yusuke1997/dblp-id-title huggingface dataset:
Improvements of bat algorithm for optimal feature selection: A systematic literature review
High performance computing for spatial outliers detection using parallel wavelet transform
Interactive document clustering with feature supervision through reweighting
Bayesian hierarchical K-means clustering
Author Index Volume 19 (2015)
CBDA: Chaos-based binary dragonfly algorithm for evolutionary feature selection
Learning labeling functions in distantly supervised relation extraction
A model to estimate the Self-Organizing Maps grid dimension for Prototype Generation
NOEMON: Design, implementation and performance results of an intelligent assistant for classifier selection
Multi-task intent recommendation based on dynamic and static intent integration and disentanglement
Multi-modal deep distance metric learning
Sequential nonlinear manifold learning
Guest-editorial: Mining official data
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets
Minimum sum-squared residue for fuzzy co-clustering
An efficient density-based clustering with side information and active learning: A case study for facial expression recognition task
Bayesian estimation of decay parameters in Hawkes processes
Schema matching on streams with accuracy guarantees
An unsupervised clustering approach for leukaemia classification based on DNA micro-arrays data
Small network completion using frequent subnetworks
A guidance of data stream characterization for meta-learning
Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map
A cluster boundary detection algorithm based on shadowed set
Intrusion detection algorithom based on transfer extreme learning machine
A novel HVAC fuzzy controller based on improved snake optimizer algorithm
Energy efficient metaheuristic cluster-based routing protocol for underwater sensor networks
ACEANet: Ambiguous Context Enhanced Attention Network for skin lesion segmentation
A greedy algorithm for dimensionality reduction in polynomial regression to forecast the performance of a power plant condenser
Scalable anomaly detection in graphs
An efficient method for time series similarity search using binary code representation and hamming distance
Single channel source separation using graph sparse NMF and adaptive dictionary learning
Text classification method based on dependency parsing and hybrid neural network
A systematic review on recommendation systems applied to chronic diseases
DCE-IVI: Density-based clustering ensemble by selecting internal validity index
Optimal leverage association rules with numerical interval conditions
Cluster Width of probability Density functions
Deep multiple non-negative matrix factorization for multi-view clustering
Complementary distribution BPSO for feature selection
Mining multi-relational high utility itemsets from star schemas
A new PCA-based method for data compression and enhancement of multi-frequency polarimetric SAR imagery
An efficient semi-supervised graph based clustering
GPU-based swarm intelligence for Association Rule Mining in big databases
Locality structure preserving based feature selection for prognostics
Parameter extraction by parallel neural networks
A simulated annealing technique for generating artificial data to assess concept learning algorithms
Automatic image detection of multi-type surface defects on wind turbine blades based on cascade deep learning network
A taxonomy of Self-organizing Maps for temporal sequence processing
An improvement of SAX representation for time series by using complexity invariance
Collaborative filtering on streaming data with interest-drifting
An enhanced feature representation based on linear regression model for stock market prediction
Multi-modal neuroimaging feature fusion via 3D Convolutional Neural Network architecture for schizophrenia diagnosis
A neural network approach to normality testing
Unsupervised latent event representation learning and storyline extraction from news articles based on neural networks
Real-time incremental recommendation for streaming data based on apache flink
Grade correspondence analysis applied to contingency tables and questionnaire data
Automated detection of diabetes using higher order spectral features extracted from heart rate signals
ClusterMPP: An unsupervised density-based clustering algorithm via Marked Point Process
User-item content awareness in matrix factorization based collaborative recommender systems
An efficient algorithm for high utility sequential pattern mining over data streams based on sliding window model
An anti-noise ensemble algorithm for imbalance classification
Key roles of closed sets and minimal generators in concise representations of frequent patterns
New probabilistic interest measures for association rules
A co-evolutionary framework for adaptive multidimensional data clustering
Improving the prediction performance of customer behavior through multiple imputation
Missing values prediction with K2
Using eigenvalues of distance matrices for outlier detection
An association rules based method for classifying product offers from e-shopping
Lazy attribute selection: Choosing attributes at classification time
NgramSPD: Exploring optimal n-gram model for sentiment polarity detection in different languages
About estimation of quality of clustering results via its stability
Iterative imputation algorithms for process modeling with incomplete data
Effective spatial clustering methods for optimal facility establishment
An outlier detection algorithm based on an integrated outlier factor
A new incremental data mining algorithm using pre-large itemsets
Comparing identification methods for DNA investigations of crimes and accidents
Reducing the synchronizing communication overhead for distributed graph-parallel computing
Temporal attention-aware evidential recurrent network for trustworthy prediction of Alzheimer's disease progression
A novel cluster ensemble approach effected by subspace similarity
Multi-scale hierarchical model for long-term time series forecasting
A geometric density-based sample reduction method
Design of an energy efficient dynamic virtual machine consolidation model for smart cities in urban areas
Hierarchical multi-label classification with SVMs: A case study in gene function prediction
Comparing weighted combination of hierarchical clustering based on Cophenetic measure
Towards more relevance-oriented data mining research
EFS-XGBoost: A robust framework for precision classification of COVID-19 cases
Modeling financial dependence with support vector regression
Metric concentration search procedure using reduced matrix of pairwise distances
Influence of class distribution on cost-sensitive learning: A case study of bankruptcy analysis
Semi-supervised GSOM integrated with extreme learning machine
Automatic selection of classification learning algorithms for data mining practitioners
Bayesian approach to linear state space model with unknown measurement matrix
From digital genetics to knowledge discovery: Perspectives in genetic network understanding
Detailed investigation of deep features with sparse representation and dimensionality reduction in CBIR: A comparative study
Symbolic and spatial data analysis: Mining complex data structures
GOW-Stream: A novel approach of graph-of-words based mixture model for semantic-enhanced text stream clustering
A comparison of two data mining techniques to predict abnormal stock market returns
Combining pattern-based CRFs and weighted context-free grammars
Nonmetric multidimensional scaling: Neural networks versus traditional techniques
Intelligent forecasting for financial time series subject to structural changes
A Classification Approach Incorporating Misclassification Costs
Boosting classifiers for drifting concepts
The relationship determination between the Bayesian networks nodes based on the intuitionistic fuzzy set
Classification of credit scoring data with privacy constraints
Efficient pattern matching with periodical wildcards in uncertain sequences
Distributed frequent subgraph mining on evolving graph using SPARK
Using a Human Drug Network for generating novel hypotheses about drugs
RobustRepStream: Robust stream clustering using self-controlled connectivity graph
Futures price prediction modeling and decision-making based on DBN deep learning
Shape classification based on solid angles by a support vector machine
An enhanced network for brain MR image denoising
An efficient algorithm to maintain the discovered frequent sequences with record deletion
DistAl: An inter-pattern distance-based constructive learning algorithm
GA-stacking: Evolutionary stacked generalization
Uncertainty measures of interval-valued intuitionistic fuzzy soft sets and their applications in decision making
A parallel approach for the training stage of the Viola-Jones face detection algorithm
A detection of multi-level co-location patterns based on column calculation and HDBSCAN clustering
A non-binary hierarchical tree overlapping community detection based on multi-dimensional similarity
Attention mechanism based LSTM in classification of stressed speech under workload
Deceptive text detection using continuous semantic space models
An evolutionary approach to extreme individual impact opinions based on time sunk costs
Spatio-sequential patterns mining: Beyond the boundaries
Machine learning techniques for received signal strength indicator prediction
Analytical learning classifier based on predefined evenly-distributed class centroids
A fuzzy model for the representation and recognition of linguistically described trends
Trajectory personalization privacy preservation method based on multi-sensitivity attribute generalization and local suppression
Novelty detection with application to data streams
Identifying noisy features with the Pairwise Attribute Noise Detection Algorithm
Learning speed of supervised neural networks as similarity measurement in unsupervised cluster analysis
Unsupervised active learning techniques for labeling training sets: An experimental evaluation on sequential data
A comparison study on nonlinear dimension reduction methods with kernel variations: Visualization, optimization and classification
Extraction of unexpected sentences: A sentiment classification assessed approach
Adaptive delivery of E-commerce web sites
Mining sequences in activities for time use analysis
Stacked collaborative transformer network with contrastive learning for video moment localization
Satellite data processing for meteorological nowcasting and very short range forecasting using neural networks
Particle swarm optimization pattern recognition neural network for transmission lines faults classification
A feature selection strategy for improving software maintainability prediction
A graph-based clustering algorithm in large transaction databases
Microblog oriented interest extraction with both content and network structure
Using genetic algorithms for attribute grouping in multivariate microaggregation
Second-order uncertainty calculations by using the imprecise Dirichlet model
ADAW: Age decay accuracy weighted ensemble method for drifting data stream mining
List sampling for large graphs
Fast classification for large data sets via random selection clustering and Support Vector Machines
Subspace k-anonymity algorithm for location-privacy preservation based on locality-sensitive hashing
Comparative analysis of epidemic public opinion and policies in two regions of China based on big data
Data mining in software engineering
A framework to monitor clusters evolution applied to economy and finance problems
Using statistical tools to determine the significance and relative importance of the main parameters of an evolutionary algorithm
Input dependent prediction intervals for supervised regression
Active learning for ordinal classification on incomplete data
Q * -based state abstraction and knowledge discovery in reinforcement learning
Virtual samples based robust block-diagonal dictionary learning for face recognition
Membrane computing inspired feature selection model for microarray cancer data
An outlier ensemble for unsupervised anomaly detection in honeypots data
Relational methodology for data mining and knowledge discovery
Interactive state-transition diagrams for visualization of multimodal annotation
Distributed matrix completion for large-scale multi-label classification
A text mining system for deviation detection in financial documents
Mining frequent items in a stream using flexible windows
Content boosted hybrid filtering for solving pessimistic user problem in recommendation systems
Mining consumer product data via latent semantic indexing
The overlapping community discovery algorithm based on the local interaction model
MD-SPKM: A set pair k-modes clustering algorithm for incomplete categorical matrix data
Cross-community shortcut detection based on network representation learning and structural features
Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm
Detecting a multigranularity event in an unequal interval time series based on self-adaptive segmenting
Improved over-sampling techniques based on sparse representation for imbalance problem
Research on the artistic form and image expression effect of public sculpture based on intelligent and parametric design
Searching for interacting features in subset selection
Sequential learning in neural networks: A review and a discussion of pseudorehearsal based methods
Utilizing Recurrent Neural Network for topic discovery in short text scenarios
Knowledge discovery in ontologies
LDA-based probabilistic graphical model for excitation-emission matrices
A grouping feature selection method based on feature interaction
Products ranking through two-stage online customer reviews information
SOM-based data visualization methods
HSNF: Hybrid sampling with two-step noise filtering for imbalanced data classification
Performance of data resampling methods for robust class discovery based on clustering
Unsupervised learning of textual pattern based on Propagation in Bipartite Graph
Incremental learning and concept drift in INTHELEX
Improving information retrieval system performance by combining different text-mining techniques
Image-mapped data clustering: An efficient technique for clustering large data sets
Editior-in-Chief: Welcome to Volume 3(3) of Intelligent Data Analysis journal!
Multi-instance positive and unlabeled learning with bi-level embedding
Knowledge representation and reasoning based on entity and relation propagation diagram/tree
Evolutionary approach for automated component-based decision tree algorithm design
Deep spatial-temporal fusion network for fine-grained air pollutant concentration prediction
Classification with sparse grids using simplicial basis functions
Mining semantic trajectories
Quaternion support vector classifier
Knowledge discovery from data streams
A Relief-PGS algorithm for feature selection and data classification
Synthetic dataset generator for anomaly detection in a university environment
Multiple-local feature and attention fused person re-identification method
Hybridization of population-based ant colony optimization via data mining
Social community evolution by combining gravitational relationship with community structure
Canal-LASSO: A sparse noise-resilient online linear regression model
A local search approach for generating directional data
Discovering numeric laws, a case study: CO_2 fugacity in the ocean
Extending twin support vector machine classifier for multi-category classification problems
Cross-modality semantic guidance for multi-label image classification
A general framework for multi-label learning towards class correlations and class imbalance
Graph convolutional networks-based robustness optimization for scale-free Internet of Things
An exploration of learning when data is noisy and imbalanced
LSEC: Large-scale spectral ensemble clustering
A variant of n-gram based language- independent text categorization
A graphical approach for multiclass classification and for correcting the labeling errors in mislabeled training data
Knowledge graph embedding with entity attributes using hypergraph neural networks
CAR-NF: A classifier based on specific rules with high netconf
Experimenting switching hybrid recommender systems
New dynamic clustering approaches within belief function framework
An inner-inter city graph neural network for predicting the course of COVID-19 cases
Bayesian exploratory clustering with entropy Chinese restaurant process
Improving process discovery by filtering noises based on event dependency
Mining constraint-based patterns using automatic relaxation
Multi-view hybrid recommendation model based on deep learning
A pharmachain IoT with internal attack classification framework using PBFT-MI-RIB-RBF technique in healthcare
Mutual information-based multi-output tree learning algorithm
Evaluating association rules and decision trees to predict multiple target attributes
An agglomerative hierarchical clustering approach to identify coexisting bacteria in groups of bacterial vaginosis patients
Identifying longevity profiles from longitudinal data through factor analysis and biclustering
Optimized aggregation function in hierarchical clustering combination
Label noise detection under the noise at random model with ensemble filters
Bayesian regression mixtures of experts for geo-referenced data
A novel approach for hiding sensitive utility and frequent itemsets
Formal structures for data mining, knowledge discovery and communication in a knowledge management environment
An approach to predicting bowing control parameter contours in violin performance
Semantics-based oversampling for imbalanced named entity recognition datasets using Word2Vec embeddings
Event-related desynchronization detection and electroencephalography motor imagery classification using vision transformer
Selective fusion of heterogeneous classifiers
Editing the nearest feature line classifier
Stable top-k periodic high-utility patterns mining over multi-sequence
Reinforcement learning based metric filtering for evolutionary distance metric learning
Handling incomplete data classification using imputed feature selected bagging (IFBag) method
An integrated model based on feedforward neural network and Taylor expansion for indicator correlation elimination
Multi-face tracking based on spatio-temporal detections
An adaptive genomic difference based genetic algorithm and its application to memetic continuous optimization
Unsupervised event exploration from social text streams
Summary SQL - A Fuzzy Tool For Data Mining
Bag of little bootstraps on features for enhancing classification performance
A lightweight vision transformer with symmetric modules for vision tasks
An efficient heuristic approach for learning a set of composite graph classification rules
Identifying relevant features of CSE-CIC-IDS2018 dataset for the development of an intrusion detection system
Learning traffic as videos: A spatio-temporal VAE approach to periodic traffic raster data imputation
Selecting representative examples and attributes by a genetic algorithm
A parameter-free approach for one-class classification using binary decision diagrams
An incremental approach for maintaining functional dependencies
Hybrid outlier detection (HOD) method in sensor data for human activity classification
ABSOD: Attention based small object detector for outfalls inspection in aerial images
Entropy-based link selection strategy for multidimensional complex networks
Data stream dynamic clustering supported by Markov chain isomorphisms
Wisdom of Crowds cluster ensemble
The search of conditional outliers
IMPUT: An Interactive Learning Tool Based on Program Specialization
Efficient frequent subgraph mining on large streaming graphs
Safe co-training for semi-supervised regression
Financial distress prediction using SVM ensemble based on earnings manipulation and fuzzy integral
Multi-label text classification based on the label correlation mixture model
Visualization of evolutionary computation processes from a population perspective
Source code-based defect prediction using deep learning and transfer learning
Operative assessment of predicted generalization errors on non-stationary distributions in data-intensive applications
Combining statistical data analysis techniques to extract topical keyword classes from corpora
Building neural network forecasting models from time series ARIMA models: A procedure and a comparative analysis
Unifying attentive sparse autoencoder with neural collaborative filtering for recommendation
ViSSR: A visual analytics system for student high-order social relationships at campus
A deep learning-based neural style transfer optimization approach
A system for analysis and prediction of electricity-load streams
Box search for the data mining of the key parameters of an industrial process
Topic discovery from short reviews based on data enhancement
Aggregation and maintenance for database mining
Exploring data augmentation techniques for advancing emotion recognition in text - An ANOVA-RFE fusion approach with emotion fusion ensemble
Indirect sensing through abstractive learning
Detecting graph-based spatial outliers
Functional characterization of drug-protein interactions network
Cluster analysis via projection onto convex sets
A comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines
A Review of the Fourteenth International Conference on Machine Learning
Three alternative combinatorial formulations of the theory of evidence
Wide & deep generative adversarial networks for recommendation system
Fuzzy Krill Herd (FKH): An improved optimization algorithm
An overview of clustering methods
Explaining rifle shooting factors through multi-sensor body tracking
Mining Twitter data for crime trend prediction
Learning of indiscriminate distributions of document embeddings for domain adaptation
Improved learning in human evolutionary systems with dynamic contrastive learning
An integrative framework for brain tumor segmentation and classification using neuraclassnet
Robust intuitionistic fuzzy clustering with bias field estimation for noisy image segmentation
Improving case-based reasoning in solving optimization problems using Bayesian optimization algorithm
Supervised evaluation of Voronoi partitions
Towards reinforcement learning for holonic multi-agent systems
Variational autoencoder-based outlier detection for high-dimensional data
A novel deep learning framework for the identification of tortuous vessels in plus diseased infant retinal images
Metric learning for semi-supervised clustering using pairwise constraints and the geometrical structure of data
Optimal bin number for equal frequency discretizations in supervized learning
Efficient modal-aware feature learning with application in multimodal hashing
Neuronal principal component analysis for an optimal representation of multispectral images
A review of feature selection techniques in sentiment analysis
Embedding of the Hamming space into a sphere with weighted quadrance metric and c-means clustering of nominal-continuous data
Efficacy of the confinement policies on the COVID-19 spread dynamics in the early period of the pandemic
Knowledge discovery of frequent itemsets with low utility for revenue analysis
Heterogeneous information fusion based graph collaborative filtering recommendation
Multi-strategy improved African Vulture Optimization Algorithm for global optimization and engineering design problems
Toward accurate dynamic time warping in linear time and space
Optimal estimates for short horizon travel time prediction in urban areas
Detecting concept drift: An information entropy based method using an adaptive sliding window
Scaling up the hybrid Particle Swarm Optimization algorithm for nominal data-sets
A consistency-based validation for data clustering
Discovery of multivalued dependencies from relations
An event set approach to sequence discovery in medical data
An algebraic method for compressing symbolic data tables
An improved genetic algorithm adopting immigration operator
W-MMP2Vec: Topic-driven network embedding model for link prediction in content-based heterogeneous information network