The following pages link to Data Mining and Knowledge Discovery (Q69103):
Displaying 50 items.
- Gaussian bandwidth selection for manifold learning and classification (Q2212526) (← links)
- Introducing time series snippets: a new primitive for summarizing long time series (Q2212529) (← links)
- Credible seed identification for large-scale structural network alignment (Q2212530) (← links)
- Challenges in benchmarking stream learning algorithms with real-world data (Q2212534) (← links)
- MIDIA: exploring denoising autoencoders for missing data imputation (Q2212535) (← links)
- Bayesian mean-parameterized nonnegative binary matrix factorization (Q2212539) (← links)
- Estimating sequence similarity from read sets for clustering next-generation sequencing data (Q2218320) (← links)
- Sampling online social networks by random walk with indirect jumps (Q2218321) (← links)
- Domain agnostic online semantic segmentation for multi-dimensional time series (Q2218325) (← links)
- Robust classification of graph-based data (Q2218327) (← links)
- Exact mean computation in dynamic time warping spaces (Q2218328) (← links)
- Multi-target prediction: a unifying view on problems and methods (Q2218329) (← links)
- A tutorial on statistically sound pattern discovery (Q2218330) (← links)
- A review on distance based time series classification (Q2218332) (← links)
- Noise-free latent block model for high dimensional data (Q2218334) (← links)
- Model-free inference of diffusion networks using RKHS embeddings (Q2218337) (← links)
- Algorithms for approximate subtropical matrix factorization (Q2218339) (← links)
- An effective and versatile distance measure for spatiotemporal trajectories (Q2218340) (← links)
- Setting decision thresholds when operating conditions are uncertain (Q2218341) (← links)
- Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data (Q2218343) (← links)
- A new class of metrics for learning on real-valued and structured data (Q2218351) (← links)
- The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models (Q2218353) (← links)
- Subjectively interesting connecting trees and forests (Q2218354) (← links)
- Efficiently mining cohesion-based patterns and rules in event sequences (Q2218356) (← links)
- Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations (Q2218362) (← links)
- FURL: fixed-memory and uncertainty reducing local triangle counting for multigraph streams (Q2218366) (← links)
- Counts-of-counts similarity for prediction and search in relational data (Q2218368) (← links)
- Mining skypatterns in fuzzy tensors (Q2218371) (← links)
- Finding lasting dense subgraphs (Q2218373) (← links)
- Classification with label noise: a Markov chain sampling framework (Q2218376) (← links)
- A unifying view of explicit and implicit feature maps of graph kernels (Q2218378) (← links)
- Efficient mixture model for clustering of sparse high dimensional binary data (Q2218380) (← links)
- More for less: adaptive labeling payments in online labor markets (Q2218383) (← links)
- A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates (Q2218385) (← links)
- Dynamics reconstruction and classification via Koopman features (Q2218387) (← links)
- SAZED: parameter-free domain-agnostic season length estimation in time series data (Q2218390) (← links)
- A unified view of density-based methods for semi-supervised clustering and classification (Q2218392) (← links)
- Attributed network embedding via subspace discovery (Q2218394) (← links)
- A semi-supervised model for knowledge graph embedding (Q2218397) (← links)
- Topical network embedding (Q2218399) (← links)
- Grafting for combinatorial binary model using frequent itemset mining (Q2218401) (← links)
- A comparative study of data-dependent approaches without learning in measuring similarities of data objects (Q2218403) (← links)
- Matching code and law: achieving algorithmic fairness with optimal transport (Q2218406) (← links)
- FastEE: fast ensembles of elastic distances for time series classification (Q2218407) (← links)
- On normalization and algorithm selection for unsupervised outlier detection (Q2218408) (← links)
- SIAS-miner: mining subjectively interesting attributed subgraphs (Q2218410) (← links)
- Mining relaxed functional dependencies from data (Q2218413) (← links)
- Parameterized low-rank binary matrix approximation (Q2218414) (← links)
- Integer programming ensemble of temporal relations classifiers (Q2218417) (← links)
- NegSPan: efficient extraction of negative sequential patterns with embedding constraints (Q2218420) (← links)
