Communications of the ACM
Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
Knowledge acquisition for expert systems
Knowledge acquisition for expert systems
Induction of inference rules for expert systems
Fuzzy Sets and Systems - Special issue: Dedicated to the memory of Richard E. Bellman
Principles and practice of information theory
Principles and practice of information theory
Synthesizing Statistical Knowledge from Incomplete Mixed-Mode Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inferring decision trees using the minimum description length principle
Information and Computation
Decision tree design using information theory
Knowledge Acquisition
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Inductive Inference: Theory and Methods
ACM Computing Surveys (CSUR)
Machine Learning
Machine Learning
Machine Learning
Concept acquisition through representational adjustment
Concept acquisition through representational adjustment
Efficiently mining long patterns from databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Using conjunction of attribute values for classification
Proceedings of the eleventh international conference on Information and knowledge management
A Survey of Methods for Scaling Up Inductive Algorithms
Data Mining and Knowledge Discovery
Constraint-Based Rule Mining in Large, Dense Databases
Data Mining and Knowledge Discovery
A New Probabilistic Induction Method
Journal of Automated Reasoning
Constructing Efficient Belief Network Structures With Expert Provided Information
IEEE Transactions on Knowledge and Data Engineering
R-MINI: An Iterative Approach for Generating Minimal Rules from Examples
IEEE Transactions on Knowledge and Data Engineering
High-Order Pattern Discovery from Discrete-Valued Data
IEEE Transactions on Knowledge and Data Engineering
Toward Multidatabase Mining: Identifying Relevant Databases
IEEE Transactions on Knowledge and Data Engineering
A Survey of Temporal Knowledge Discovery Paradigms and Methods
IEEE Transactions on Knowledge and Data Engineering
Learning Texture Discrimination Rules in a Multiresolution System
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unified Algorithm for Undirected Discovery of Execption Rules
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Building Hierarchical Classifiers Using Class Proximity
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Modeling KDD Processes within the Inductive Database Framework
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Prediction Rule Discovery Based on Dynamic Bias Selection
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
User-Defined Association Mining
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
In Pursuit of Interesting Patterns with Undirected Discovery of Exception Rules
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Scheduled Discovery of Exception Rules
DS '99 Proceedings of the Second International Conference on Discovery Science
Meta-analysis of Mutagenes Discovery
DS '01 Proceedings of the 4th International Conference on Discovery Science
Worst-Case Analysis of Rule Discovery
DS '01 Proceedings of the 4th International Conference on Discovery Science
Structure-Sweetness Relationships of Aspartame Derivatives by GUHA
DS '02 Proceedings of the 5th International Conference on Discovery Science
Discovery of Core Episodes from Sequences
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
Modelling and Incorporating Background Knowledge in the Web Mining Process
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
Constraint-Based Discovery and Inductive Queries: Application to Association Rule Mining
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
Data mining tasks and methods: Subgroup discovery: deviation analysis
Handbook of data mining and knowledge discovery
Data mining tasks and methods: scalability
Handbook of data mining and knowledge discovery
Domain knowledge to support the discovery process: constraints
Handbook of data mining and knowledge discovery
A query-driven interesting rule discovery using associations and spanning operations
Data mining, rough sets and granular computing
A Compact and Accurate Model for Classification
IEEE Transactions on Knowledge and Data Engineering
Visualizing constraint-based temporal association rules
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors
User Modeling and User-Adapted Interaction
Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Using Information-Theoretic Measures to Assess Association Rule Interestingness
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Efficient rule discovery in a geo-spatial decision support system
dg.o '02 Proceedings of the 2002 annual national conference on Digital government research
Clustering web images using association rules, interestingness measures, and hypergraph partitions
ICWE '06 Proceedings of the 6th international conference on Web engineering
A dynamic ontology for a dynamic reference work
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Optimization of association rule mining queries
Intelligent Data Analysis
Statistical mining of interesting association rules
Statistics and Computing
Optimistic pruning for multiple instance learning
Pattern Recognition Letters
MMACTEE'08 Proceedings of the 10th WSEAS International Conference on Mathematical Methods and Computational Techniques in Electrical Engineering
Technology extraction from time series data reflecting expert operator skills and knowledge
International Journal of Computer Applications in Technology
Technology Extraction of Expert Operator Skills from Process Time Series Data
Learning Classifier Systems
Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Discovering Temporal Knowledge from a Crisscross of Timed Observations
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Compression-Based Measures for Mining Interesting Rules
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
A comprehensive survey of numeric and symbolic outlier mining techniques
Intelligent Data Analysis
OPUS: an efficient admissible algorithm for unordered search
Journal of Artificial Intelligence Research
Association rule mining in multiple, multidimensional time series medical data
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Criteria to evaluate approximate belief network representations in expert systems
Decision Support Systems
Mining models of exceptional objects through rule learning
Proceedings of the 2010 ACM Symposium on Applied Computing
Classification based on the trace of variables over time
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Association rule mining: models and algorithms
Association rule mining: models and algorithms
Yet another approach for completing missing values
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
An intelligent decision-support model using FSOM and rule extraction for crime prevention
Expert Systems with Applications: An International Journal
Proposed interestingness measure for characteristic rules
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Ad hoc attribute-value prediction
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
The attribute selection problem in decision tree generation
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
An evaluation of heuristics for rule ranking
Artificial Intelligence in Medicine
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Finding temporal patterns using constraints on (partial) absence, presence and duration
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Improving induction decision trees with parallel genetic programming
EUROMICRO-PDP'02 Proceedings of the 10th Euromicro conference on Parallel, distributed and network-based processing
An information theoretic approach for privacy metrics
Transactions on Data Privacy
MulO-AntMiner: a new ant colony algorithm for the multi-objective classification problem
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part II
Protecting privacy of sensitive value distributions in data release
STM'10 Proceedings of the 6th international conference on Security and trust management
Detecting, validating and characterizing computer infections in the wild
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
Undirected exception rule discovery as local pattern detection
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
Jmax-pruning: A facility for the information theoretic pruning of modular classification rules
Knowledge-Based Systems
Subnetwork state functions define dysregulated subnetworks in cancer
RECOMB'10 Proceedings of the 14th Annual international conference on Research in Computational Molecular Biology
Mining semantic structures in movies
INAP'04/WLP'04 Proceedings of the 15th international conference on Applications of Declarative Programming and Knowledge Management, and 18th international conference on Workshop on Logic Programming
A bayesian scoring technique for mining predictive and non-spurious rules
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Artificial Intelligence in Medicine
Modeling and preventing inferences from sensitive value distributions in data release
Journal of Computer Security - STM'10
Behavior-based clustering and analysis of interestingness measures for association rule mining
Data Mining and Knowledge Discovery
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An algorithm for the induction of rules from examples is introduced. The algorithm is novel in the sense that it not only learns rules for a given concept (classification), but it simultaneously learns rules relating multiple concepts. This type of learning, known as generalized rule induction, is considerably more general than existing algorithms, which tend to be classification oriented. Initially, it is focused on the problem of determining a quantitative, well-defined rule preference measure. In particular, a quantity called the J-measure is proposed as an information-theoretic alternative to existing approaches. The J-measure quantifies the information content of a rule or a hypothesis. The information theoretic origins of this measure are outlined, and its plausibility as a hypothesis preference measure is examined. The ITRULE algorithm, which uses the measure to learn a set of optimal rules from a set of data samples, is defined. Experimental results on real-world data are analyzed.