yusuke1997/dblp-id-title huggingface dataset:
Oscillator-based approach for modeling process dynamics in NC milling with position- and time-dependent modal parameters
Minimization of exit burr in face milling of medium carbon steel by exit edge beveling
Aspects of reconfigurable and flexible fixtures
Modelling and simulation of electron beam melting
Influence of scaled undeformed sections of cut on strain rate, cutting force and temperature
Development of analytical model for orthogonal cutting
Large area rolling of functional metallic micro structures
Behavior of the magnetic abrasive tool for cutting edge preparation of cemented carbide end mills
Speeds, lead and characteristic defect frequencies of arbitrary roller screws
Volumetric measurement of the transient thermo-elastic machine tool behavior
Production engineering for self-organizing complex systems
Automated task planning for industrial robots and laser scanners for remote laser beam welding and cutting
Influences on the thermal behavior of linear guides and externally driven spindle systems
Design framework for the integration of cognitive functions into intelligent technical systems
Resource efficiency and environmental impact of fiber reinforced plastic processing technologies
Thermal simulation of the consolidation process of textile-reinforced thermoplastic components using homogenized parameters
Design of dynamic multi sensor systems
Self-optimizing injection molding based on iterative learning cavity pressure control
New developments on the use of polymeric materials in sheet metal forming
Performance of a piezo-hydraulic fine positioning device: Experimental analyses with a scaled model
Influence of the machining conditions when preparing cutting edges with elastic bonded grinding wheels
Towards integrative computational materials engineering of steel components
Process optimization for elastic adhesive bonding of large components with high tolerances
Logistic modelling of lateness distributions in inventory systems
Contribution to the declination of the dependability requirements using a three-dimensional decomposition of complex systems
Extracting influential nodes on a social network for information diffusion
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification
Effective elimination of redundant association rules
Proximity forest 2.0: a new effective and scalable similarity-based classifier for time series
Classification with label noise: a Markov chain sampling framework
Synwalk: community detection via random walk modelling
Generalized Dirichlet priors for Naïve Bayesian classifiers with multinomial models in document classification
SimHawNet: a modified Hawkes process for temporal network simulation
Noise-tolerance matrix completion for location recommendation
SAZED: parameter-free domain-agnostic season length estimation in time series data
Repeated labeling using multiple noisy labelers
Adaptive evolutionary clustering
Robust unsupervised cluster matching for network data
Effective signal reconstruction from multiple ranked lists via convex optimization
Crossmamba: multivariate time series forecasting model for cross-temporal and cross-dimensional dependencies with Mamba
Visual analysis of pressure in football
A comparative study of methods for estimating model-agnostic Shapley value explanations
An adaptive meta-heuristic for music plagiarism detection based on text similarity and clustering
Density-based semi-supervised clustering
Guest editorial: special issue on a decade of mining the Web
Irrevocable-choice algorithms for sampling from a stream
A deep multimodal model for bug localization
Exemplar-based low-rank matrix decomposition for data clustering
Clustering large attributed information networks: an efficient incremental computing approach
Efficient Multisplitting Revisited: Optima-Preserving Elimination of Partition Candidates
A survey of hierarchical classification across different application domains
A link mining algorithm for earnings forecast and trading
CrawlSN: community-aware data acquisition with maximum willingness in online social networks
Informative pseudo-labeling for graph neural networks with few labels
Micro-review synthesis for multi-entity summarization
Regularization-based methods for ordinal quantification
The Role of Occam's Razor in Knowledge Discovery
Fed-FUEL: fairness and utility enhancing agnostic federated learning framework
Self-organizing maps by difference of convex functions optimization
Sampling frequent and minimal boolean patterns: theory and application in classification
Discovering rare categories from graph streams
Setting decision thresholds when operating conditions are uncertain
ENDER: a statistical framework for boosting decision rules
Efficient algorithms for fair clustering with a new notion of fairness
DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams
Exploiting unlabeled data to enhance ensemble diversity
Deep soccer analytics: learning an action-value function for evaluating soccer players
A game-theoretic framework to identify overlapping communities in social networks
Introduction to the special issue for the ECML PKDD 2019 journal track
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization
Mining GPS Traces for Map Refinement
Instance-level accuracy versus bag-level accuracy in multi-instance learning
Online route prediction based on clustering of meaningful velocity-change areas
Mining trajectories of moving dynamic spatio-temporal regions in sensor datasets
Efficiently mining cohesion-based patterns and rules in event sequences
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes
Automatic Subspace Clustering of High Dimensional Data
Effect of Data Distribution in Parallel Mining of Associations
Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms
Exact variable-length anomaly detection algorithm for univariate and multivariate time series
Robust regression via error tolerance
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration
Frequent pattern mining: current status and future directions
Inhibiting diffusion of complex contagions in social networks: theoretical and experimental results
Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach
Using core-periphery structure to predict high centrality nodes in time-varying networks
TSelect: selecting relevant and non-redundant channels for multivariate time series classification
A case study of improving a non-technical losses detection system through explainability
HHMF: hidden hierarchical matrix factorization for recommender systems
Community detection in interval-weighted networks
Generalized density attractor clustering for incomplete data
Fast and accurate mining of correlated heavy hitters
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets
Ensemble-based community detection in multilayer networks
Hierarchical Clustering Algorithms for Document Datasets
Mining Pharmacy Data Helps to Make Profits
On the use of Human-Computer Interaction for Projected Nearest Neighbor Search
Parameter-less co-clustering for star-structured heterogeneous data
Mining periodic behaviors of object movements for animal and biological sustainability studies
Extensible Parallel Query Processing for Exploratory Geoscientific Data Mining
A computational approach inspired by simulated annealing to study the stability of protein interaction networks in cancer and neurological disorders
Fast block-wise partitioning for extreme multi-label classification
Data Clustering with Partial Supervision
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)
Active learning for object classification: from exploration to exploitation
TEASER: early and accurate time series classification
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Fast mining of distance-based outliers in high-dimensional datasets
An incremental clustering scheme for data de-duplication
Re-examination of interestingness measures in pattern mining: a unified framework
Gradient boosted bagging for evolving data stream regression
Multilayer horizontal visibility graphs for multivariate time series analysis
Feature selection for k-means clustering stability: theoretical analysis and an algorithm
SFC: a time series decomposition attention network with continuous nature for time series analysis
Discrimination- and privacy-aware patterns
A comparative evaluation of clustering-based outlier detection
Efficient algorithms for segmentation of item-set time series
Graph based anomaly detection and description: a survey
Spatial autocorrelation and entropy for renewable energy forecasting
Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks
Structural-temporal coupling anomaly detection with dynamic graph transformer
Binary quantification and dataset shift: an experimental investigation
Mining Adaptive Ratio Rules from Distributed Data Sources
Pessimistic cost-sensitive active learning of decision trees for profit maximizing targeting campaigns
On temporal-constrained sub-trajectory cluster analysis
Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation
Concept drift over geological times: predictive modeling baselines for analyzing the mammalian fossil record
Guest editor's introduction: special issue of the ECML PKDD 2013 journal track
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers
Guest editorial: special issue on data mining technologies for computational social science
Visual Data Mining: Recognizing Telephone Calling Fraud
Building an Association Rules Framework to Improve Product Assortment Decisions
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances
Guest editors' introduction: special issue of the ECML/PKDD 2014 journal track
Fake review detection on online E-commerce platforms: a systematic literature review
The art of centering without centering for robust principal component analysis
Survey on using constraints in data mining
A unifying view of explicit and implicit feature maps of graph kernels
Correlations between random projections and the bivariate normal
A drift detection method based on dynamic classifier selection
An efficient K-means clustering algorithm for tall data
A survey on enhanced subspace clustering
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
Communication-Efficient Distributed Mining of Association Rules
MODE-Bi-GRU: orthogonal independent Bi-GRU model with multiscale feature extraction
MASS: distance profile of a query over a time series
De-confounding representation learning for counterfactual inference on continuous treatment via generative adversarial network
Mining Surprising Periodic Patterns
The BOSS is concerned with time series classification in the presence of noise
PAC-Bayesian lifelong learning for multi-armed bandits
Regression tree-based active learning
Data debiasing via causal diffusion model
On normalization and algorithm selection for unsupervised outlier detection
On searching and indexing sequences of temporal intervals
Using regression makes extraction of shared variation in multiple datasets easy
The Boolean column and column-row matrix decompositions
Deep graph similarity learning: a survey
Bias characterization, assessment, and mitigation in location-based recommender systems
An efficient procedure for mining egocentric temporal motifs
Discovery of Web Robot Sessions Based on their Navigational Patterns
DECODE: a new method for discovering clusters of different densities in spatial data
Isolation kernel: the X factor in efficient and effective large scale online kernel learning
FastEE: Fast Ensembles of Elastic Distances for time series classification
Score-based methods for learning Markov boundaries by searching in constrained spaces
A probabilistic stop and move classifier for noisy GPS trajectories
Sparse oblique decision trees: a tool to understand and manipulate neural net features
Euclidean Distance Based Permutation Methods in Atmospheric Science
Three naive Bayes approaches for discrimination-free classification
Correction to: AA-forecast: anomaly-aware forecast for extreme events
Guest Editorial: Special Issue on impacting patient care by mining medical data
Relaxing the strong triadic closure problem for edge strength inference
A two-step anomaly detection based method for PU classification in imbalanced data sets
Finding the longest common sub-pattern in sequences of temporal intervals
RMIDDM: an unsupervised and interpretable concept drift detection method for data streams
Robust and sparse multigroup classification by the optimal scoring approach
A Survey of Methods for Scaling Up Inductive Algorithms
Domain agnostic online semantic segmentation for multi-dimensional time series
Medical data mining: insights from winning two competitions
Counts-of-counts similarity for prediction and search in relational data
Future trends in data mining
Noise-free latent block model for high dimensional data
Effective social post classifiers on top of search interfaces
K-Optimal Rule Discovery
Grafting for combinatorial binary model using frequent itemset mining
Two heads better than one: pattern discovery in time-evolving multi-aspect data
FuseRec: fusing user and item homophily modeling with temporal recommender systems
Training and assessing classification rules with imbalanced data
Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack
Exact mean computation in dynamic time warping spaces
DeepRank: improving unsupervised node ranking via link discovery
Mining top- K frequent itemsets through progressive sampling
Preventing deception with explanation methods using focused sampling
Evaluating discrete choice prediction models when the evaluation data is corrupted: analytic results and bias corrections for the area under the ROC
Anomaly detection in spatiotemporal data via regularized non-negative tensor analysis
Comparing dynamics of fluency and inter-limb coordination in climbing activities using multi-scale Jensen-Shannon embedding and clustering
Is Sampling Useful in Data Mining? A Case in the Maintenance of Discovered Association Rules
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances
Variable screening for Lasso based on multidimensional indexing
Personalization of Supermarket Product Recommendations
Differentiated matching for individual and average treatment effect estimation
Deep learning for time series classification: a review
Behavior-based clustering and analysis of interestingness measures for association rule mining
Guest editors introduction: special issue of the ECMLPKDD 2015 journal track
On data mining, compression, and Kolmogorov complexity
On High Dimensional Projected Clustering of Data Streams
Structural robustness and service reachability in urban settings
Ordinal, Continuous and Heterogeneous k -Anonymity Through Microaggregation
A unified view of density-based methods for semi-supervised clustering and classification
Identifying exceptional (dis)agreement between groups
Hyperbolic node embedding for temporal networks
Time series classification with ensembles of elastic distance measures
Information Preserving Time Decompositions of Time Stamped Documents *
On classifier behavior in the presence of mislabeling noise
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction
Meta-path based proximity learning in heterogeneous information networks
Clustering using GRASP and path relinking for the max k-cut problem
Reinforcing Web-object Categorization Through Interrelationships
Multi-relational knowledge graph contrastive learning for link prediction
Link prediction in dynamic networks using random dot product graphs
Multi-relational pattern mining over data streams
Using Generalized Estimating Equation to Learn Decision Tree with Multivariate Responses
Generalization-based privacy preservation and discrimination prevention in data publishing and mining
i-Align: an interpretable knowledge graph alignment model
Unsupervised feature based algorithms for time series extrinsic regression
Explaining clusterings of process instances
Anomaly detection in large-scale data stream networks
Learning Semi-Structured Document Categorization Using Bounded-Length Spectrum Sub-Sequence Kernels
Sentiment analysis in tweets: an assessment study from classical to modern word representation models
Enhancing Product Recommender Systems on Sparse Binary Data
Matching code and law: achieving algorithmic fairness with optimal transport
Mining blackhole and volcano patterns in directed graphs: a general approach
Boosting house price predictions using geo-spatial network embedding
Building Association-Rule Based Sequential Classifiers for Web-Document Prediction
Network regression with predictive clustering trees
Data-driven learning optimal K values for K-nearest neighbour matching in causal inference
Anytime discovery of a diverse set of patterns with Monte Carlo tree search
Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem
A novel hash-based approach for mining frequent itemsets over data streams requiring less memory space
Techniques of Cluster Algorithms in Data Mining
Fast incremental mining of web sequential patterns with PLWAP tree
Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations
DRESS: dimensionality reduction for efficient sequence search
A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates
Online summarization of dynamic graphs using subjective interestingness for sequential data
Strengthening ties towards a highly-connected world
Accelerating spectral clustering with partial supervision
FRAPPE: fast rank approximation with explainable features for tensors
Can local explanation techniques explain linear additive models?
Discrimination of Alzheimer's Disease using longitudinal information
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency
Randomnet: clustering time series using untrained deep neural networks
SAL τ : efficiently stopping TAR by improving priors estimates
Para Miner: a generic pattern mining algorithm for multi-core architectures
SimUSF: an efficient and effective similarity measure that is invariant to violations of the interval scale assumption
Labeled Phrase Latent Dirichlet Allocation and its online learning algorithm
Fast support vector machines for convolution tree kernels
CONTOUR: an efficient algorithm for discovering discriminating subsequences
Exploiting domain knowledge to detect outliers
Bounding the difference between RankRC and RankSVM and application to multi-level rare class kernel ranking
Enhancing cluster analysis via topological manifold learning
Deep unsupervised domain adaptation for time series classification: a benchmark
Nearly exact mining of frequent trees in large networks
Guest Editorial: Statistical Mining and Data Visualization in Atmospheric Sciences
Regimes in baseball players' career data
Detecting localized homogeneous anomalies over spatio-temporal data
A graph convolutional fusion model for community detection in multiplex networks
Detecting anomaly collections using extreme feature ranks
A multi-scale time series forecasting framework with temporal hierarchical information fusion and reconciliation
Deeply supervised model for click-through rate prediction in sponsored search
Experimental comparison of representation methods and distance measures for time series data
Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture
Fast exhaustive subgroup discovery with numerical target concepts
Extracting Share Frequent Itemsets with Infrequent Subsets
Manifold elastic net: a unified framework for sparse dimension reduction
Decision tree boosted varying coefficient models
Guest Editorial: Global modeling using local patterns
Outlier detection using binary decision diagrams
An improvement of the parameterized frequent directions algorithm
Correction: A semi‑supervised interactive algorithm for change point detection
Multiple-input neural networks for time series forecasting incorporating historical and prospective context
Negative-sample-free knowledge graph embedding
Marginal effects for non-linear prediction functions
Correction to: Effective signal reconstruction from multiple ranked lists via convex optimization
Dynamic detection of anomalous regions within distributed acoustic sensing data streams using locally stationary wavelet time series
Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series
Unpacking the trend: decomposition as a catalyst to enhance time series forecasting models
Estimating sequence similarity from read sets for clustering next-generation sequencing data
Attention based adversarially regularized learning for network embedding
An alternating nonmonotone projected Barzilai-Borwein algorithm of nonnegative factorization of big matrices
Bootstrapping to Assess and Improve Atmospheric Prediction Models
Characterizing attitudinal network graphs through frustration cloud
Correction: Steering the LoCoMotif: Using domain knowledge in time series motif discovery
Leveraging internal representations of GNNs with Shapley values
Speeding up similarity search under dynamic time warping by pruning unpromising alignments
A new bandit setting balancing information from state evolution and corrupted context
Online concept evolution detection based on active learning
Bridging Local and Global Data Cleansing: Identifying Class Noise in Large, Distributed Data Datasets
Correction: Deep anomaly detection with partition contrastive learning for tabular data
Tractome: a visual data mining tool for brain connectivity analysis
Ontology of core data mining entities
Social norm bias: residual harms of fairness-aware algorithms
Overlapping community detection in labeled graphs
Beyond rankings: comparing directed acyclic graphs
Inferring range of information diffusion based on historical frequent items
Who can receive the pass? A computational model for quantifying availability in soccer
An eager splitting strategy for online decision trees in ensembles
Approximation trees: statistical reproducibility in model distillation
Structural iterative lexicographic autoencoded node representation
RTG: a recursive realistic graph generator using random typing
Studying bias in visual features through the lens of optimal transport
Applications of Data Mining to Electronic Commerce
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment
Using differential evolution for an attribute-weighted inverted specific-class distance measure for nominal attributes
Network embedding based on high-degree penalty and adaptive negative sampling
Exploratory mining in cube space
Explaining anomalies in groups with characterizing subspace rules
Dynamic inference of social roles in information cascades
Learning bidirectional asymmetric similarity for collaborative filtering via matrix factorization
TSK-Streams: learning TSK fuzzy systems for regression on data streams
POI recommendation with queuing time and user interest awareness
Learning about meetings
TIRPClo: efficient and complete mining of time intervals-related patterns
Methods for explaining Top-N recommendations through subgroup discovery
Entity completion for industrial knowledge graph based on zero-shot learning
Finding lasting dense subgraphs
Activity preserving graph simplification
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
struc2gauss: Structural role preserving network embedding via Gaussian embedding
Mining Multiple Data Sources: Local Pattern Analysis