On the complexity of finding emerging patterns
Theoretical Computer Science - Pattern discovery in the post genome
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining minimal distinguishing subsequence patterns with gap constraints
Knowledge and Information Systems
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Jumping emerging patterns with negation in transaction databases - Classification and discovery
Information Sciences: an International Journal
Computational aspects of monotone dualization: A brief survey
Discrete Applied Mathematics
A Novel EPA-KNN Gene Classification Algorithm
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Upper Borders for Emerging Cubes
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Efficient Mining of Jumping Emerging Patterns with Occurrence Counts for Classification
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Efficient Discovery of Top-K Minimal Jumping Emerging Patterns
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Lower bounds for three algorithms for transversal hypergraph generation
Discrete Applied Mathematics
Emerging Cubes: Borders, size estimations and lossless reductions
Information Systems
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Mining Class Contrast Functions by Gene Expression Programming
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Reduced representations of Emerging Cubes for OLAP database mining
International Journal of Business Intelligence and Data Mining
Mining dynamic association rules with comments
Knowledge and Information Systems
Lower bounds for three algorithms for the transversal hypergraph generation
WG'07 Proceedings of the 33rd international conference on Graph-theoretic concepts in computer science
Local projection in jumping emerging patterns discovery in transaction databases
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Adaptive classification with jumping emerging patterns
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Parallel computation of the minimal elements of a poset
Proceedings of the 4th International Workshop on Parallel and Symbolic Computation
Transactions on rough sets XII
Spatial emerging patterns for scene classification
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Extracting semantics in OLAP databases using emerging cubes
Information Sciences: an International Journal
Left-to-Right Multiplication for Monotone Boolean Dualization
SIAM Journal on Computing
Efficient mining of jumping emerging patterns with occurrence counts for classification
Transactions on rough sets XIII
How to apply SAT-solving for the equivalence test of monotone normal forms
SAT'11 Proceedings of the 14th international conference on Theory and application of satisfiability testing
Contrasting correlations by an efficient double-clique condition
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
A framework to mine high-level emerging patterns by attribute-oriented induction
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
Local reducts and jumping emerging patterns in relational databases
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Classification based on specific rules and inexact coverage
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Top-N minimization approach for indicative correlation change mining
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Emerging cubes for trends analysis in OLAP databases
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
| Hi-index | 0.01 |
The mining of changes or differences or other comparative patterns from a pair of datasets is an interesting problem. This paper is focused on the mining of one type of comparative pattern called emerging patterns. Emerging patterns are denoted by EPs and are defined as patterns for which support increases from one dataset to the other with a big ratio. The number of EPs is sometimes huge. To provide a good structure for and to reduce the size of mining results, we use borders to concisely describe large collections of EPs in a lossless way. Such a border consists of only the minimal (under set inclusion) and the maximal EPs in the collection. We also present an algorithm for efficiently computing the borders of some desired EPs by manipulating the input borders only. Our experience with many datasets in the UCI Repository and recent cancer diagnosis datasets demonstrated that: Both the EP pattern type and our algorithm are useful for building accurate classifiers and useful for mining multifactor interactions, for example, minimal gene groups potentially responsible for the development of cancer.