Levelwise Search and Borders of Theories in KnowledgeDiscovery
Data Mining and Knowledge Discovery
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Substructure discovery using minimum description length and background knowledge
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The predictive toxicology evaluation challenge
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Optimized Substructure Discovery for Semi-structured Data
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WAIM '02 Proceedings of the Third International Conference on Advances in Web-Age Information Management
Data Mining as Constraint Logic Programming
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
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
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Meta-analysis of Mutagenes Discovery
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Relational Association Rules: Getting WARMeR
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Demand-Driven Construction of Structural Features in ILP
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
Efficient Mining of Frequent Subgraphs in the Presence of Isomorphism
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
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ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
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ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Unordered Tree Mining with Applications to Phylogeny
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
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ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Knowledge Discovery from Transportation Network Data
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
AMIOT: Induced Ordered Tree Mining in Tree-Structured Databases
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QSIC '05 Proceedings of the Fifth International Conference on Quality Software
Classifying Chemical Compounds Using Contrast and Common Patterns
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Classification of Web Documents Using a Graph-Based Model and Structural Patterns
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
RAM: Randomized Approximate Graph Mining
SSDBM '08 Proceedings of the 20th international conference on Scientific and Statistical Database Management
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ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Mining Intervals of Graphs to Extract Characteristic Reaction Patterns
DS '08 Proceedings of the 11th International Conference on Discovery Science
Top-K Correlation Sub-graph Search in Graph Databases
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
Finding N-Most Prevalent Colocated Event Sets
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Reasoning about designs through frequent patterns mining
Advanced Engineering Informatics
A framework for mining meaningful usage patterns within a semantically enhanced web portal
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Pruthak: mining and analyzing graph substructures
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Semi-supervised feature selection for graph classification
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ACM Transactions on Knowledge Discovery from Data (TKDD)
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Intelligent Data Analysis
Full duplicate candidate pruning for frequent connected subgraph mining
Integrated Computer-Aided Engineering
Sentiment classification using automatically extracted subgraph features
CAAGET '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
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CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Mining networks with shared items
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Efficient algorithms based on relational queries to mine frequent graphs
PIKM '10 Proceedings of the 3rd workshop on Ph.D. students in information and knowledge management
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Transactions on rough sets XII
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Frequent sub-graph mining on edge weighted graphs
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Online structural graph clustering using frequent subgraph mining
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Mining graphs with constraints on symmetry and diameter
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Relational Graph Mining for Learning Events from Video
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ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
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Data Mining and Knowledge Discovery
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GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
Dual active feature and sample selection for graph classification
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LGM: mining frequent subgraphs from linear graphs
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
From connected frequent graphs to unconnected frequent graphs
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Fast graph query processing with a low-cost index
The VLDB Journal — The International Journal on Very Large Data Bases
Re-mining item associations: Methodology and a case study in apparel retailing
Decision Support Systems
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APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Patterns of influence in a recommendation network
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Towards generic pattern mining
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
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PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
EXiT-B: a new approach for extracting maximal frequent subtrees from XML data
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
Extraction of interesting financial information from heterogeneous XML-Based data
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
Obstacles and misunderstandings facing medical data mining
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Mining spatial colocation patterns: a different framework
Data Mining and Knowledge Discovery
Fires on the web: towards efficient exploring historical web graphs
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
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Mining constrained graphs: the case of workflow systems
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Generic pattern mining via data mining template library
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GTRACE2: improving performance using labeled union graphs
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ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
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WISE'06 Proceedings of the 7th international conference on Web Information Systems
WISE'06 Proceedings of the 7th international conference on Web Information Systems
Towards generic pattern mining
ICFCA'05 Proceedings of the Third international conference on Formal Concept Analysis
Frequent temporal social behavior search in information networks
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Learning from graph data by putting graphs on the lattice
Expert Systems with Applications: An International Journal
Graph embedding in vector spaces by node attribute statistics
Pattern Recognition
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IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
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Pattern Recognition Letters
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Nearly exact mining of frequent trees in large networks
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A Pattern Language for Knowledge Discovery in a Semantic Web context
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Social-Based Conceptual Links: Conceptual Analysis Applied to Social Networks
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A direct mining approach to efficient constrained graph pattern discovery
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A multiobjective evolutionary programming framework for graph-based data mining
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Mining frequent correlated graphs with a new measure
Expert Systems with Applications: An International Journal
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Intelligent Data Analysis - Dynamic Networks and Knowledge Discovery
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This paper proposes a novel approach named AGM to efficiently mine the association rules among the frequently appearing substructures in a given graph data set. A graph transaction is represented by an adjacency matrix, and the frequent patterns appearing in the matrices are mined through the extended algorithm of the basket analysis. Its performance has been evaluated for the artificial simulation data and the carcinogenesis data of Oxford University and NTP. Its high efficiency has been confirmed for the size of a real-world problem.