Pattern analysis using event-covering
Pattern analysis using event-covering
Synthesizing knowledge: A cluster analysis approach using event covering
IEEE Transactions on Systems, Man and Cybernetics
An event-covering method for effective probabilistic inference
Pattern Recognition
Synthesizing Statistical Knowledge from Incomplete Mixed-Mode Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Recognition and Shape Synthesis of 3-D Objects Based on Attributed Hypergraphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
APACS: a system for the automatic analysis and classification of conceptual patterns
Computational Intelligence
An architecture for probabilistic concept-based information retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
Logic for Problem Solving
An Information Theoretic Approach to Rule Induction from Databases
IEEE Transactions on Knowledge and Data Engineering
Class-Dependent Discretization for Inductive Learning from Continuous and Mixed-Mode Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning
Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
An Interval Classifier for Database Mining Applications
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Data Mining: the search for knowledge in databases.
Data Mining: the search for knowledge in databases.
Inductive learning in the presence of uncertainty
Inductive learning in the presence of uncertainty
Pattern Discovery by Residual Analysis and Recursive Partitioning
IEEE Transactions on Knowledge and Data Engineering
Data Mining Approach Based on Information-Statistical Analysis: Application to Temporal-Spatial Data
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
From Association to Classification: Inference Using Weight of Evidence
IEEE Transactions on Knowledge and Data Engineering
Information Sciences—Informatics and Computer Science: An International Journal
Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Boosting an Associative Classifier
IEEE Transactions on Knowledge and Data Engineering
Transparent Decision Support Using Statistical Reasoning and Fuzzy Inference
IEEE Transactions on Knowledge and Data Engineering
MS'06 Proceedings of the 17th IASTED international conference on Modelling and simulation
Cost-sensitive boosting for classification of imbalanced data
Pattern Recognition
Multipattern consensus regions in multiple aligned protein sequences and their segmentation
EURASIP Journal on Bioinformatics and Systems Biology
Using association patterns for discrete-valed data clustering
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Analysis of covariations of sequence physicochemical properties
MCBC'07 Proceedings of the 8th Conference on 8th WSEAS Int. Conference on Mathematics and Computers in Biology and Chemistry - Volume 8
Detecting Statistical Covariations of Sequence Physicochemical Properties
BSB '08 Proceedings of the 3rd Brazilian symposium on Bioinformatics: Advances in Bioinformatics and Computational Biology
Pattern discovery for large mixed-mode database
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Discovery of non-induced patterns from sequences
PRIB'10 Proceedings of the 5th IAPR international conference on Pattern recognition in bioinformatics
A dynamic over-sampling procedure based on sensitivity for multi-class problems
Pattern Recognition
Empirical study on weighted voting multiple classifiers
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Parameter inference of cost-sensitive boosting algorithms
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Inferring the association network from p53 sequence alignment using granular evaluations
PRIB'13 Proceedings of the 8th IAPR international conference on Pattern Recognition in Bioinformatics
| Hi-index | 0.00 |
To uncover qualitative and quantitative patterns in a data set is a challenging task for research in the area of machine learning and data analysis. Due to the complexity of real-world data, high-order (polythetic) patterns or event associations, in addition to first-order class-dependent relationships, have to be acquired. Once the patterns of different orders are found, they should be represented in a form appropriate for further analysis and interpretation. In this paper, we propose a novel method to discover qualitative and quantitative patterns (or event associations) inherent in a data set. It uses the adjusted residual analysis in statistics to test the significance of the occurrence of a pattern candidate against its expectation. To avoid exhaustive search of all possible combinations of primary events, techniques of eliminating the impossible pattern candidates are developed. The detected patterns of different orders are then represented in an attributed hypergraph which is lucid for pattern interpretation and analysis. Test results on artificial and real-world data are discussed toward the end of the paper.