yusuke1997/dblp-id-title huggingface dataset:
Regularized impurity reduction: accurate decision trees with complexity guarantees
On computing exact means of time series using the move-split-merge metric
Lagrangian relaxations for multiple network alignment
Visual Data Mining In Atmospheric Science Data
Incremental Maintenance on the Border of the Space of Emerging Patterns
Joint dynamic topic model for recognition of lead-lag relationship in two text corpora
Distilcyphergpt: enhancing large language models for knowledge graph question answering in cypher through knowledge distillation
Simultaneous classification and community detection on heterogeneous network data
Semi-supervised projected model-based clustering
Mining full, inner and tail periodic patterns with perfect, imperfect and asynchronous periodicity simultaneously
Chebyshev approaches for imbalanced data streams regression models
MrTF: model refinery for transductive federated learning
A Unifying View on Instance Selection
Skopus: Mining top-k sequential patterns under leverage
Statistical Themes and Lessons for Data Mining
Discovering episodes with compact minimal windows
A Framework for Evaluating Privacy Preserving Data Mining Algorithms
Temporal pattern discovery in longitudinal electronic patient records
Generic visual analysis for multi- and hyperspectral image data
Data mining from a patient safety database: the lessons learned
A fast and effective method to find correlations among attributes in databases
Controlled experiments on the web: survey and practical guide
Reliable early classification of time series based on discriminating the classes over time
Approximating the crowd
Identifying the components
A dynamic bibliometric model for identifying online communities
Publishing anonymous survey rating data
An external stability audit framework to test the validity of personality prediction in AI hiring
DHCC: Divisive hierarchical clustering of categorical data
Cluster validity functions for categorical data: a solution-space perspective
Classification trees and decision-analytic feedforward control: a case study from the video game industry
Dependence maps, a dimensionality reduction with dependence distance for high-dimensional data
Preface: Intelligent interactive data visualization
General factorization framework for context-aware recommendations
An exemplar-based clustering using efficient variational message passing
A space efficient solution to the frequent string mining problem for many databases
Data mining with Temporal Abstractions: learning rules from time series
Time series shapelets: a novel technique that allows accurate, interpretable and fast classification
Halo World: Tools for Parallel Cluster Finding in Astrophysical N-body Simulations
Wrangling messy CSV files by detecting row and type patterns
ClusPath: a temporal-driven clustering to infer typical evolution paths
Efficient binary embedding of categorical data using BinSketch
Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions
Two topographic maps for data visualisation
Sequence classification via large margin hidden Markov models
Clustering daily patterns of human activities in the city
Efficient prediction algorithms for binary decomposition techniques
Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction
Correction to: Studying bias in visual features through the lens of optimal transport
Hyperclique pattern discovery
Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions
MassExodus: modeling evolving networks in harsh environments
XEM: An explainable-by-design ensemble method for multivariate time series classification
Analyzing concept drift and shift from sample data
Sequential pattern detection: similarities and differences across various fields
Detecting and ordering salient regions
Mining outlying aspects on numeric data
TS-CHIEF: a scalable and accurate forest algorithm for time series classification
A review on distance based time series classification
Retrieving geometric information from images: the case of hand-drawn diagrams
Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network
Trace alignment algorithm optimization
Cost-sensitive ensemble learning: a unifying framework
Aggregative quantification for regression
A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction
Generalization of clustering agreements and distances for overlapping clusters and network communities
Computing LTS Regression for Large Data Sets
Support Vector Machines and the Bayes Rule in Classification
Hierarchical visual event pattern mining and its applications
Word-class embeddings for multiclass text classification
Data mining and knowledge discovery 1996 to 2005: overcoming the hype and moving from "university" to "business" and "analytics"
Fair-by-design matching
Feature selection for high-dimensional imbalanced class datasets using Harmony Search and Kullback-Leibler divergence
The effect of homogeneity on the computational complexity of combinatorial data anonymization
Parameterizing the cost function of dynamic time warping with application to time series classification
A Model-Based Frequency Constraint for Mining Associations from Transaction Data
Residual projection for quantile regression in vertically partitioned big data
A Bit Level Representation for Time Series Data Mining with Shape Based Similarity
Maximal exceptions with minimal descriptions
Forming coordinated teams that balance task coverage and expert workload
Recency-based sequential pattern mining in multiple event sequences
Adequate condensed representations of patterns
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification
Mining for trigger events with survival analysis
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
On regime changes in text data using hidden Markov model of contaminated vMF distribution
Free-Sets: A Condensed Representation of Boolean Data for the Approximation of Frequency Queries
ABBA: adaptive Brownian bridge-based symbolic aggregation of time series
FURIA: an algorithm for unordered fuzzy rule induction
Active exploration for large graphs
A survey of community detection methods in multilayer networks
Dynamic cyber risk estimation with competitive quantile autoregression
Closed and noise-tolerant patterns in n-ary relations
Data Mining for Inventory Item Selection with Cross-Selling Considerations
Informix under CONTROL: Online Query Processing
Modeling user interests from web browsing activities
MIDIA: exploring denoising autoencoders for missing data imputation
A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering
Detecting cooperative and organized spammer groups in micro-blogging community
Using metarules to organize and group discovered association rules
ClaSP: parameter-free time series segmentation
Using Site Semantics to Analyze, Visualize, and Support Navigation
Scalable attack on graph data by injecting vicious nodes
SIAS-miner: mining subjectively interesting attributed subgraphs
Introducing the contrast profile: a novel time series primitive that allows real world classification
Subjectively interesting connecting trees and forests
Ensemble-based noise detection: noise ranking and visual performance evaluation
Tractable probabilistic models and computational complexity
MixedTrails: Bayesian hypothesis comparison on heterogeneous sequential data
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy
Addressing the cold-start problem in location recommendation using geo-social correlations
Linear regression for uplift modeling
Towards effective urban region-of-interest demand modeling via graph representation learning
Bounding the family-wise error rate in local causal discovery using Rademacher averages
Bayesian Networks for Data Mining
Beyond Market Baskets: Generalizing Association Rules to Dependence Rules
Scalable and exact sampling method for probabilistic generative graph models
ARL: analogical reinforcement learning for knowledge graph reasoning
Sports analytics for professional speed skating
A global optimization method for semi-supervised clustering
Making individually fair predictions with causal pathways
Hierarchical document clustering using local patterns
Estimating the risk of fire outbreaks in the natural environment
Efficient Mining of Frequent Patterns Using Ascending Frequency Ordered Prefix-Tree
Reciprocity in directed hypergraphs: measures, findings, and generators
TEAGS: time-aware text embedding approach to generate subgraphs
Confidence bands for time series data
Series2vec: similarity-based self-supervised representation learning for time series classification
Feature extraction from unequal length heterogeneous EHR time series via dynamic time warping and tensor decomposition
DOMpro: Protein Domain Prediction Using Profiles, Secondary Structure, Relative Solvent Accessibility, and Recursive Neural Networks
VEM 2 L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion
Privacy-preserving boosting
An overlap sensitive neural network for class imbalanced data
Projective clustering ensembles
Brief Application Description. Neural Networks Based Forecasting Techniques for Inventory Control Applications
Descriptive matrix factorization for sustainability Adopting the principle of opposites
Tree-Traversing Ant Algorithm for term clustering based on featureless similarities
Identifying consistent statements about numerical data with dispersion-corrected subgroup discovery
Generalized Gini Correlation and its Application in Data-Mining
Identifying correlated heavy-hitters in a two-dimensional data stream
MINAS: multiclass learning algorithm for novelty detection in data streams
The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models
Provable randomized rounding for minimum-similarity diversification
Do your friends make you buy this brand? - Modeling social recommendation with topics and brands
FitMine: automatic mining for time-evolving signals of cardiotocography monitoring
What's in a name? - gender classification of names with character based machine learning models
Fast analytical methods for finding significant labeled graph motifs
Two-way analysis of high-dimensional collinear data
Correction: FRAPPE: fast rank approximation with explainable features for tensors
A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies
Fast sequence segmentation using log-linear models
Learning model trees from evolving data streams
A Simple Constraint-Based Algorithm for Efficiently Mining Observational Databases for Causal Relationships
MasterMovelets: discovering heterogeneous movelets for multiple aspect trajectory classification
Robust explainer recommendation for time series classification
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions
Solving non-negative matrix factorization by alternating least squares with a modified strategy
Sequential Activity Profiling: Latent Dirichlet Allocation of Markov Chains
Improving the core resilience of real-world hypergraphs
SONIC: streaming overlapping community detection
Incremental sequence-based frequent query pattern mining from XML queries
A distributed approach for graph mining in massive networks
Signature-Based Methods for Data Streams
Assessing the impact of a health intervention via user-generated Internet content
Pushing Convertible Constraints in Frequent Itemset Mining
Neural content-aware collaborative filtering for cold-start music recommendation
InceptionTime: Finding AlexNet for time series classification
Indexing demand response potential at multiple temporal granularity using network theory based analysis
Taxonomy-driven lumping for sequence mining
Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent dirichlet allocation
Alternative prior assumptions for improving the performance of naïve Bayesian classifiers
A framework for deep constrained clustering
Greatmeta: gradient-aware adaptive meta-learning for cold-start recommendations
Automatic discovery of adverse reactions through Chinese social media
GA-TVRC-Het: genetic algorithm enhanced time varying relational classifier for evolving heterogeneous networks
On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms
Locality adaptive incomplete multi-view subspace clustering
Datasets, tasks, and training methods for large-scale hypergraph learning
Erratum to: A link mining algorithm for earnings forecast and trading
The minimum description length principle for pattern mining: a survey
Exemplar learning for extremely efficient anomaly detection in real-valued time series
A regional representation method based on modeling bidirectional interrelationships between pairwise POI categories
FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection
Exploring variable-length time series motifs in one hundred million length scale
The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code
Revealing the structural behaviour of Brunelleschi's Dome with machine learning techniques
Discovering injective episodes with general partial orders
A Distributed Algorithm for Content Based Indexing of Images by Projections on Ritz Primary Images
Explaining deep convolutional models by measuring the influence of interpretable features in image classification
Extreme-value-theoretic estimation of local intrinsic dimensionality
Analysis of Pattern Discovery in Sequences Using a Bayes Error Framework
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding
Projection approaches to process mining using region-based techniques
Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation
Sky-signatures: detecting and characterizing recurrent behavior in sequential data
A semi-supervised interactive algorithm for change point detection
A Scalable Parallel Algorithm for Self-Organizing Maps with Applications to Sparse Data Mining Problems
ConvMOS: climate model output statistics with deep learning
Correlating burst events on streaming stock market data
Clustering categorical data in projected spaces
Hamming encoder: mining discriminative k-mers for discrete sequence classification
Tree Structures for Mining Association Rules
On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach
Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning
Sourcerer: mining and searching internet-scale software repositories
Personalised meta-path generation for heterogeneous graph neural networks
Classification of high-dimensional evolving data streams via a resource-efficient online ensemble
Infinite ensemble clustering
A systematic approach to the assessment of fuzzy association rules
Online transfer learning framework for label scarcity in evolving data streams
A recursive search algorithm for statistical disclosure assessment
On constrained spectral clustering and its applications
To tune or not to tune: rule evaluation for metaheuristic-based sequential covering algorithms
Harnessing the strengths of anytime algorithms for constant data streams
NICE: an algorithm for nearest instance counterfactual explanations
On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
An Extension to SQL for Mining Association Rules
Data Squashing by Empirical Likelihood
Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing
Large-scale network motif analysis using compression
Pseudoinverse graph convolutional networks
Using Linked Micromap Plots to Characterize Omernik Ecoregions
DualMiner: A Dual-Pruning Algorithm for Itemsets with Constraints
Characteristic-Based Clustering for Time Series Data
Social explorative attention based recommendation for content distribution platforms
Scaling Up Inductive Logic Programming by Learning from Interpretations
Outlying property detection with numerical attributes
GeoRF: a geospatial random forest
Sparse randomized shortest paths routing with Tsallis divergence regularization
TSRF-Dist: a novel time series distance based on extremely randomized canonical interval forests
Challenges in benchmarking stream learning algorithms with real-world data
Constrained elastic net based knowledge transfer for healthcare information exchange
Functional classwise principal component analysis: a classification framework for functional data analysis
Topic-aware influence maximization with deep reinforcement learning and graph attention networks
Dataset2Vec: learning dataset meta-features
Ranking with submodular functions on a budget
Classifier evaluation and attribute selection against active adversaries
Fast computation of Katz index for efficient processing of link prediction queries
MIRACLE: Malware image recognition and classification by layered extraction
Using dynamic time warping distances as features for improved time series classification
Reflective-net: learning from explanations
Algorithms for approximate subtropical matrix factorization
Certifying robustness of graph convolutional networks for node perturbation with polyhedra abstract interpretation
Subsea: an efficient heuristic algorithm for subgraph isomorphism
NegPSpan: efficient extraction of negative sequential patterns with embedding constraints
Archetypoid analysis for sports analytics
A framework for dissimilarity-based partitioning clustering of categorical time series
Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback
Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications
Deep multi-task learning for individuals origin-destination matrices estimation from census data
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Making clusterings fairer by post-processing: algorithms, complexity results and experiments
Evidence-based uncertainty sampling for active learning
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach
Experiencing SAX: a novel symbolic representation of time series
Guest editorial: Special issue on sports analytics
Somtimes: self organizing maps for time series clustering and its application to serious illness conversations
Counting frequent patterns in large labeled graphs: a hypergraph-based approach
Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles
Hierarchical co-clustering: off-line and incremental approaches
Temporal density extrapolation using a dynamic basis approach
A recurrent neural network architecture to model physical activity energy expenditure in older people
COG: local decomposition for rare class analysis
How to "alternatize" a clustering algorithm
On GNN explainability with activation rules
Summarizing transactional databases with overlapped hyperrectangles
Graph summarization with quality guarantees
Intersectional fair ranking via subgroup divergence
Clustering Boolean tensors
A survey of deep network techniques all classifiers can adopt
Grouped feature importance and combined features effect plot
Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model
Knowledge graph embedding methods for entity alignment: experimental review
Interpretable linear dimensionality reduction based on bias-variance analysis
Transaction aggregation as a strategy for credit card fraud detection
Binary matrix factorization for analyzing gene expression data
Mining top- K frequent itemsets from data streams
Guest editors' introduction: special section of selected papers from ECML-PKDD 2012
An efficient and effective similarity measure to enable data mining of petroglyphs
The grammar of interactive explanatory model analysis
On Bias, Variance, 0/1-Loss, and the Curse-of-Dimensionality
A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
Improving Graph Neural Networks by combining active learning with self-training
Multiple Bayesian discriminant functions for high-dimensional massive data classification
Human-in-the-loop handling of knowledge drift
Using derivatives in time series classification
A statistical significance testing approach to mining the most informative set of patterns
Extended missing data imputation via GANs for ranking applications
How robust is your fair model? Exploring the robustness of prominent fairness strategies
Modeling and elucidation of housing price
Discovering Classification from Data of Multiple Sources
Leveraging social media networks for classification
Topic model for analyzing purchase data with price information
Genetic process mining: an experimental evaluation
Using interesting sequences to interactively build Hidden Markov Models
ForestDSH: a universal hash design for discrete probability distributions
Decomposition-by-normalization (DBN): leveraging approximate functional dependencies for efficient CP and tucker decompositions
A systematic review of deep learning for structural geological interpretation
Survey on mining subjective data on the web
Tensor factorization using auxiliary information
A real-time temporal Bayesian architecture for event surveillance and its application to patient-specific multiple disease outbreak detection
Quantitative evaluation of motif sets in time series
Accurate Prediction of Protein Disordered Regions by Mining Protein Structure Data
Advances in Instance Selection for Instance-Based Learning Algorithms
Sequence graph transform (SGT): a feature embedding function for sequence data mining
Algorithmic cache of sorted tables for feature selection - Speeding up methods based on consistency and information theory measures
Measuring discrimination in algorithmic decision making
Enforcing fairness using ensemble of diverse Pareto-optimal models
Top-k overlapping densest subgraphs
Active learning: an empirical study of common baselines
An optimization model for collaborative recommendation using a covariance-based regularizer
Parallell interacting MCMC for learning of topologies of graphical models
Explainable contextual anomaly detection using quantile regression forests
Locating the contagion source in networks with partial timestamps
Targeted interest-driven advertising in cities using Twitter
Generating multiple alternative clusterings via globally optimal subspaces
Imbalanced classification in sparse and large behaviour datasets
HRHE: hybrid relations-guided multi-modal knowledge graph completion using hierarchical embeddings
Mining conjunctive sequential patterns
Building Decision Trees with Constraints
SkyGraph: an algorithm for important subgraph discovery in relational graphs
An inductive database system based on virtual mining views
Bayesian Wishart matrix factorization
Exploring uplift modeling with high class imbalance
Selective sampling techniques for feedback-based data retrieval
Structural Periodic Measures for Time-Series Data
On studying a 3D user interface for OLAP
Discretization: An Enabling Technique
Ensemble methods for uplift modeling
CrashNet: an encoder-decoder architecture to predict crash test outcomes
Structure-aware decoupled imputation network for multivariate time series
Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting
Weakly supervised nonnegative matrix factorization for user-driven clustering
What distinguish one from its peers in social networks?