Concept formation in structured domains
Concept formation knowledge and experience in unsupervised learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Efficient top-down induction of logic programs
ACM SIGART Bulletin
Machine Discovery of Protein Motifs
Machine Learning - Special issue on applications in molecular biology
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Bayesian classification (AutoClass): theory and results
Advances in knowledge discovery and data mining
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
An Empirical Study of Domain Knowledge and Its Benefits to Substructure Discovery
IEEE Transactions on Knowledge and Data Engineering
Machine Learning Approaches to Gene Recognition
IEEE Expert: Intelligent Systems and Their Applications
Scalable Discovery of Informative Structural Concepts Using Domain Knowledge
IEEE Expert: Intelligent Systems and Their Applications
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
A data mining-based engineering design support system: a research agenda
Data mining for design and manufacturing
Mining hybrid sequential patterns and sequential rules
Information Systems
Knowledge Discovery from Structured Data by Beam-Wise Graph-Based Induction
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction
DS '02 Proceedings of the 5th International Conference on Discovery Science
SEuS: Structure Extraction Using Summaries
DS '02 Proceedings of the 5th International Conference on Discovery Science
ANF: a fast and scalable tool for data mining in massive graphs
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Graph-based hierarchical conceptual clustering
The Journal of Machine Learning Research
Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Unsupervised Link Discovery in Multi-relational Data via Rarity Analysis
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Link mining: a new data mining challenge
ACM SIGKDD Explorations Newsletter
Graph-based relational learning: current and future directions
ACM SIGKDD Explorations Newsletter
Discovery of temporal patterns from process instances
Computers in Industry - Special issue: Process/workflow mining
Analysis of privacy preserving random perturbation techniques: further explorations
Proceedings of the 2003 ACM workshop on Privacy in the electronic society
eMailSift: mining-based approaches to email classification
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
An Efficient Algorithm for Discovering Frequent Subgraphs
IEEE Transactions on Knowledge and Data Engineering
Frequent Substructure-Based Approaches for Classifying Chemical Compounds
IEEE Transactions on Knowledge and Data Engineering
Finding Frequent Patterns in a Large Sparse Graph*
Data Mining and Knowledge Discovery
eMailSift: Email Classification Based on Structure and Content
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
ACM SIGKDD Explorations Newsletter
ACM SIGKDD Explorations Newsletter
Link mining applications: progress and challenges
ACM SIGKDD Explorations Newsletter
MoSS: a program for molecular substructure mining
Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations
Graph building as a mining activity: finding links in the small
Proceedings of the 3rd international workshop on Link discovery
ACM Transactions on Database Systems (TODS)
Graph-based Relational Learning with Application to Security
Fundamenta Informaticae - Advances in Mining Graphs, Trees and Sequences
Constructing a Decision Tree for Graph-Structured Data and its Applications
Fundamenta Informaticae - Advances in Mining Graphs, Trees and Sequences
XML structural delta mining: issues and challenges
Data & Knowledge Engineering - Special issue: ER 2003
Compression-based data mining of sequential data
Data Mining and Knowledge Discovery
Graph-Based Procedural Abstraction
Proceedings of the International Symposium on Code Generation and Optimization
Knowledge modeling -- State of the art
Integrated Computer-Aided Engineering
Graph-Based Analysis of Human Transfer Learning Using a Game Testbed
IEEE Transactions on Knowledge and Data Engineering
Efficient mining of frequent XML query patterns with repeating-siblings
Information and Software Technology
Inference of node replacement graph grammars
Intelligent Data Analysis
Anomaly detection in data represented as graphs
Intelligent Data Analysis
Mining for offender group detection and story of a police operation
AusDM '07 Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
Comparing Two Models for Terrorist Group Detection: GDM or OGDM?
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
DB-FSG: An SQL-Based Approach for Frequent Subgraph Mining
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Learning patterns in the dynamics of biological networks
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Graph-based approaches to insider threat detection
Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies
Proceedings of the 2005 conference on Multi-Relational Data Mining
HDB-Subdue: A Scalable Approach to Graph Mining
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Extended and discretized formulations for the maximum clique problem
Computers and Operations Research
Extracting common design patterns from a set of solid models
Computer-Aided Design
Applying graph-based anomaly detection approaches to thediscovery of insider threats
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Practical algorithms for subgroup detection in covert networks
International Journal of Business Intelligence and Data Mining
Inferring Graph Grammars by Detecting Overlap in Frequent Subgraphs
International Journal of Applied Mathematics and Computer Science - Special Section: Selected Topics in Biological Cybernetics, Special Editors: Andrzej Kasiński and Filip Ponulak
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Pattern discovery from graph-structured data: a data mining perspective
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Tracking hidden groups using communications
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
Using active modeling in counterterrorism
Active conceptual modeling of learning
Graph grammar representation for collaborative sample-based music creation
Proceedings of the 5th Audio Mostly Conference: A Conference on Interaction with Sound
Analysis of the time evolution of scientograms using the subdue graph mining algorithm
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Multiple ant colony system for substructure discovery
ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
Detecting design pattern using subgraph discovery
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part I
Clique Relaxations in Social Network Analysis: The Maximum k-Plex Problem
Operations Research
A log-linear approach to mining significant graph-relational patterns
Data & Knowledge Engineering
Cliques with maximum/minimum edge neighborhood and neighborhood density
Computers and Operations Research
Computing graph-based lattices from smallest projections
KONT'07/KPP'07 Proceedings of the First international conference on Knowledge processing and data analysis
Using graphs to improve activity prediction in smart environments based on motion sensor data
ICOST'11 Proceedings of the 9th international conference on Toward useful services for elderly and people with disabilities: smart homes and health telematics
Combining link-based and content-based classification method
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part II
Detecting anomalies in graphs with numeric labels
Proceedings of the 20th ACM international conference on Information and knowledge management
Traffic dispersion graph based anomaly detection
Proceedings of the Second Symposium on Information and Communication Technology
Enhanced DB-Subdue: supporting subtle aspects of graph mining using a relational approach
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Graph clustering based on structural similarity of fragments
Proceedings of the 2005 international conference on Federation over the Web
ECML'05 Proceedings of the 16th European conference on Machine Learning
Learning closed sets of labeled graphs for chemical applications
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
Biomonitoring, phylogenetics and anomaly aggregation systems
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Stochastic context-free graph grammars for glycoprotein modelling
CIAA'04 Proceedings of the 9th international conference on Implementation and Application of Automata
Graph-based Relational Learning with Application to Security
Fundamenta Informaticae - Advances in Mining Graphs, Trees and Sequences
Constructing a Decision Tree for Graph-Structured Data and its Applications
Fundamenta Informaticae - Advances in Mining Graphs, Trees and Sequences
An iterative MapReduce approach to frequent subgraph mining in biological datasets
Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
MMM-ACNS'12 Proceedings of the 6th international conference on Mathematical Methods, Models and Architectures for Computer Network Security: computer network security
Inexact subgraph isomorphism in MapReduce
Journal of Parallel and Distributed Computing
Graph-Based Modelling of Concurrent Sequential Patterns
International Journal of Data Warehousing and Mining
Mining irregularities in maritime container itineraries
Proceedings of the Joint EDBT/ICDT 2013 Workshops
Finding the most descriptive substructures in graphs with discrete and numeric labels
NFMCP'12 Proceedings of the First international conference on New Frontiers in Mining Complex Patterns
A multiobjective evolutionary programming framework for graph-based data mining
Information Sciences: an International Journal
OO-FSG: an object-oriented approach to mine frequent subgraphs
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Three-objective subgraph mining using multiobjective evolutionary programming
Journal of Computer and System Sciences
Visual analysis of large-scale network anomalies
IBM Journal of Research and Development
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Using databases represented as graphs, the Subdue system performs two key data-mining techniques: unsupervised pattern discovery and supervised concept learning from examples. Applications to large structural databases demonstrate Subdue's scalability and effectiveness.