The following pages link to Data Mining and Knowledge Discovery (Q69103):
Displaying 50 items.
- AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series (Q2238333) (← links)
- Hyperbolic node embedding for temporal networks (Q2238334) (← links)
- TSK-Streams: learning TSK fuzzy systems for regression on data streams (Q2238336) (← links)
- An alternating nonmonotone projected Barzilai-Borwein algorithm of nonnegative factorization of big matrices (Q2238337) (← links)
- Differentially private distance learning in categorical data (Q2238340) (← links)
- Structure learning for relational logistic regression: an ensemble approach (Q2238344) (← links)
- Attention based adversarially regularized learning for network embedding (Q2238348) (← links)
- Selego: robust variate selection for accurate time series forecasting (Q2238352) (← links)
- Link prediction in dynamic networks using random dot product graphs (Q2238354) (← links)
- K-plex cover pooling for graph neural networks (Q2238356) (← links)
- Robust finite mixture regression for heterogeneous targets (Q2287712) (← links)
- Scalable and exact sampling method for probabilistic generative graph models (Q2287714) (← links)
- A kernel-based trend pattern tracking system for portfolio optimization (Q2287718) (← links)
- Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks (Q2287719) (← links)
- Extreme-value-theoretic estimation of local intrinsic dimensionality (Q2287722) (← links)
- Exact variable-length anomaly detection algorithm for univariate and multivariate time series (Q2287723) (← links)
- Solving non-negative matrix factorization by alternating least squares with a modified strategy (Q2377271) (← links)
- Projective clustering ensembles (Q2377272) (← links)
- Dependence maps, a dimensionality reduction with dependence distance for high-dimensional data (Q2377273) (← links)
- Representations for multi-document event clustering (Q2377274) (← links)
- Topic model for analyzing purchase data with price information (Q2377275) (← links)
- Closed and noise-tolerant patterns in \(n\)-ary relations (Q2377278) (← links)
- Guest editor's introduction: special issue of the ECML PKDD 2013 journal track (Q2435682) (← links)
- ABACUS: frequent pattern mining-based community discovery in multidimensional networks (Q2435685) (← links)
- Activity preserving graph simplification (Q2435687) (← links)
- A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies (Q2435689) (← links)
- Growing a list (Q2435691) (← links)
- What distinguish one from its peers in social networks? (Q2435696) (← links)
- Fast sequence segmentation using log-linear models (Q2435697) (← links)
- Guest editors' introduction: special section of selected papers from ECML-PKDD 2012 (Q2435698) (← links)
- An efficiently computable subgraph pattern support measure: counting independent observations (Q2435700) (← links)
- Nearly exact mining of frequent trees in large networks (Q2435702) (← links)
- On constrained spectral clustering and its applications (Q2435704) (← links)
- Hierarchical co-clustering: off-line and incremental approaches (Q2435705) (← links)
- The effect of homogeneity on the computational complexity of combinatorial data anonymization (Q2435706) (← links)
- Training and assessing classification rules with imbalanced data (Q2435707) (← links)
- Generalized Dirichlet priors for naïve Bayesian classifiers with multinomial models in document classification (Q2435708) (← links)
- Anomaly detection in large-scale data stream networks (Q2435710) (← links)
- Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection (Q2435711) (← links)
- A statistical significance testing approach to mining the most informative set of patterns (Q2435712) (← links)
- Ensemble-based noise detection: noise ranking and visual performance evaluation (Q2435714) (← links)
- Adaptive evolutionary clustering (Q2435715) (← links)
- G-Tries: a data structure for storing and finding subgraphs (Q2435716) (← links)
- Conditional ordinal random fields for structured ordinal-valued label prediction (Q2435717) (← links)
- Repeated labeling using multiple noisy labelers (Q2435720) (← links)
- Affinity-driven blog cascade analysis and prediction (Q2435723) (← links)
- Aggregative quantification for regression (Q2435724) (← links)
- Exploiting domain knowledge to detect outliers (Q2435725) (← links)
- Using coarse information for real valued prediction (Q2441816) (← links)
- How to ``alternatize'' a clustering algorithm (Q2441818) (← links)
