yusuke1997/dblp-id-title huggingface dataset:
A visual analytics framework for spatio-temporal analysis and modelling
Symmetry properties and asymmetry evaluation of Bayesian Confirmation Measures
A relative similarity based method for interactive patient risk prediction
Guest editorial: Special issue on mining for health
Regularized nonnegative shared subspace learning
Reducing polarization and increasing diverse navigability in graphs by inserting edges and swapping edge weights
AA-forecast: anomaly-aware forecast for extreme events
Large language models are zero-shot point-of-interest recommenders
Generalized random shapelet forests
Ranking evolution maps for Satellite Image Time Series exploration: application to crustal deformation and environmental monitoring
Using Self-Similarity to Cluster Large Data Sets
Using background knowledge to rank itemsets
Duplicate detection in adverse drug reaction surveillance
Practical joint human-machine exploration of industrial time series using the matrix profile
Time series clustering in linear time complexity
The best privacy defense is a good privacy offense: obfuscating a search engine user's profile
Exploiting link structure for web page genre identification
A single pass algorithm for clustering evolving data streams based on swarm intelligence
DMajor-Application Programming Interface for Database Mining
Domain-level relation extraction for informative taxonomy learning
ptype: probabilistic type inference
Multiple hypergraph convolutional network social recommendation using dual contrastive learning
Sequential Pattern Mining in Multi-Databases via Multiple Alignment
Extending greedy feature selection algorithms to multiple solutions
Invariant time-series factorization
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware
Integer programming ensemble of temporal relations classifiers
Differentially private tree-based redescription mining
Effective interpretable learning for large-scale categorical data
Guest editors' introduction: special issue of selected papers from ECML PKDD 2010
JammyTS: joint attention and memory network for temporal scoping of facts
Federated singular value decomposition for high-dimensional data
On subgroup discovery in numerical domains
Using EmotiBlog to annotate and analyse subjectivity in the new textual genres
FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams
ECM-aware cell-graph mining for bone tissue modeling and classification
Scalable pattern mining with Bayesian networks as background knowledge
Summarizing categorical data by clustering attributes
Time series representation and similarity based on local autopatterns
Advanced Scout: Data Mining and Knowledge Discovery in NBA Data
Discord-based counterfactual explanations for time series classification
PETSC: pattern-based embedding for time series classification
Data Mining for Measuring and Improving the Success of Web Sites
ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers
Community discovery using nonnegative matrix factorization
Proxy-enhanced cross-domain sequential recommendation
K-plex cover pooling for graph neural networks
quant: a minimalist interval method for time series classification
Large language models are few-shot multivariate time series classifiers
Ensemble anomaly detection from multi-resolution trajectory features
Efficiently finding unusual shapes in large image databases
Web usage mining: extracting unexpected periods from web logs
catch22: CAnonical Time-series CHaracteristics - Selected through highly comparative time-series analysis
Data-driven detection of counterpressing in professional football
Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas
Mining Non-Redundant Association Rules
Mining process models with non-free-choice constructs
Handling new users and items: a comparative study of inductive recommenders
Difference embedding for recommender systems
Probabilistic Information Loss Measures in Confidentiality Protection of Continuous Microdata
Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection
Adaptive Fraud Detection
Visualizing dimensionality reduction of systems biology data
More for less: adaptive labeling payments in online labor markets
ColdRoute: effective routing of cold questions in stack exchange sites
A combinatorial multi-armed bandit approach to correlation clustering
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications
Joint leaf-refinement and ensemble pruning through L 1 regularization
Selective harvesting over networks
Improving time series similarity measures by integrating preprocessing steps
Sampling online social networks by random walk with indirect jumps
Robust graph regularized nonnegative matrix factorization for clustering
Social media as author-audience games
Finding density-based subspace clusters in graphs with feature vectors
Natural language techniques supporting decision modelers
Classification of time series by shapelet transformation
Fast projections onto mixed-norm balls with applications
Multi-period classification: learning sequent classes from temporal domains
Guest editorial: special issue on data mining with matrices, graphs and tensors
Detecting virtual concept drift of regressors without ground truth values
Organizing Multiple Data Sources for Developing Intelligent e-Business Portals
Counterfactual inference with latent variable and its application in mental health care
ColluEagle: collusive review spammer detection using Markov random fields
A enhanced fuzzy clustering algorithm for probability density functions and image clustering using Inception Resnet-v2 features
Ensembles of jittered association rule classifiers
Improving constrained pattern mining with first-fail-based heuristics
CID: an efficient complexity-invariant distance for time series
A practical approach to novel class discovery in tabular data
Structural learning of simple staged trees
Deep anomaly detection with partition contrastive learning for tabular data
Efficient and effective community search
The impact of variable ordering on Bayesian network structure learning
BIRCH: A New Data Clustering Algorithm and Its Applications
Detecting and reacting to smart home novelties
LoCoMotif: discovering time-warped motifs in time series
Fitter: post-mining user-preferred co-location patterns interactively
MultiETSC: automated machine learning for early time series classification
Guest editorial: Special issue on data mining for medicine and healthcare
Ada-Context: adaptive context-aware grid-based approach for curation of data streams
Mining closed strict episodes
ContE: contextualized knowledge graph embedding for circular relations
Efficient geometric-based computation of the string subsequence kernel
Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017
Mining relaxed functional dependencies from data
Statistical methods utilizing structural properties of time-evolving networks for event detection
Distance-based outlier queries in data streams: the novel task and algorithms
MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data
Selego: robust variate selection for accurate time series forecasting
Discovering recurring activity in temporal networks
Constrained distance based clustering for time-series: a comparative and experimental study
An efficient exact algorithm for triangle listing in large graphs
Bake off redux: a review and experimental evaluation of recent time series classification algorithms
Scalable Clustering Algorithms with Balancing Constraints
CHAMP: A Prototype for Automated Cellular Churn Prediction
Introduction to data mining for sustainability
Counterfactual explanations and how to find them: literature review and benchmarking
Bias-aware ranking from pairwise comparisons
Visualizing the behavior and some symmetry properties of Bayesian confirmation measures
Using p-values for the comparison of classifiers: pitfalls and alternatives
Modeling the impact of out-of-schema questions in task-oriented dialog systems
CURIE: a cellular automaton for concept drift detection
Mining rooted ordered trees under subtree homeomorphism
Mining spatial colocation patterns: a different framework
Mining communities and their descriptions on attributed graphs: a survey
A general framework for never-ending learning from time series streams
Subspace clustering of high-dimensional data: a predictive approach
A peek into the black box: exploring classifiers by randomization
Multi-label learning with missing and completely unobserved labels
Gaussian bandwidth selection for manifold learning and classification
A methodology for refined evaluation of neural code completion approaches
Fine-grained multi-prompt essay scoring with multi-level disentanglement
Size matters: choosing the most informative set of window lengths for mining patterns in event sequences
Scalable density-based clustering with quality guarantees using random projections
Structured temporal representation in time series classification with ROCKETs and hyperdimensional computing
VPint: value propagation-based spatial interpolation
Gradient-based explanation for non-linear non-parametric dimensionality reduction
Random walk with restart on hypergraphs: fast computation and an application to anomaly detection
MERLIN++: parameter-free discovery of time series anomalies
A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes
Multi-neighbor social recommendation with attentional graph convolutional network
Correction to: Streaming changepoint detection for transition matrices
Cartogram visualization for nonlinear manifold learning models
FRAPP: a framework for high-accuracy privacy-preserving mining
Classification of multi class dataset using wavelet power spectrum
Smoothed dilated convolutions for improved dense prediction
Feature Construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity Aided by Structural Attributes
Recommending the right academic programs: an interest mining approach using BERTopic
Improving position encoding of transformers for multivariate time series classification
Unsupervised interaction-preserving discretization of multivariate data
Reducing uncertainty of dynamic heterogeneous information networks: a fusing reconstructing approach
An alternative for data visualization using space-filling curve
CrossClus: user-guided multi-relational clustering
Accelerated EM-based clustering of large data sets
Tree pattern expression for extracting information from syntactically parsed text corpora
Cubegrades: Generalizing Association Rules
Enhancing aggregation phase of microaggregation methods for interval disclosure risk minimization
Explainable decomposition of nested dense subgraphs
Adversarial classification using signaling games with an application to phishing detection
Greener aviation with virtual sensors: a case study
An integrated, generic approach to pattern mining: data mining template library
Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data
Activity recognition in beach volleyball using a Deep Convolutional Neural Network - Leveraging the potential of Deep Learning in sports
TBM, a transformation based method for microaggregation of large volume mixed data
The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers
A Taxonomy of Dirty Data
A hyperbolic approach for learning communities on graphs
Mining significant association rules from uncertain data
Detection and evaluation of clusters within sequential data
Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling
Flexible decision tree for data stream classification in the presence of concept change, noise and missing values
Scalable time series classification
Multi-target prediction: a unifying view on problems and methods
Web robot detection techniques: overview and limitations
User preference and embedding learning with implicit feedback for recommender systems
ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows
Spatiotemporal attention-based real-time video watermarking
Discovery of Frequent DATALOG Patterns
Community detection in Social Media - Performance and application considerations
Detecting Group Differences: Mining Contrast Sets
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
Dynamics reconstruction and classification via Koopman features
Predictive modeling of infant mortality
Shapley values for cluster importance
Structure learning for relational logistic regression: an ensemble approach
CSCN: an efficient snapshot ensemble learning based sparse transformer model for long-range spatial-temporal traffic flow prediction
Group recommender system for store product placement
Learning in parallel universes
Cluster ensemble selection based on relative validity indexes
Krimp: mining itemsets that compress
Guest Editors' Introduction: Special issue of Selected Papers from ECML PKDD 2008
Flexible constrained sampling with guarantees for pattern mining
Multi-view metro station clustering based on passenger flows: a functional data-edged network community detection approach
Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification
A semi-supervised model for knowledge graph embedding
Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation
Accelerating the discovery of unsupervised-shapelets
Towards more sustainable and trustworthy reporting in machine learning
Association Models for Web Mining
Hypergraph Models and Algorithms for Data-Pattern-Based Clustering
HyEED: embedding learning of knowledge graphs with entity description in hyperbolic space
An Erratum on "Pushing Convertible Constraints in Frequent Itemset Mining"
E-Commerce Recommendation Applications
SICA: subjectively interesting component analysis
Interpretability, personalization and reliability of a machine learning based clinical decision support system
Towards automated self-supervised learning for truly unsupervised graph anomaly detection
Growing a list
Fast density-weighted low-rank approximation spectral clustering
Relation prediction based on the attention-enhanced fusion of graph strcuture and multi-hop neighborhood information in knowledge graphs
On mining latent treatment patterns from electronic medical records
Controlling hallucinations at word level in data-to-text generation
Expert-Driven Validation of Rule-Based User Models in Personalization Applications
Interesting pattern mining in multi-relational data
G-Tries: a data structure for storing and finding subgraphs
Collusion set detection using graph clustering
Benchmarking and survey of explanation methods for black box models
Evaluation of ordinal attributes at value level
Bursty and Hierarchical Structure in Streams
Contextual bandits with hidden contexts: a focused data capture from social media streams
Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams
Lost in the Forest: Encoding categorical variables and the absent levels problem
Efficient mining of understandable patterns from multivariate interval time series
Treant: training evasion-aware decision trees
A Fast Parallel Clustering Algorithm for Large Spatial Databases
SPEck: mining statistically-significant sequential patterns efficiently with exact sampling
TenGAN: adversarially generating multiplex tensor graphs
Entropy on covers
Inductive influence estimation and maximization over unseen social networks under two diffusion models
Inferring tie strength in temporal networks
Exploring potential biases towards blockbuster items in ranking-based recommendations
Automated Remote Sensing with Near Infrared Reflectance Spectra: Carbonate Recognition
Stable graph based decision route explanation in siamese neural networks
Optimizing network robustness by edge rewiring: a general framework
Characterizing concept drift
Mining frequent itemsets over distributed data streams by continuously maintaining a global synopsis
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions
Classification-driven temporal discretization of multivariate time series
Exceptional Model Mining - Supervised descriptive local pattern mining with complex target concepts
Support measures for graph data
Automatically countering imbalance and its empirical relationship to cost
Model-based and actual independence for fairness-aware classification
Learning a consensus sub-network with polarization regularization and one pass training
Generalizing DTW to the multi-dimensional case requires an adaptive approach
Mining Pareto-optimal counterfactual antecedents with a branch-and-bound model-agnostic algorithm
Generative modeling of repositories of health records for predictive tasks
Automating mixture model fitting of task durations for process conformance checking
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams
More than modelling and hiding: towards a comprehensive view of Web mining and privacy
Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction
Tracing Evolving Subspace Clusters in Temporal Climate Data
Maximum entropy models and subjective interestingness: an application to tiles in binary databases
Social regularized von Mises-Fisher mixture model for item recommendation
Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data
Representations for multi-document event clustering
Continuous treatment effect estimation via generative adversarial de-confounding
Evaluating outlier probabilities: assessing sharpness, refinement, and calibration using stratified and weighted measures
iDiff: Informative Summarization of Differences in Multidimensional Aggregates
A regularized graph layout framework for dynamic network visualization
Guest Editorial - Special Issue on Data Mining for Geosciences
Explainable and interpretable machine learning and data mining
ROhAN: Row-order agnostic null models for statistically-sound knowledge discovery
SMILE: a feature-based temporal abstraction framework for event-interval sequence classification
Active learning for hierarchical multi-label classification
Learning sequential classifiers from long and noisy discrete-event sequences efficiently
Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering
Adversarial balancing-based representation learning for causal effect inference with observational data
Cluster Detection in Databases: The Adaptive Matched Filter Algorithm and Implementation
Simplification of genetic programs: a literature survey
A Study of Two Sampling Methods for Analyzing Large Datasets with ILP
Mining spatio-temporal patterns in object mobility databases
Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning
Classy: fast clustering streams of call-graphs
Discovering bands from graphs
Forecast evaluation for data scientists: common pitfalls and best practices
Differential prioritization in feature selection and classifier aggregation for multiclass microarray datasets
Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches
Preserving the Confidentiality of Categorical Statistical Data Bases When Releasing Information for Association Rules
Mixed-membership naive Bayes models
Hydra: competing convolutional kernels for fast and accurate time series classification
Delayed labelling evaluation for data streams
Community detection via heterogeneous interaction analysis
Coupled block diagonal regularization for multi-view subspace clustering
Mining local and tail dependence structures based on pointwise mutual information
Diverse subgroup set discovery
Summarizing numeric spatial data streams by trend cluster discovery
Algorithmic fairness datasets: the story so far
Syntheval: a framework for detailed utility and privacy evaluation of tabular synthetic data
Fast, accurate and explainable time series classification through randomization
Efficient temporal mining of micro-blog texts and its application to event discovery
Deep graph embedding learning based on multi-variational graph autoencoders for POI recommendation
Compression-based data mining of sequential data
WaveLSea: helping experts interactively explore pattern mining search spaces
A Subsequence Matching Algorithm that Supports Normalization Transform in Time-Series Databases
Temporal-Aware bicomplex embeddings with implicit attention for knowledge graph link prediction
FiSH: fair spatial hot spots
Time series clustering with random convolutional kernels
Deterministic Generative Models for Fast Feature Discovery
Learning to hash: forgiving hash functions and applications
i SAX: disk-aware mining and indexing of massive time series datasets
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for epidemic forecasting
A framework for condensation-based anonymization of string data
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
Correction: TSelect: selecting relevant and non-redundant channels for multivariate time series classification
Ensembles of label noise filters: a ranking approach
Interpretable representations in explainable AI: from theory to practice
Interpretation of text patterns
Introduction to the special issue of the ECML PKDD 2020 journal track
Multi-location visibility query processing using portion-based transactional modeling and pattern mining
Preserving worker privacy in crowdsourcing
Unsupervised group matching with application to cross-lingual topic matching without alignment information
Differentially Private Distance Learning in Categorical Data
Fast schemes for online record linkage
Model-based exception mining for object-relational data
Steering the LoCoMotif: Using domain knowledge in time series motif discovery
Fusing structural information with knowledge enhanced text representation for knowledge graph completion
Assessing the quality of multilevel graph clustering
Erratum to: Unsupervised interaction-preserving discretization of multivariate data
Actively learning to infer social ties
Sequential recommendation with metric models based on frequent sequences
Maximizing classifier utility when there are data acquisition and modeling costs
Fastere: a fast framework for entity relation extractions
Adaptive Bernstein change detector for high-dimensional data streams
Discovery of Frequent Episodes in Event Sequences
Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series
Partitioning Nominal Attributes in Decision Trees
On detecting maximal quasi antagonistic communities in signed graphs
The PRIMPING routine - Tiling through proximal alternating linearized minimization
Discovery of extreme events-related communities in contrasting groups of physical system networks
A weighted voting summarization of SOM ensembles
Scalable influence maximization for independent cascade model in large-scale social networks
Topic change point detection using a mixed Bayesian model
Guest Editors' Introduction: special issue of selected papers from ECML PKDD 2011
Levelwise Search and Borders of Theories in Knowledge Discovery
A Markov Game model for valuing actions, locations, and team performance in ice hockey
Graph convolutional networks for traffic forecasting with missing values
A Mathematical Morphology Based Scale Space Method for the Mining of Linear Features in Geographic Data
Outlier detection special issue
The area under the ROC curve as a measure of clustering quality
Sequential network change detection with its applications to ad impact relation analysis
Solving large p -median clustering problems by primal-dual variable neighborhood search