yusuke1997/dblp-id-title huggingface dataset:
Rule discovery for event histories
Efficient computation of target-oriented link criticalness centrality in uncertain graphs
Hybrid recommender systems: A systematic literature review
Integrating deep neural network with logic rules for credit scoring
An active learning system for mining time-changing data streams
From undirected dependence to directed causality: A novel Bayesian learning approach
A comparison of clustering quality indices using outliers and noise
A hybrid classification method via keywords screening and attention mechanisms in extreme short text
Online analytical processsing on graph data
A multi-layer multi-view stacking model for credit risk assessment
A hybrid quantum-behaved particle swarm optimization solution to non-convex economic load dispatch with multiple fuel types and valve-point effects
Learning drifting concepts: Example selection vs. example weighting
An advanced profile hidden Markov model for malware detection
Constraint acquisition methods for data clustering
Mining monolingual and bilingual corpora
Modeling dynamic substate chains among massive states
Integrating expert knowledge for Bayesian network structure learning based on intuitionistic fuzzy set and Genetic Algorithm
Tree structured classifiers, interconnected data, and predictive accuracy
A test sample oriented two-phase discriminative dictionary learning algorithm for face recognition
Lightweight blockchain approach to reduce double-spend and 51% attacks on Proof-of-Work
Enhancing K-Means using class labels
Incremental maintenance of discovered association rules and approximate dependencies
Cluster-based sampling of multiclass imbalanced data
The ROC isometrics approach to construct reliable classifiers
Efficient rule based structural algorithms for classification of tree structured data
Iceberg-cube algorithms: An empirical evaluation on synthetic and real data
Ship trajectory anomaly detection
Story graphs: Tracking document set evolution using dynamic graphs
Semantic-enriched visual vocabulary construction in a weakly supervised context
Approximations and uncertainty measure- ments in ordered information systems
Multi-view twin support vector machines
Word co-occurrence augmented topic model in short text
Efficiently mining maximal l-reachability co-location patterns from spatial data sets
Ep-Satty-MCDM based business decision-making model using behaviour and review data
Comparative study of classifier ensembles for cost-sensitive credit risk assessment
Contextual emotion detection on text using gaussian process and tree based classifiers
An efficient and effective approach for mining a group stock portfolio using mapreduce
A latent-label denoising method for relation extraction with self-directed confidence learning
Special Issue of IDA devoted to CIARP 2013
Decision tree based induction of decision lists
Conversational recommender based on graph sparsification and multi-hop attention
Secureimagesec: A privacy-preserving framework for outsourced picture representation with content-based image retrieval
Feature identification for topical relevance assessment in feed search engines
Addressing the validation of overlapping clustering algorithms
Extracting domain-specific stopwords for text classifiers
Cracking black-box models: Revealing hidden machine learning techniques behind their predictions
A novel SVM modeling approach for highly imbalanced and overlapping classification
A novel krill herd algorithm with orthogonality and its application to data clustering
Maximizing the spread of positive influence in signed social networks
Determining appropriate membership functions to simplify fuzzy induction
Unsupervised contaminated user profile identification against shilling attack in recommender system
Effective social graph visualization techniques using friend and hierarchical matching
A review on learning based image reflection removal algorithms
Similarity-based sales forecasting using improved ConvLSTM and prophet
Robust feature selection for multiclass Support Vector Machines using second-order cone programming
Finding reinforced structural hole spanners in social networks via node embedding
Assessing university enrollment and admission efforts via hierarchical classification and feature selection
Wrapper discretization by means of estimation of distribution algorithms
A neural network-based software sensor for coagulation control in a water treatment plant
Knowledge discovery in molecular biology: Identifying structural regularities in proteins
A modular information extraction system
Finding sporadic rules in the diagnosis of the Erythemato-Squamous diseases
Connectionist construction of prototypes from decision trees for graph classification
Constrained matrix factorization for financial data clustering
Fast Dimensionality Reduction and Simple PCA
Management optimization strategy of the closed-loop supply chain by deep learning technology
Exploring discrepancies in findings obtained with the KDD Cup '99 data set
Data-driven predictive maintenance framework for railway systems
Structural hidden Markov models: An application to handwritten numeral recognition
An improved opposition based learning firefly algorithm with dragonfly algorithm for solving continuous optimization problems
Which is more influential, "Who" or "When" for a user to rate in online review site?
Efficiently mining of skyline frequent-utility patterns
Inferring signaling pathways using interventional data
An efficient isomorphic CNN-based prediction and decision framework for financial time series
A parametric approximation algorithm for spatial group keyword queries
A statistical approach for selecting discriminative features of spatial regions of interest
Data set Editing by Ordered Projection
How much effort should be spent to detect fraudulent applications when engaged in classifier-based lending?
Utilisation of administrative registers using scientific knowledge discovery
Textual features for corpus visualization using correspondence analysis
A clustering algorithm for fuzzy numbers based on fast search and find of density peaks
Symbolic methodology for numeric data mining
Machine learning application in the ex-combatant demobilization process on the Colombian armed conflict
Vector decision trees
Computerized retrieval and classification: An application to reasons for late filings with the securities and exchange commission
Distant supervised relation extraction via long short term memory networks with sentence embedding
Hierarchical interpolation point anonymity for trajectory privacy protection
Hybrid adaptation for detecting skin in color images
Heuristics for the two-dimensional cutting stock problem with usable leftover
Evaluation of data analytics based clustering algorithms for knowledge mining in a student engagement data
Pure large kernel convolutional neural network transformer for medical image registration
Diverse accurate feature selection for microarray cancer diagnosis
Use of data envelopment analysis and clustering in multiple criteria optimization
Intelligent stock market instability index: Application to the Korean stock market
Pattern Recognition by Splitting Images Into Trees of Fuzzy Regions
Note-level singing melody transcription with transformers
Ensemble machine learning methods for spatio-temporal data analysis of plant and ratoon sugarcane
Effective sanitization approaches to hide sensitive utility and frequent itemsets
Feature-based multi-criteria recommendation system using a weighted approach with ranking correlation
Fast ordering of large categorical datasets for visualization
How graph features from message passing affect graph classification and regression?
Adaptive fuzzy C-means clustering integrated with local outlier factor
Image indexing using regularized online non-negative semantic embedding
A Bayesian network approach to explaining time series with changing structure
Improving acute kidney injury detection with conditional probabilities
A central tendency-based privacy preserving model for sensitive XML association rules using Bayesian networks
Guest-editorial
Classification of patients and controls based on stabilogram signal data
Hierarchical clustering of heavy-tailed data using a new similarity measure
Stock market stability index: An intelligent approach
Improvement of the Parzen classifier in small training sample size situations
EMOPG+FS: Evolutionary multi-objective prototype generation and feature selection
A genre-based fuzzy inference approach for effective filtering of movies
Optimization overlap clustering based on the hybrid rough discernibility concept and rough K-Means
Trajectory outlier detection method based on group division
Augmenting data with generative adversarial networks: An overview
A social influence based trust model for recommender systems
Fuzzy min-max neural network based decision trees
Spatial-time motifs discovery
Beyond accuracy - A SMART approach to site-based spatio-temporal data quality assessment
Multi-class WHMBoost: An ensemble algorithm for multi-class imbalanced data
On the use of word embedding for cross language plagiarism detection
Scalable k-means for large-scale clustering
Personalized trajectory privacy-preserving method based on sensitive attribute generalization and location perturbation
Knowledge-embodied attention for distantly supervised relation extraction
CliDaPa: A new approach to combining clinical data with DNA microarrays
Estimating a one-class naive Bayes text classifier
Comparison of similarity measures for clustering Turkish documents
Geometric indexing for recognition of places based on expanded delaunay triangulation
An alternative approach for clustering web user sessions considering sequential information
CMCEE: A joint learning framework for cascade decoding with multi-feature fusion and conditional enhancement for overlapping event extraction
A framework for modelling virus gene expression data
Microbloggers' interest inference using a subgraph stream
An influence-based fast preceding questionnaire model for elderly assessments
Improving session-based temporal recommendation by using dynamic clustering
A stacking model for variation prediction of public bicycle traffic flow
Attribute interaction aware matrix factorization method for recommendation
Manifold regularization ensemble clustering with many objectives using unsupervised extreme learning machines
Resolving rule conflicts with double induction
NetNDP: Nonoverlapping (delta, gamma)-approximate pattern matching
Combining diverse one-class classifiers by means of dynamic weighted average for multi-class pattern classification
On pushing weight constraints deeply into frequent itemset mining
Structure/attribute computation of similarities between nodes of a RDF graph with application to linked data clustering
Outlier detection based on transitive closure
Multidimensional benchmarking in data warehouses
Robust learning intrusion detection for attacks on wireless networks
An embedded feature selection approach for support vector classification via second-order cone programming
Tightening upper bounds for mining weighted frequent itemsets
Bayesian network classifiers: Beyond classification accuracy
Weighted Local Similarity Pattern as image similarity model incorporated in GA-based relevance feedback mechanism
Attribute-guided and attribute-manipulated similarity learning network for fashion image retrieval
Exploiting statistically significant dependent rules for associative classification
Combining multiple predictive models using genetic algorithms
Cost-sensitive convolutional neural networks for imbalanced time series classification
Structural geography of the space of emerging patterns
USI-AUC: An evaluation criterion of community detection based on a novel link-prediction method
HHFS: Hyper-heuristic feature selection
Distribution-free discriminant analysis
Multilingual emotion classifier using unsupervised pattern extraction from microblog data
Clustering distributed sensor data streams using local processing and reduced communication
A hybrid node classification mechanism for influential node prediction in Social Networks
An improved approach of particle swarm optimization and application in data clustering
Wear-free gesture recognition based on residual features of RFID signals
Discovering frequent induced subgraphs from directed networks
Visualized mixed-type data analysis via dimensionality reduction
Meta-conformity approach to reliable classification
Decision trees for web log mining
MEGA: Predicting the best classifier combination using meta-learning and a genetic algorithm
Graph guided local structure propagation for tensorial multi-view subspace clustering
Evaluating semantic representations for extended association rules
An application of machine learning and statistics to defect detection
Efficient mining of new concise representations of rare correlated patterns\m{1}
A robust parzen window mutual information estimator for feature selection with label noise
A dynamic approach to adjusting lengths of intervals in fuzzy time series forecasting
Evolutionary algorithms for grouping high dimensional Email data
A new mutual information based measure for feature selection
Rule quality for multiple-rule classifier: Empirical expertise and theoretical methodology
A parallel and balanced SVM algorithm on spark for data-intensive computing
How to improve the convergence on sigmoid Fuzzy Cognitive Maps?
A cross-model hierarchical interactive fusion network for end-to-end multimodal aspect-based sentiment analysis
Kernelized evolutionary distance metric learning for semi-supervised clustering
Forecast combination with multivariate grey prediction for tourism demand forecasting
Cluster ensemble selection based on a new cluster stability measure
A directed link prediction method using graph convolutional network based on social ranking theory
A comprehensive validity index for clustering
IP algorithms in compact rough classification modeling
Raising data for improved support in rule mining: How to raise and how far to raise
Multiscale rough set data analysis with application to stock performance modeling
Communities of interest
Low density separation as a stopping criterion for active learning SVM
Identification of discriminative features in the EEG
MaskedPainter: Feature selection for microarray data analysis
Mining spatial high-average utility co-location patterns from spatial data sets
A new ranking procedure by incomplete pairwise comparisons using preference subsets
Improved performance on melanoma skin cancer classification using deep learning based ensemble technique
RLS: An efficient time series clustering method based on u-shapelets
PCA of Wavelet Transformed Process Data for Monitoring
Knowledge Visualization Techniques for Machine Learning
Adaptive geometric median prototype selection method for k-nearest neighbors classification
Knowledge discovery in bioinformatics
A comprehensive survey of numeric and symbolic outlier mining techniques
Temporal motif-based attentional graph convolutional network for dynamic link prediction
DAMGNN: Deep adaptive multi-channel graph neural networks
Explainable paper classification system using topic modeling and SHAP
Forecasting emergency department admissions
Efficient negative association rule mining based on chance thresholds
m-CADE: A mobile based cardiovascular abnormality detection engine using efficient multi-domain feature combinations
Machine learning based software effort estimation using development-centric features for crowdsourcing platform
Feature evolvable learning with image streams
Efficient n-gram construction for text categorization using feature selection techniques
Dynamic support vector machines for non-stationary time series forecasting
Multiple Distilling-based spatial-temporal attention networks for unsupervised human action recognition
A neural network based CBIR system using STI features and relevance feedback
Predicting Phase Transitions of Binary Constraint Satisfaction Problems with Constraint Graph Information
UT-Tree: Efficient mining of high utility itemsets from data streams
Multi-label learning vector quantization for semi-supervised classification
A semantic recommender system based on frequent tag pattern
Evolutionary data analysis for the class imbalance problem
A novel multi-class classification algorithm based on one-class support vector machine
On the use of self-organizing maps for clustering and visualization
Differential scorecards for binary and ordinal data
Tag-aware recommendation based on Bayesian personalized ranking and feature mapping
A comprehensive analysis of hyper-heuristics
Test scheduling of network-on-chip using hybrid WOA-GWO algorithm
Exploiting association and correlation rules parameters for learning Bayesian networks
Regression trees with splitting based on changes of dependencies among covariates
Prototype induction and attribute selection via evolutionary algorithms
The use of hidden semi-Markov models in clinical diagnosis maze tasks
RegRL-KG: Learning an L1 regularized reinforcement agent for keyphrase generation
Finite population Bayesian bootstrapping in high-dimensional classification via logistic regression
Using model-based collaborative filtering techniques to recommend the expected best strategy to defeat a simulated soccer opponent
Building fast decision trees from large training sets
Instance-based ensemble pruning for imbalanced learning
A novel similarity measure for data clustering
ProbMap - A probabilistic approach for mapping large document collections
Interpretable deep classification of time series based on class discriminative prototype learning
Efficiently mining Maximal Frequent Sets in dense databases for discovering association rules
Mining patterns for clustering using unsupervised decision trees
Missing data imputation using correlation coefficient and min-max normalization weighting
Data clustering using variable precision rough set
Adaptive Ripple Down Rules method based on minimum description length principle
Floating-point histograms for exploratory analysis of large scale real-world data sets
Identity verification through dynamic keystroke analysis
Multi-kernel maximum entropy discrimination for multi-view learning
A semantic-aware collaborative filtering recommendation method for emergency plans in response to meteorological hazards
Attributed network representation learning via DeepWalk
A novel feature selection method for large-scale data sets
A hybrid intelligent approach for output projection in a semiconductor fabrication plant
The fitness-rough: A new attribute reduction method based on statistical and rough set theory
A hybrid filter-wrapper feature selection method for DDoS detection in cloud computing
Hephaistos: A fast and distributed outlier detection approach for big mixed attribute data
Scalable document classification
Special Issue on Business Analytics and Intelligent Optimization
Analysis of privacy and utility tradeoffs in anonymized mobile context streams
Uni- and multivariate probability density models for numeric subgroup discovery
Dynamic Association Rule Mining using Genetic Algorithms
A graph model based feature set selection from short texts with application to document novelty detection
Knowledge acquisition from quantitative data using the rough-set theory
Adaptive generative knowledge distillation for dense object detection with reused detector
Robust partial face recognition using multi-label attributes
Atypicity detection in data streams: A self-adjusting approach
Hierarchical features-based targeted aspect extraction from online reviews
Partially ordered rough ensemble clustering for multigranular representations
A memetic-based technical indicator portfolio and parameters optimization approach for finding trading signals to construct transaction robot in smart city era
Keyphrase extraction using deep and wide learning features
Transition regions detection from satellite images based on evolutionary region growing segmentation
A feature-aware long-short interest evolution network for sequential recommendation
A fuzzy-neural approach for global CO2 concentration forecasting
Efficient facial expression recognition based on convolutional neural network
Characterising Data Mining software
Periodic pattern analysis of non-uniformly sampled stock market data
SUWAN: A supervised clustering algorithm with attributed networks
Detection of multi-size peach in orchard using RGB-D camera combined with an improved DEtection Transformer model
A community-based algorithm for influence maximization on dynamic social networks
Incremental mining of sequential patterns: Progress and challenges
Data clustering with stochastic cellular automata
A fast and flexible instance selection algorithm adapted to non-trivial database sizes
A feature-level mask self-supervised assisted learning approach based on transformer for remaining useful life prediction
Data Preprocessing and Intelligent Data Analysis
PSO driven collaborative clustering: A clustering algorithm for ubiquitous environments
Integrating models of discrimination and characterization
Evolutionary feature selection based on hybrid bald eagle search and particle swarm optimization
A bounded-size clustering algorithm on fully-dynamic streaming graphs
Fuzzy rule base for consumer trustworthiness in Internet marketing: An interactive fuzzy rule classification approach
Unsupervised fuzzy learning and cluster seeking
Graph anonymization via metric embed-dings: Using classical anonymization for graphs
Materialized aR-Tree in Distributed Spatial Data Warehouse
Collaborative optimization with PSO for named entity recognition-based applications
A fast and distributed C4.5 algorithm for urban big data
RGCF: Refined graph convolution collaborative filtering with concise and expressive embedding
Imbalanced data prediction model based on self-attention mechanism and generative adversarial network
A brief review of the main approaches for treatment of missing data
A semantic textual similarity measurement model based on the syntactic-semantic representation
GeoNLPlify: A spatial data augmentation enhancing text classification for crisis monitoring
A study on rare fraud predictions with big Medicare claims fraud data
An effective method for approximate representation of frequent itemsets
A new fuzzy rule-based classification system for word sense disambiguation
A dependency-graph based approach for finding justification in OWL 2 EL
GT-CHES: Graph transformation for classification in human evolutionary systems
Influence maximization based on network representation learning in social network
Feature Selection for Classification
Hybrid probabilistic sampling with random subspace for imbalanced data learning
Discovering frequent pattern pairs
Editorial: Reasoning About Data
Using the beta distribution technique to detect attacked items from collaborative filtering
Approximate minimum spanning tree clustering in high-dimensional space
Towards a machine learning approach based on incremental concept formation
Semi-supervised learning on closed set lattices
Analyzing mixed-type data by using word embedding for handling categorical features
Application of Machine Learning in Water Distribution Networks
Maintaining the performance of a learned classifier under concept drift
MICSL: Multiple Iterative Constraint Satisfaction based Learning
Methods for detecting and correcting contextual data quality problems
MFF-SC: A multi-feature fusion method for smart contract classification
Heterogeneous graph community detection method based on K-nearest neighbor graph neural network
Analysing company performance using templates
Binary partition for itemsets expansion in mining high utility itemsets
Enhancing Adaboost performance in the presence of class-label noise: A comparative study on EEG-based classification of schizophrenic patients and benchmark datasets
On the need of hierarchical emotion classification: Detecting the implicit feature using constrained topic model
Temporal Bayesian classifiers for modelling muscular dystrophy expression data
Multi-task prediction model based on ConvLSTM and encoder-decoder
PGNBC: Pearson Gaussian Naïve Bayes classifier for data stream classification with recurring concept drift
Data reduction for classification with ant colony algorithms