Multirate systems and filter banks
Multirate systems and filter banks
Adaptive blind separation of independent sources: a deflation approach
Signal Processing
Data mining, hypergraph transversals, and machine learning (extended abstract)
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
BOAT—optimistic decision tree construction
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Pruning and summarizing the discovered associations
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-level organization and summarization of the discovered rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient discovery of error-tolerant frequent itemsets in high dimensions
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
RainForest—A Framework for Fast Decision Tree Construction of Large Datasets
Data Mining and Knowledge Discovery
Machine Learning
ECML '93 Proceedings of the European Conference on Machine Learning
SLIQ: A Fast Scalable Classifier for Data Mining
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Mining All Non-derivable Frequent Itemsets
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
SPRINT: A Scalable Parallel Classifier for Data Mining
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
On Computing Condensed Frequent Pattern Bases
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Mining Top.K Frequent Closed Patterns without Minimum Support
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Summarizing itemset patterns: a profile-based approach
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Market basket analysis in a multiple store environment
Decision Support Systems
Critera for direct blind deconvolution of MIMO FIR systems driven by white source signals
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05
Analytical blind channel identification
IEEE Transactions on Signal Processing
An analytical constant modulus algorithm
IEEE Transactions on Signal Processing
Blind separation of synchronous co-channel digital signals using anantenna array. I. Algorithms
IEEE Transactions on Signal Processing
Globally convergent blind source separation based on a multiuser kurtosis maximization criterion
IEEE Transactions on Signal Processing
On factorization of M-channel paraunitary filterbanks
IEEE Transactions on Signal Processing
Blind identification of FIR systems excited by discrete-alphabetinputs
IEEE Transactions on Signal Processing
Blind PARAFAC receivers for DS-CDMA systems
IEEE Transactions on Signal Processing
Blind MIMO System Estimation Based on PARAFAC Decomposition of Higher Order Output Tensors
IEEE Transactions on Signal Processing
Fractionally spaced equalization using CMA: robustness to channelnoise and lack of disparity
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A globally convergent approach for blind MIMO adaptivedeconvolution
IEEE Transactions on Signal Processing
Frequency domain blind MIMO system identification based on second and higher order statistics
IEEE Transactions on Signal Processing
On blind separation of convolutive mixtures of independent linearsignals in unknown additive noise
IEEE Transactions on Signal Processing
RBDT-1: A New Rule-Based Decision Tree Generation Technique
RuleML '09 Proceedings of the 2009 International Symposium on Rule Interchange and Applications
An approach for adaptive associative classification
Expert Systems with Applications: An International Journal
Locality sensitive hashing for sampling-based algorithms in association rule mining
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A GRASP method for building classification trees
Expert Systems with Applications: An International Journal
On Jacobi-type methods for blind equalization of paraunitary channels
Signal Processing
Classification based on association rules: A lattice-based approach
Expert Systems with Applications: An International Journal
Associative classification using a bio-inspired algorithm
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks
Expert Systems with Applications: An International Journal
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In this paper a blind multiple-input/multiple-output (MIMO) space-time equalizer is described, dedicated to convolutive mixtures when observations have been pre-whitened. Filters preserving space-time whiteness are paraunitary; a parameterization of such filters with plane rotations is proposed. Theoretical developments then lead to a numerical algorithm that sweeps all pairs of delayed outputs. This algorithm involves the solution of a polynomial system in two unknowns, whose coefficients depend on the output cumulants. Simulations and performance of the numerical algorithm are reported.