Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Fast discovery of association rules
Advances in knowledge discovery and data mining
Database management systems
Targeting the right students using data mining
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Probabilistic query models for transaction data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Infominer: mining surprising periodic patterns
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Scoring the Data Using Association Rules
Applied Intelligence
User-cognizant multidimensional analysis
The VLDB Journal — The International Journal on Very Large Data Bases
Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction Data
IEEE Transactions on Knowledge and Data Engineering
Sequence Modeling with Mixtures of Conditional Maximum Entropy Distributions
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Mining Surprising Periodic Patterns
Data Mining and Knowledge Discovery
Using Datacube Aggregates for Approximate Querying and Deviation Detection
IEEE Transactions on Knowledge and Data Engineering
Induction of compact decision trees for personalized recommendation
Proceedings of the 2006 ACM symposium on Applied computing
Distances between Data Sets Based on Summary Statistics
The Journal of Machine Learning Research
A Fast Feature-Based Method to Detect Unusual Patterns in Multidimensional Datasets
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Motif discovery in physiological datasets: A methodology for inferring predictive elements
ACM Transactions on Knowledge Discovery from Data (TKDD)
A fast randomized method for local density-based outlier detection in high dimensional data
DaWaK'10 Proceedings of the 12th international conference on Data warehousing and knowledge discovery
Probabilistic models for query approximation with large sparse binary data sets
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Predicting mortality in the intensive care using episodes
IWINAC'05 Proceedings of the First international conference on Mechanisms, Symbols, and Models Underlying Cognition: interplay between natural and artificial computation - Volume Part I
| Hi-index | 0.00 |