph-based relational learning: current and future directions.
SIGKDD Explor., 2003

Using a Graph-Based Data Mining System to Perform Web Search.
Int. J. Pattern Recognit. Artif. Intell., 2003

Evaluating Human-Consistent Behavior in a Real-time First-person Entertainment-based Artificial Environment.
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

Identifying Inhabitants of an Intelligent Environment Using a Graph-Based Data Mining System.
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

MDL-Based Context-Free Graph Grammar Induction.
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

2002
Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems.
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

Graph-Based Relational Concept Learning.
Proceedings of the Machine Learning, 2002

Enhancing Structure Discovery for Data Mining in Graphical Databases Using Evolutionary Programming.
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, 2002

2001
Cover story: structural Web search using a graph-based discovery system.
Intell., 2001

Approaches to Parallel Graph-Based Knowledge Discovery.
J. Parallel Distributed Comput., 2001

Graph-Based Hierarchical Conceptual Clustering.
J. Mach. Learn. Res., 2001

A client-server computational tool for integrated artificial intelligence curriculum.
J. Comput. High. Educ., 2001

Structural Web Search Using a Graph-Based Discovery System.
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

A Client-Server Interactive Tool for Integrated Artificial Intelligence Curriculum.
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

2000
Graph-Based Data Mining.
IEEE Intell. Syst., 2000

Structural Knowledge Discovery Used to Analyze Earthquake Activity.
Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference, 2000

Discovering Structural Patterns in Telecommunications Data.
Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference, 2000

Graph-Based Hierarchical Conceptual Clustering in Structural Databases.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

Graph Based Concept Learning.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Exploiting Parallelism in a Structural Scientific Discovery System to Improve Scalability.
J. Am. Soc. Inf. Sci., 1999

Knowledge discovery in molecular biology: Identifying structural regularities in proteins.
Intell. Data Anal., 1999

Experimentation-Driven Knowledge Acquisition for Planning.
Comput. Intell., 1999

Application of Knowledge Discovery to Molecular Biology: Identifying Structural Regularities in Proteins.
Proceedings of the 4th Pacific Symposium on Biocomputing, 1999

Applying the Subdue Substructure Discovery System to the Chemical Toxicity Domain.
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference, 1999

Structural Knowledge Discovery in Chemical and Spatio-Temporal Databases.
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

Discovering Concepts in Structural Data.
Proceedings of the Pattern Discovery in Biomolecular Data: Tools, 1999

1998
Exploiting Parallelism in Knowledge Discovery Systems to Improve Scalability.
Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences, 1998

Coupling Two Complementary Knowledge Discovery Systems.
Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998

1997
An Emprirical Study of Domain Knowledge and Its Benefits to Substructure Discovery.
IEEE Trans. Knowl. Data Eng., 1997

Improving Scalability in a Scientific Discovery System by Exploiting Parallelism.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

1996
Decision-Theoretic Cooperative Sensor Planning.
IEEE Trans. Pattern Anal. Mach. Intell., 1996

Scalable Discovery of Informative Structural Concepts Using Domain Knowledge.
IEEE Expert, 1996

User-Centered System Decomposition: Z-Based Requirements Clustering.
Proceedings of the 2nd International Conference on Requirements Engineering, 1996

1995
Knowledge Discovery from Structural Data.
J. Intell. Inf. Syst., 1995

Analyzing the Benefits of Domain Knowledge in Substructure Discovery.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

Intermediate Decision Trees.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994
Substructure Discovery Using Minimum Description Length and Background Knowledge.
J. Artif. Intell. Res., 1994

Substucture Discovery in the SUBDUE System.
Proceedings of the Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, 1994

An Empirical Approach to Solving the General Utility Problem in Speedup Learning.
Proceedings of the Seventh International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1994

1993
Discovery of Inexact Concepts from Structural Data.
IEEE Trans. Knowl. Data Eng., 1993

1992
Fuzzy Substructure Discovery.
Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

Empirical Analysis of the General Utility Problem in Machine Learning.
Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991
Maintaining the utility of learned knowledge using model-based adaptive control
PhD thesis, 1991

1990
Accelerated learning on the connection machine.
Proceedings of the Second IEEE Symposium on Parallel and Distributed Processing, 1990

Application of Machine Learning to the Maintenance of Knowledge-Based Performance.
Proceedings of the Third International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1990, July 15-18, 1990, The Mills House Hotel, Charleston, SC, USA, 1990

The General Utility Problem in Machine Learning.
Proceedings of the Machine Learning, 1990

1989
Empirical Substructure Discovery.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988
Towards Intelligent Machine Learning Algorithms.
Proceedings of the 8th European Conference on Artificial Intelligence, 1988


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