Lawrence B. Holder

171 papers A* 11A 3B 6C 17Misc 29Journal 64Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Feature-Augmented Transformer Model to Recognize Functional Activities From in-the-Wild Smartwatch Data. IEEE J. Biomed. Health Informatics Bryan David Minor, Colin Greeley, Ryan Holder, Brian Thomas, Lawrence B. Holder, Diane J. Cook
2025	J	`jnl`	Detecting and reacting to smart home novelties. Data Min. Knowl. Discov. Lawrence B. Holder, Baxter Eaves, Patrick Shafto, Christopher Pereyda, Brian L. Thomas, Diane J. Cook
2022	J	`jnl`	ITeM: Independent temporal motifs to summarize and compare temporal networks. Intell. Data Anal. Sumit Purohit, George Chin, Lawrence B. Holder
2022	J	`jnl`	Multimodal Fusion of Smart Home and Text-based Behavior Markers for Clinical Assessment Prediction. ACM Trans. Comput. Heal. Gina Sprint, Diane J. Cook, Maureen Schmitter-Edgecombe, Lawrence B. Holder
2022	J	`jnl`	Weibull-Open-World (WOW) Multi-Type Novelty Detection in CartPole3D. Algorithms Terrance E. Boult, Nicolas M. Windesheim, Steven Zhou, Christopher Pereyda, Lawrence B. Holder
2020	J	`jnl`	ITeM: Independent Temporal Motifs to Summarize and Compare Temporal Networks. CoRR Sumit Purohit, Lawrence B. Holder, George Chin Jr.
2019	J	`jnl`	Efficient frequent subgraph mining on large streaming graphs. Intell. Data Anal. Abhik Ray, Lawrence B. Holder, Albert Bifet
2019	J	`jnl`	On Graph Mining With Deep Learning: Introducing Model R for Link Weight Prediction. J. Artif. Intell. Soft Comput. Res. Yuchen Hou, Lawrence B. Holder
2018	—	`conf`	Activity Recognition Using Graphical Features from Smart Phone Sensor. ICIOT Syeda Selina Akter, Lawrence B. Holder, Diane J. Cook
2018	J	`jnl`	Cross-environment activity recognition using a shared semantic vocabulary. Pervasive Mob. Comput. Zachary Wemlinger, Lawrence B. Holder
2018	A	`conf`	Percolator: Scalable Pattern Discovery in Dynamic Graphs. WSDM Sutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence B. Holder, Khushbu Agarwal
2018	J	`jnl`	Sensor Network Configuration Learning for Maximizing Application Performance. Sensors Joel Helkey, Lawrence B. Holder
2017	—	`conf`	Application-specific graph sampling for frequent subgraph mining and community detection. IEEE BigData Sumit Purohit, Sutanay Choudhury, Lawrence B. Holder
2017	B	`conf`	Deep learning approach to link weight prediction. IJCNN Yuchen Hou, Lawrence B. Holder
2017	J	`jnl`	GraphZip: Dictionary-based Compression for Mining Graph Streams. CoRR Charles A. Packer, Lawrence B. Holder
2017	C	`conf`	Thyme: Improving Smartphone Prompt Timing Through Activity Awareness. ICMLA Samaneh Aminikhanghahi, Ramin Fallahzadeh, Matthew Sawyer, Diane J. Cook, Lawrence B. Holder
2017	—	`conf`	Using Graphical Features To Improve Demographic Prediction From Smart Phone Data. NDA@SIGMOD Syeda Selina Akter, Lawrence B. Holder
2016	B	`conf`	Classification in dynamic streaming networks. ASONAM Yibo Yao, Lawrence B. Holder
2016	J	`jnl`	Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs. SIGKDD Explor. 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
2016	—	`conf`	Extracting Generalizable Spatial Features from Smart Phones Datasets. AAAI Workshop: Artificial Intelligence Applied to Assistive Technologies and Smart Environments Kevin Bouchard, Lawrence B. Holder, Diane J. Cook
2016	J	`jnl`	Incremental SVM-based classification in dynamic streaming networks. Intell. Data Anal. Yibo Yao, Lawrence B. Holder
2015	B	`conf`	A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs. EDBT Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Khushbu Agarwal, John Feo
2015	J	`jnl`	A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs. CoRR Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Khushbu Agarwal, John Feo
2015	J	`jnl`	Scalable anomaly detection in graphs. Intell. Data Anal. William Eberle, Lawrence B. Holder
2015	—	`conf`	Scalable classification for large dynamic networks. IEEE BigData Yibo Yao, Lawrence B. Holder
2014	—	`conf`	A partitioning approach to scaling anomaly detection in graph streams. IEEE BigData William Eberle, Lawrence B. Holder
2014	C	`conf`	Activity Recognition Using Graphical Features. ICMLA Syeda Selina Akter, Lawrence B. Holder
2014	—	`conf`	Detecting suspicious behavior using a graph-based approach. IEEE VAST Lenin Mookiah, William Eberle, Lawrence B. Holder
2014	J	`jnl`	Imbalanced Class Learning in Epigenetics. J. Comput. Biol. Md. Muksitul Haque, Michael K. Skinner, Lawrence B. Holder
2014	C	`conf`	Improving Activity Recognition in Smart Environments with Ontological Modeling. ICOST Zachary Wemlinger, Lawrence B. Holder
2014	J	`jnl`	Natural Language Generation from Graphs. Int. J. Semantic Comput. Ngan T. Dong, Lawrence B. Holder
2014	—	`conf`	Predicting and detecting emerging cyberattack patterns using StreamWorks. CISR George Chin Jr., Sutanay Choudhury, John Feo, Lawrence B. Holder
2014	J	`jnl`	Query Optimization for Dynamic Graphs. CoRR Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Patrick Mackey, Khushbu Agarwal, John Feo
2014	A*	`conf`	Scalable SVM-Based Classification in Dynamic Graphs. ICDM Yibo Yao, Lawrence B. Holder
2013	—	`conf`	Combining Structure and Property Values is Essential for Graph-Based Learning. IPDPS Workshops David J. Haglin, Lawrence B. Holder
2013	J	`jnl`	Fast Search for Dynamic Multi-Relational Graphs. CoRR Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., John Feo
2013	—	`conf`	Fast search for dynamic multi-relational graphs. DyNetMM@SIGMOD Sutanay Choudhury, Lawrence B. Holder, John Feo, George Chin Jr.
2013	J	`jnl`	Generalized Query-Based Active Learning to Identify Differentially Methylated Regions in DNA. IEEE ACM Trans. Comput. Biol. Bioinform. Md. Muksitul Haque, Lawrence B. Holder, Michael K. Skinner, Diane J. Cook
2013	—	`conf`	Incremental Anomaly Detection in Graphs. ICDM Workshops William Eberle, Lawrence B. Holder
2013	J	`jnl`	StreamWorks - A system for Dynamic Graph Search. CoRR Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Abhik Ray, Sherman Beus, John Feo
2013	—	`conf`	StreamWorks: a system for dynamic graph search. SIGMOD Conference Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Abhik Ray, Sherman Beus, John Feo
2013	J	`jnl`	Towards a Networks-of-Networks Framework for Cyber Security CoRR Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder
2013	C	`conf`	Towards a network-of-networks framework for cyber security. ISI Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder
2012	Misc	`conf`	Efficiency Improvements for Parallel Subgraph Miners. FLAIRS Abhik Ray, Lawrence B. Holder
2012	C	`conf`	Graph based MRI brain scan classification and correlation discovery. CIBCB S. Seth Long, Lawrence B. Holder
2012	Misc	`conf`	Graph-Based Anomaly Detection Applied to Homeland Security Cargo Screening. FLAIRS William Eberle, Lawrence B. Holder, Beverly Massengill
2012	J	`jnl`	Large-scale continuous subgraph queries on streams CoRR Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., John Feo
2012	—	`ch.`	Sensor Selection to Support Practical Use of Health-Monitoring Smart Environments. Handbook of Ambient Assisted Living Diane J. Cook, Lawrence B. Holder
2011	J	`jnl`	Discovering Activities to Recognize and Track in a Smart Environment. IEEE Trans. Knowl. Data Eng. Parisa Rashidi, Diane J. Cook, Lawrence B. Holder, Maureen Schmitter-Edgecombe
2011	J	`jnl`	Gerontechnology Education: Beyond the Barriers. IEEE Pervasive Comput. Diane J. Cook, Maureen Schmitter-Edgecombe, Lawrence B. Holder
2011	—	`conf`	Graph Based Classification of MRI Data Based on the Ventricular System. ICDM Workshops S. Seth Long, Lawrence B. Holder
2011	Misc	`conf`	Graph-Based Knowledge Discovery: Compression versus Frequency. FLAIRS William Eberle, Lawrence B. Holder
2011	J	`jnl`	Graph-Based Shape Analysis for MRI Classification. Int. J. Knowl. Discov. Bioinform. S. Seth Long, Lawrence B. Holder
2011	Misc	`conf`	Handling of Numeric Ranges with the Subdue System. FLAIRS Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Holder
2011	J	`jnl`	Sensor selection to support practical use of health-monitoring smart environments. WIREs Data Mining Knowl. Discov. Diane J. Cook, Lawrence B. Holder
2011	C	`conf`	The COSE Ontology: Bringing the Semantic Web to Smart Environments. ICOST Zachary Wemlinger, Lawrence B. Holder
2011	C	`conf`	Using Graphs to Improve Activity Prediction in Smart Environments Based on Motion Sensor Data. ICOST S. Seth Long, Lawrence B. Holder
2010	—	`conf`	Conditional random fields for activity recognition in smart environments. IHI Ehsan Nazerfard, Barnan Das, Lawrence B. Holder, Diane J. Cook
2010	—	`conf`	Frequent subgraph mining on a single large graph using sampling techniques. MLG@KDD Ruoyu Zou, Lawrence B. Holder
2010	—	`ch.`	Greedy Search Approach of Graph Mining. Encyclopedia of Machine Learning Lawrence B. Holder
2010	Misc	`conf`	Handling of Numeric Ranges for Graph-Based Knowledge Discovery. FLAIRS Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Holder
2010	Misc	`conf`	Using a Graph-Based Approach for Discovering Cybercrime. FLAIRS William Eberle, Lawrence B. Holder, Jeffrey Graves
2009	C	`conf`	Applying graph-based anomaly detection approaches to the discovery of insider threats. ISI William Eberle, Lawrence B. Holder
2009	Misc	`conf`	Discovering Anomalies to Multiple Normative Patterns in Structural and Numeric Data. FLAIRS William Eberle, Lawrence B. Holder
2009	C	`conf`	Empirical comparison of graph classification algorithms. CIDM Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook
2009	C	`conf`	Faster computation of the direct product kernel for graph classification. CIDM Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook
2009	—	`ch.`	Graph-Based Data Mining. Encyclopedia of Data Warehousing and Mining Lawrence B. Holder
2009	—	`conf`	Graph-based approaches to insider threat detection. CSIIRW William Eberle, Lawrence B. Holder
2009	A*	`conf`	Learning patterns in the dynamics of biological networks. KDD Chang Hun You, Lawrence B. Holder, Diane J. Cook
2009	C	`conf`	Mining for insider threats in business transactions and processes. CIDM William Eberle, Lawrence B. Holder
2009	—	`ch.`	Substructure Analysis of Metabolic Pathways by Graph-Based Relational Learning. Biomedical Data and Applications Chang Hun You, Lawrence B. Holder, Diane J. Cook
2009	A*	`conf`	gRegress: Extracting Features from Graph Transactions for Regression. IJCAI Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook
2008	—	`conf`	Dynamic Graph-based Relational Learning of Temporal Patterns in Biological Networks Changing over Time. BIOCOMP Chang Hun You, Lawrence B. Holder, Diane J. Cook
2008	C	`conf`	Game-Based Simulation for the Evaluation of Threat Detection in a Seaport Environment. ICEC Allen Christiansen, Damian Johnson, Lawrence B. Holder
2008	—	`conf`	Graph-Based Data Mining in Dynamic Networks: Empirical Comparison of Compression-Based and Frequency-Based Subgraph Mining. ICDM Workshops Chang Hun You, Lawrence B. Holder, Diane J. Cook
2008	J	`jnl`	Inference of Edge Replacement Graph Grammars. Int. J. Artif. Intell. Tools Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook
2008	J	`jnl`	Inferring Graph Grammars by Detecting Overlap in Frequent Subgraphs. Int. J. Appl. Math. Comput. Sci. Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook
2008	J	`jnl`	Report on the First International Workshop on Mining Graphs and Complex Structures (MGCS'07). SIGMOD Rec. Lawrence B. Holder, Xifeng Yan
2008	C	`conf`	Strategic Path Planning on the Basis of Risk vs. Time. ICEC Ashish C. Singh, Lawrence B. Holder
2008	C	`conf`	Temporal and structural analysis of biological networks in combination with microarray data. CIBCB Chang Hun You, Lawrence B. Holder, Diane J. Cook
2007	J	`jnl`	Anomaly detection in data represented as graphs. Intell. Data Anal. William Eberle, Lawrence B. Holder
2007	—	`conf`	Discovering Structural Anomalies in Graph-Based Data. ICDM Workshops William Eberle, Lawrence B. Holder
2007	J	`jnl`	Graph-Based Analysis of Human Transfer Learning Using a Game Testbed. IEEE Trans. Knowl. Data Eng. Diane J. Cook, Lawrence B. Holder, G. Michael Youngblood
2007	Misc	`conf`	Inference of Edge Replacement Graph Grammars. FLAIRS Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook
2007	J	`jnl`	Inference of node replacement graph grammars. Intell. Data Anal. Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook
2007	—	`conf`	Learning Node Replacement Graph Grammars in Metabolic Pathways. BIOCOMP Jacek P. Kukluk, Chang Hun You, Lawrence B. Holder, Diane J. Cook
2007	—	`ch.`	Learning from Supervised Graphs. Applied Graph Theory in Computer Vision and Pattern Recognition Joseph T. Potts, Diane J. Cook, Lawrence B. Holder
2007	—	`conf`	Mining for Structural Anomalies in Graph-based Data. DMIN William Eberle, Lawrence B. Holder
2006	J	`jnl`	Advances in Knowledge Acquisition and Representation. Int. J. Artif. Intell. Tools Lawrence B. Holder, Zdravko Markov, Ingrid Russell
2006	—	`conf`	Application of Graph-based Data Mining to Metabolic Pathways. ICDM Workshops Chang Hun You, Lawrence B. Holder, Diane J. Cook
2006	—	`conf`	Building Test Beds for AI with the Q3 Mod Base. AIIDE G. Michael Youngblood, Billy Nolen, Michael Ross, Lawrence B. Holder
2006	C	`conf`	Classification of Threats Via a Multi-sensor Security Portal. ISI Amar Singh, Lawrence B. Holder
2006	C	`conf`	Detecting Anomalies in Cargo Using Graph Properties. ISI William Eberle, Lawrence B. Holder
2006	B	`conf`	Graph Grammar Induction on Structural Data for Visual Programming. ICTAI Keven Ates, Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook, Kang Zhang
2006	A	`conf`	Inference of Node Replacement Recursive Graph Grammars. SDM Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook
2006	J	`jnl`	Structure Discovery in Sequentially-connected Data Streams. Int. J. Artif. Intell. Tools Jeffrey Coble, Diane J. Cook, Lawrence B. Holder
2006	J	`jnl`	The 2005 International Florida Artificial Intelligence Research Society Conference: A Report. AI Mag. Ingrid Russell, Zdravko Markov, Lawrence B. Holder, Diane J. Cook
2005	A*	`conf`	A Learning Architecture for Automating the Intelligent Environment. AAAI G. Michael Youngblood, Diane J. Cook, Lawrence B. Holder
2005	Misc	`conf`	A Serial Partitioning Approach to Scaling Graph-Based Knowledge Discovery. FLAIRS Runu Rathi, Diane J. Cook, Lawrence B. Holder
2005	Misc	`conf`	Automated HPOMDP Construction through Data-mining Techniques in the Intelligent Environment Domain. FLAIRS G. Michael Youngblood, Edwin O. Heierman III, Diane J. Cook, Lawrence B. Holder
2005	A*	`conf`	Automation Intelligence for the Smart Environment. IJCAI G. Michael Youngblood, Edwin O. Heierman III, Lawrence B. Holder, Diane J. Cook
2005	J	`jnl`	Comparison of graph-based and logic-based multi-relational data mining. SIGKDD Explor. Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook
2005	J	`jnl`	Current And Future Trends In Feature Selection And Extraction For Classification Problems. Int. J. Pattern Recognit. Artif. Intell. Lawrence B. Holder, Ingrid Russell, Zdravko Markov, Anthony G. Pipe, Brian Carse
2005	J	`jnl`	Editorial. Int. J. Pattern Recognit. Artif. Intell. Ingrid Russell, Zdravko Markov, Brian Carse, Anthony G. Pipe, Lawrence B. Holder
2005	J	`jnl`	Graph-based Relational Learning with Application to Security. Fundam. Informaticae Lawrence B. Holder, Diane J. Cook, Jeffrey Coble, Maitrayee Mukherjee
2005	J	`jnl`	Iterative Structure Discovery in Graph-Based Data. Int. J. Artif. Intell. Tools Jeffrey Coble, Runu Rathi, Diane J. Cook, Lawrence B. Holder
2005	Misc	`conf`	Learning from Examples in a Single Graph. FLAIRS Joseph T. Potts, Diane J. Cook, Lawrence B. Holder
2005	A*	`conf`	Managing Adaptive Versatile Environments. PerCom G. Michael Youngblood, Lawrence B. Holder, Diane J. Cook
2005	J	`jnl`	Managing Adaptive Versatile environments. Pervasive Mob. Comput. G. Michael Youngblood, Diane J. Cook, Lawrence B. Holder
2005	B	`conf`	Seamlessly engineering a smart environment. SMC G. Michael Youngblood, Diane J. Cook, Lawrence B. Holder
2005	Misc	`conf`	Structure Discovery in Sequentially Connected Data. FLAIRS Jeffrey Coble, Diane J. Cook, Lawrence B. Holder
2004	Misc	`conf`	Agent-based Players for a First-person Entertainment-based Real-time Artificial Environment. FLAIRS G. Michael Youngblood, Lawrence B. Holder
2004	J	`jnl`	Algorithm and Experiments in Testing Planar Graphs for Isomorphism. J. Graph Algorithms Appl. Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook
2004	Misc	`conf`	Attribute-Value Selection Based on Minimum Description Length. IC-AI Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
2004	J	`jnl`	Enhancing computer science education with a wireless intelligent simulation environment. J. Comput. High. Educ. Diane J. Cook, Manfred Huber, Ramesh Yerraballi, Lawrence B. Holder
2004	J	`jnl`	Mdl-based context-free graph grammar induction and applications. Int. J. Artif. Intell. Tools Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
2004	J	`jnl`	Structural web search engine. Int. J. Artif. Intell. Tools Arash Rakhshan, Lawrence B. Holder, Diane J. Cook
2004	Misc	`conf`	Structure Discovery from Sequential Data. FLAIRS Jeffrey Coble, Diane J. Cook, Lawrence B. Holder, Runu Rathi
2003	Misc	`conf`	Evaluating Human-Consistent Behavior in a Real-time First-person Entertainment-based Artificial Environment. FLAIRS G. Michael Youngblood, Lawrence B. Holder
2003	J	`jnl`	Graph-based relational learning: current and future directions. SIGKDD Explor. Lawrence B. Holder, Diane J. Cook
2003	Misc	`conf`	Identifying Inhabitants of an Intelligent Environment Using a Graph-Based Data Mining System. FLAIRS Ritesh Mehta, Diane J. Cook, Lawrence B. Holder
2003	Misc	`conf`	MDL-Based Context-Free Graph Grammar Induction. FLAIRS Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
2003	Misc	`conf`	Structural Web Search Engine. FLAIRS Arash Rakhshan, Lawrence B. Holder, Diane J. Cook
2003	J	`jnl`	Using a Graph-Based Data Mining System to Perform Web Search. Int. J. Pattern Recognit. Artif. Intell. Diane J. Cook, Nitish Manocha, Lawrence B. Holder
2002	Misc	`conf`	Enhancing Structure Discovery for Data Mining in Graphical Databases Using Evolutionary Programming. FLAIRS Sanghamitra Bandyopadhyay, Ujjwal Maulik, Diane J. Cook, Lawrence B. Holder, Yousuf Ajmerwala
2002	B	`conf`	Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems. ILP Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Cook
2002	A*	`conf`	Graph-Based Relational Concept Learning. ICML Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Cook
2001	Misc	`conf`	A Client-Server Interactive Tool for Integrated Artificial Intelligence Curriculum. FLAIRS Diane J. Cook, Lawrence B. Holder
2001	J	`jnl`	A client-server computational tool for integrated artificial intelligence curriculum. J. Comput. High. Educ. Lawrence B. Holder, Diane J. Cook
2001	J	`jnl`	Approaches to Parallel Graph-Based Knowledge Discovery. J. Parallel Distributed Comput. Diane J. Cook, Lawrence B. Holder, Gehad Galal, Ron Maglothin
2001	J	`jnl`	Cover story: structural Web search using a graph-based discovery system. Intell. Nitish Manocha, Diane J. Cook, Lawrence B. Holder
2001	Misc	`conf`	Graph-Based Concept Learning. FLAIRS Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Cook
2001	J	`jnl`	Graph-Based Hierarchical Conceptual Clustering. Int. J. Artif. Intell. Tools Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
2001	J	`jnl`	Graph-Based Hierarchical Conceptual Clustering. J. Mach. Learn. Res. Istvan Jonyer, Diane J. Cook, Lawrence B. Holder
2001	Misc	`conf`	Structural Web Search Using a Graph-Based Discovery System. FLAIRS Nitish Manocha, Diane J. Cook, Lawrence B. Holder
2000	Misc	`conf`	Discovering Structural Patterns in Telecommunications Data. FLAIRS Andi Baritchi, Diane J. Cook, Lawrence B. Holder
2000	—	`conf`	Graph Based Concept Learning. AAAI/IAAI Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Cook
2000	J	`jnl`	Graph-Based Data Mining. IEEE Intell. Syst. Diane J. Cook, Lawrence B. Holder
2000	—	`conf`	Graph-Based Hierarchical Conceptual Clustering in Structural Databases. AAAI/IAAI Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
2000	Misc	`conf`	Graph-Based Hierarchical Conceptual Clustering. FLAIRS Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
2000	Misc	`conf`	Structural Knowledge Discovery Used to Analyze Earthquake Activity. FLAIRS Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Cook
1999	Misc	`conf`	Application of Knowledge Discovery to Molecular Biology: Identifying Structural Regularities in Proteins. Pacific Symposium on Biocomputing Shaobing Su, Diane J. Cook, Lawrence B. Holder
1999	Misc	`conf`	Applying the Subdue Substructure Discovery System to the Chemical Toxicity Domain. FLAIRS Ravindra N. Chittimoori, Lawrence B. Holder, Diane J. Cook
1999	—	`ch.`	Discovering Concepts in Structural Data. Pattern Discovery in Biomolecular Data Diane J. Cook, Lawrence B. Holder, Gehad Galal
1999	J	`jnl`	Experimentation-Driven Knowledge Acquisition for Planning. Comput. Intell. Kang Soo Tae, Diane J. Cook, Lawrence B. Holder
1999	J	`jnl`	Exploiting Parallelism in a Structural Scientific Discovery System to Improve Scalability. J. Am. Soc. Inf. Sci. Gehad Galal, Diane J. Cook, Lawrence B. Holder
1999	J	`jnl`	Knowledge discovery in molecular biology: Identifying structural regularities in proteins. Intell. Data Anal. Shaobing Su, Diane J. Cook, Lawrence B. Holder
1999	—	`conf`	Structural Knowledge Discovery in Chemical and Spatio-Temporal Databases. AAAI/IAAI Ravindra N. Chittimoori, Jesus A. Gonzalez, Lawrence B. Holder
1998	Misc	`conf`	Coupling Two Complementary Knowledge Discovery Systems. FLAIRS Lawrence B. Holder, Diane J. Cook
1998	—	`conf`	Exploiting Parallelism in Knowledge Discovery Systems to Improve Scalability. HICSS (5) Gehad Galal, Diane J. Cook, Lawrence B. Holder
1997	J	`jnl`	An Emprirical Study of Domain Knowledge and Its Benefits to Substructure Discovery. IEEE Trans. Knowl. Data Eng. Surnjani Djoko, Diane J. Cook, Lawrence B. Holder
1997	A*	`conf`	Improving Scalability in a Scientific Discovery System by Exploiting Parallelism. KDD Gehad Galal, Diane J. Cook, Lawrence B. Holder
1996	J	`jnl`	Decision-Theoretic Cooperative Sensor Planning. IEEE Trans. Pattern Anal. Mach. Intell. Diane J. Cook, Piotr J. Gmytrasiewicz, Lawrence B. Holder
1996	J	`jnl`	Scalable Discovery of Informative Structural Concepts Using Domain Knowledge. IEEE Expert Diane J. Cook, Lawrence B. Holder, Surnjani Djoko
1996	—	`conf`	User-Centered System Decomposition: Z-Based Requirements Clustering. ICRE Pei Hsia, Chih-Tung Hsu, David Chenho Kung, Lawrence B. Holder
1995	A*	`conf`	Analyzing the Benefits of Domain Knowledge in Substructure Discovery. KDD Surnjani Djoko, Diane J. Cook, Lawrence B. Holder
1995	A*	`conf`	Intermediate Decision Trees. IJCAI Lawrence B. Holder
1995	J	`jnl`	Knowledge Discovery from Structural Data. J. Intell. Inf. Syst. Diane J. Cook, Lawrence B. Holder, Surnjani Djoko
1994	C	`conf`	An Empirical Approach to Solving the General Utility Problem in Speedup Learning. IEA/AIE Anurag Chaudhry, Lawrence B. Holder
1994	J	`jnl`	Substructure Discovery Using Minimum Description Length and Background Knowledge CoRR Diane J. Cook, Lawrence B. Holder
1994	J	`jnl`	Substructure Discovery Using Minimum Description Length and Background Knowledge. J. Artif. Intell. Res. Diane J. Cook, Lawrence B. Holder
1994	—	`conf`	Substucture Discovery in the SUBDUE System. KDD Workshop Lawrence B. Holder, Diane J. Cook, Surnjani Djoko
1993	J	`jnl`	Discovery of Inexact Concepts from Structural Data. IEEE Trans. Knowl. Data Eng. Lawrence B. Holder, Diane J. Cook
1992	A*	`conf`	Empirical Analysis of the General Utility Problem in Machine Learning. AAAI Lawrence B. Holder
1992	—	`conf`	Fuzzy Substructure Discovery. ML Lawrence B. Holder, Diane J. Cook, Horst Bunke
1991	—	`—`	Maintaining the utility of learned knowledge using model-based adaptive control Lawrence B. Holder
1990	—	`conf`	Accelerated learning on the connection machine. SPDP Diane J. Cook, Lawrence B. Holder
1990	—	`conf`	Application of Machine Learning to the Maintenance of Knowledge-Based Performance. IEA/AIE (Vol. 2) Lawrence B. Holder
1990	—	`conf`	The General Utility Problem in Machine Learning. ML Lawrence B. Holder
1989	—	`conf`	Empirical Substructure Discovery. ML Lawrence B. Holder
1988	A	`conf`	Towards Intelligent Machine Learning Algorithms. ECAI Robert E. Stepp, Bradley L. Whitehall, Lawrence B. Holder