yusuke1997/dblp-id-title huggingface dataset:
A novel approach to energy-aware resource management: Toward green NOMA heterogeneous networks
Identifying user sessions from web server logs with integer programming
Differential evolution algorithm-based multiple-factor optimization methods for data assimilation
Learning to transfer knowledge from RDF Graphs with gated recurrent units
Decision variables to be discovered in modelling high-dimensional omics data for cancer studies
Improving data quality with label noise correction
Decision trees for ordinal classification
AD-Miner: A new incremental method for discovery of minimal approximate dependencies using logical operations
Plant leaf recognition with shallow and deep learning: A comprehensive study
Cluster-Indistinguishability: A practical differential privacy mechanism for trajectory clustering
Map building without localization by estimation of inter-feature distances
Mining association rules from quantitative data
Fast algorithm for high utility pattern mining with the sum of item quantities
A data mining based method for web site maintenance
Multidimensional skyline analysis based on agree concept lattices
A multiple hierarchical clustering ensemble algorithm to recognize clusters arbitrarily shaped
Joint learning of ontology and semantic parser from text
Automated defect inspection and classification of leather fabric
A simple regression based heuristic for learning model trees
Adaptive Bayesian network classifiers
Distributed anomaly detection, using cooperative learners and association rule analysis
VMD-LSTM-BMA: A hybrid model for enhancing fresh food sales forecasting and uncertainty estimation
Differential privacy preserving clustering based on Haar wavelet transform
MusicNeXt: Addressing category bias in fused music using musical features and genre-sensitive adjustment layer
Behaviour of protein secondary structure types in the sequence space of a certain length
Modeling the diversity and log-normality of data
An adaptive node embedding framework for multiplex networks
Learning probabilistic real-time automata from multi-attribute event logs
Evolutionary refinement approaches for band selection of hyperspectral images with applications to automatic monitoring of animal feed quality
Spatio-Temporal Sensor Graphs (STSG): A data model for the discovery of spatio-temporal patterns
A plan classifier based on Chi-square distribution tests
Evaluating noise elimination techniques for software quality estimation
Active learning support vector machines with low-rank transformation
Collaborative filtering recommendation algorithm based on user fuzzy similarity
Domain knowledge based segmentation of online banking customers
Time series: Empirical characterization and artificial neural network-based selection of forecasting techniques
Web outlier mining: Discovering outliers from web datasets
Searching for high-support itemsets in itemset trees
An improved hybrid structure learning strategy for Bayesian networks based on ensemble learning
A novel multimedia data mining framework for information extraction of a soccer video stream
Bilingual generated text detection through semantic and statistical analysis
Automatically estimating iSAX parameters
Quantum-behaved particle swarm optimization with dynamic grouping searching strategy
Reduce or remove: Individual sensor reliability profiling and data cleaning
Improving Random Forest and Rotation Forest for highly imbalanced datasets
An approach for unsupervised contextual anomaly detection and characterization
Scalable and practical One-Pass clustering algorithm for recommender system
A scalable community detection algorithm for large graphs using stochastic block models
DDREL: From drug-drug relationships to drug repurposing
Generalized rough sets based feature selection
Extending the hybridization of metaheuristics with data mining: Dealing with sequences
Improving multi-label learning by modeling Local label and feature correlations
DNN models based on dimensionality reduction for stock trading
A Tabu Clustering algorithm for Intrusion Detection
Ensembles of classifiers based on dimensionality reduction
TPPG: Privacy-preserving trajectory data publication based on 3D-Grid partition
Genetic algorithm and optimized weight matrix application for peroxisome proliferator response elements recognition: Prerequisites of accuracy growth for wide genome research
Efficient instance-based learning on data streams
Real-time adaptive fuzzy density clustering for multi-target data association
Possibilistic Testing of Distribution Functions for Change Detection
Unsupervised categorization of human motion sequences
Measuring similarity of graph nodes by neighbor matching
Mining high utility itemsets for transaction deletion in a dynamic database
Location prediction for facility placement by incorporating multi-characteristic information
Distant supervision of relation extraction in sparse data
Differential privacy preserving clustering in distributed datasets using Haar wavelet transform
A discrete equilibrium optimization algorithm for breast cancer diagnosis
Maximum likelihood parameter estimation of dynamic systems by heuristic swarm search
PROMETHEUS: Technology for rapid development of biological databases
The GridOPTICS clustering algorithm
Ubiquitous Knowledge Discovery
Boosting active domain adaptation with exploration of samples
Using string kernels to identify famous performers from their playing style
Anomaly detection in data represented as graphs
Fuzzy c-Least Medians clustering for discovery of web access patterns from web user sessions data
A deep belief network based precipitation forecast approach using multiple environmental factors
Some novel probabilistic dual hesitant fuzzy information measures and their applications to multi-attribute decision-making
A domain density peak clustering algorithm based on natural neighbor
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences
Supporting bi-cluster interpretation in 0/1 data by means of local patterns
Ant colony optimization for text feature selection in sentiment analysis
Clustering with feature order preferences
Feature set decomposition for decision trees
Spatial-temporal trajectory anomaly detection based on an improved spectral clustering algorithm
Extraction of qualitative behavior rules for industrial processes from reduced concept lattice
Feature selection for aiding glass forensic evidence analysis
Post-analysis of multi-objective optimization solutions using decision trees
ELCA: Enhanced boundary location for Chinese named entity recognition via contextual association
A neural reordering model based on phrasal dependency tree for statistical machine translation
Semantic knowledge LDA with topic vector for recommending hashtags: Twitter use case
IMLBoost for intelligent diagnosis with imbalanced medical records
Advances in intelligent data analysis
Resformer: Combine quadratic linear transformation with efficient sparse Transformer for long-term series forecasting
Entity ranking using click-log information
An online adaptive classifier ensemble for mining non-stationary data streams
MAPK-means: A clustering algorithm with quantitative preferences on attributes
A time series approach to player churn and conversion in videogames
Using multiple windows to track concept drift
Rules for contrast sets
Estimating harmfulness of class imbalance by scatter matrix based class separability measure
Railway accidents analysis based on the improved algorithm of the maximal information coefficient
Statistical relational learning for workflow mining
Credit scoring for microfinance using behavioral data in emerging markets
Parameter evolution of the classifiers for disease diagnosis with offline data-driven hybrid systems
Instance-based classification with Ant Colony Optimization
A new approach to hierarchical clustering and structuring of data with Self-Organizing Maps
Ant colony algorithms for constructing Bayesian multi-net classifiers
Attribute graph clustering via transformer and graph attention autoencoder
A comparative analysis on the bisecting K-means and the PDDP clustering algorithms
Exploiting scatter matrix on one-class support vector machine based on low variance direction
Does independent component analysis perform well for iris recognition?
Identifying multi-variable relationships based on the maximal information coefficient
Automated error detection using association rules
Process data de-noising using wavelet transform
An efficient preprocessing stage for the relationship-based clustering framework
A probabilistic model selection criterion for spectral clustering
A random projection approach for estimation of the betweenness centrality measure
Online classification of nonstationary data streams
Piecewise-linear manifold learning: A heuristic approach to non-linear dimensionality reduction
Identification of fixations, saccades and smooth pursuits based on segmentation and clustering
Comparison and evaluation of source code mining tools and techniques: A qualitative approach
Fast rule extraction with binary-coded relations
Network anomaly detection by continuous hidden markov models: An evolutionary programming approach
Analyzing Discretizations of Continuous Attributes Given a Monotonic Discrimination Function
A lazy associative classifier for time series
Sampling from databases using B^+-Trees
Discovering descriptive rules in relational dynamic graphs
Mining maximal frequent patterns from univariate uncertain data
Density estimation of high dimensional data using ICA and Bayesian networks
A fast fuzzy K-nearest neighbour algorithm for pattern classification
A surface-based approach for classification of 3D neuroanatomic structures
A genetic algorithm for cluster analysis
Fuzzy-rough approaches for mammographic risk analysis
A strategy to estimate the optimal low-rank in incremental SVD-based algorithms for recommender systems
ToPoMine: A graph miner for analysis of atom-dynamics simulation data in material science
Mining census data for spatial effects on mortality
Towards symbolic mining of images with association rules: Preliminary results on textures
A weight-adjusted-voting framework on an ensemble of classifiers for improving sensitivity
Unsupervised density-based behavior change detection in data streams
A nearest neighborhood algebra for probabilistic databases
A coevolutionary approach to many objective optimization based on a novel ranking method
Genetic learner: Discretization and fuzzification of numerical attributes
An intrusion detection method based on active transfer learning
Entropy difference and kernel-based oversampling technique for imbalanced data learning
ATIN: Attention-embedded time-aware imputation networks for production data anomaly detection
Hiding collaborative recommendation association rules on horizontally partitioned data
Improving PART algorithm with K-L divergence for imbalanced classification
Combining regression models and metaheuristics to optimize space allocation in the retail industry
IGLUE: A lattice-based constructive induction system
Genre classification of music by tonal harmony
Toward an integrated framework for automated development and optimization of online advertising campaigns
A fast maintenance algorithm of the discovered high-utility itemsets with transaction deletion
An empirical comparison among quality measures for pattern based classifiers
A new algorithm for computing reducts based on the binary discernibility matrix
Improving discretization based pattern discovery for multivariate time series by additional preprocessing
Unsupervised feature extraction from multivariate time series for outlier detection
MeFiNet: Modeling multi-semantic convolution-based feature interactions for CTR prediction
Spectral clustering with adaptive similarity measure in Kernel space
A two-phase hybrid of semi-supervised and active learning approach for sequence labeling
Low-rank multi-view subspace clustering via adaptive weight
Supervised model-based visualization of high-dimensional data
Learning information diffusion model in a social network for predicting influence of nodes
Theoretical aspects of mapping to multidimensional optimal regions as a multi-classifier
Parallel double-layer prediction model construction and empirical analysis for enterprise credit assessment
Classification and filtering of spectra: A case study in mineralogy
Bond rating using support vector machine
Application research of credit fraud detection based on distributed rotation deep forest
Local morphological patterns for time series classification
Learning hierarchical embedding space for image-text matching
Answering ad-hoc continuous aggregate queries over data streams using Dynamic Prefix Aggregate Tree
Community detection in social network by using a multi-objective evolutionary algorithm
Frequent item set mining for sequential data: Synchrony in neuronal spike trains
Weighted approximate sequential pattern mining within tolerance factors
A heuristic algorithm for clustering rooted ordered trees
Classification-based prediction models for stock price index movement
Remote sensing image classification method based on improved ShuffleNet convolutional neural network
Multiple independent losses scheduling: A simple training method for deep neural networks
A tag-based recommender system using rule-based collaborative profile enrichment
A new perceptual evaluation method of video quality based on neural network
OCMiner: A density-based overlapping community detection method for social networks
Combined learning methods and mining complex data
Bariatric surgery performance: A predictive informatics case study
Unsupervised distance learning for extended self-organizing map and visualization of mixed-type data
Genetic algorithm-based optimized association rule mining for multi-relational data
From machine learning to knowledge discovery: Survey of preprocessing and postprocessing
Prediction of oil well production: A multiple-neural-network approach
Using graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs
Algorithms for mining frequent itemsets in static and dynamic datasets
Cascading randomized weighted majority: A new online ensemble learning algorithm
A reduction technique for nearest-neighbor classification: Small groups of examples
Modeling violin performances using inductive logic programming
Inductive learning from numerical and symbolic data: An integrated framework
Removing biases in unsupervised learning of sequential patterns
A hybrid fraud scoring and spike detection technique in streaming data
A novel density-based outlier detection method using key attributes
Quantitative predicting propagation breadth and depth of microblog users' forwarding behavior
A novel page ranking algorithm based on triadic closure and hyperlink-induced topic search
Interestingness measures for association rules within groups
Boosting strategy for classification
Weighted Instance Typicality Search (WITS): A nearest neighbor data reduction algorithm
The criterion of Kolmogorov-Smirnov for binary decision tree: Application to interval valued variables
IACN: Interactive attention capsule network for similar case matching
Enhancing software quality estimation using ensemble-classifier based noise filtering
Ensemble missing data techniques for software effort prediction
Weighted Bonferroni mean-based classifiers with factorization machines for binary classification
Biased transfer matching for less overlapping degree for unsupervised domain adaptation
Comparing state-of-the-art regression methods for long term travel time prediction
A new utility-emphasized analysis for stock trading rules
EDLRT: Entropy-based dummy variables logistic regression tree
Mining for weak periodic signals in time series databases
YONET: A Unified Model for Simultaneous Identification and Segmentation of Structures in Medical Images
Toward robust activity recognition: Hierarchical classifier based on Gaussian Process
Variable selection using support vector regression and random forests: A comparative study
Feature selection using a set based discrete particle swarm optimization and a novel feature subset evaluation criterion
A new loss function for robust classification
Optimization of association rule mining queries
Grid-based dynamic clustering with grid proximity measure
Fuzzy taxonomy, quantitative database and mining generalized association rules
Sampleformer: An efficient conformer-based Neural Network for Automatic Speech Recognition
Explainable threatening tweets identification using abstract meaning representation graph and pattern structure approaches
An efficient frequent pattern mining algorithm using a highly compressed prefix tree
A novel feature subset selection algorithm based on association rule mining
A new Chinese text clustering algorithm based on WRD and improved K-means
Efficient resource management for non-orthogonal multiple access: A novel approach towards green hetnets
Modified hierarchical genetic algorithm for relevance feedback in image retrieval
Atmospheric SO 2 pollutant prediction using mutual information based TCNN-GRU model for flue gas desulfurization process
Expectation maximization over binary decision diagrams for probabilistic logic programs
An improvement of FDR for edge detection by applying EM method
A framework for classifying breast cancer via heterogenetic attention mechanism and optimized feature selection
The effect of cooling functions on ensemble clustering using simulated annealing
Machine learning based car accident risk prediction for usage-based insurance
Self-training algorithm based on density peaks combining globally adaptive multi-local noise filter
A kernel-based Adaline for function approximation
Twitter sentiment analysis for the estimation of voting intention in the 2017 Chilean elections
Backward chaining rule induction
A novel adaptive k-NN classifier for handling imbalance: Application to brain MRI
Fingerprint classification based on subclass analysis using multiple templates of support vector machines
An intelligent approach to handle False-Positive Radio Frequency Identification Anomalies
An improved YOLOv3 model for detecting location information of ovarian cancer from CT images
Mining useful association rules from questionnaire data
Improving the performance of an incremental algorithm driven by error margins
A memory efficient semi-Naive Bayes classifier with grouping of cases
Efficient local search for L 1 and L 2 binary matrix factorization
An iterative self-training support vector machine algorithm in brain-computer interfaces
Profit optimizing customer churn prediction with Bayesian network classifiers
Robust mixture model-based clustering with genetic algorithm approach
Small object detection based on attention mechanism and enhanced network
Fault identification of rolling bearing based on improved salp swarm algorithm
Estimating Performance Gains for Voted Decision Trees
Multi-aspect multilingual and cross-lingual parliamentary speech analysis
Class noise detection using frequent itemsets
Guided node graph convolutional networks for repository recommendation
Possibilistic interest discovery from uncertain information in social networks
Causality-based cost-effective action mining
A systematic review of hyperparameter tuning techniques for software quality prediction models
A new method for hierarchical clustering combination
Apriori and GUHA - Comparing two approaches to data mining with association rules
Discovering high utility itemsets with multiple minimum supports
An adaptive simulated annealing and artificial fish swarm algorithm for the optimization of multi-depot express delivery vehicle routing
A metric for unsupervised metalearning
The Bilipschitz criterion for dimension reduction mapping design
Identifying latent variables in Dynamic Bayesian Networks with bootstrapping applied to Type 2 Diabetes complication prediction
Research on weight initialization of CNN student models based on knowledge distillation
OverDBC: A new density-based clustering method with the ability of detecting overlapped clusters from gene expression data
Task-specific word identification from short texts using a convolutional neural network
Deviation detection in text using conceptual graph interchange format and error tolerance dissimilarity function
Processing and optimized learning for improved classification of categorical plant disease datasets
Software understanding: Automatic classification of software identifiers
Quality indices for (practical) clustering evaluation
Impulsive noise filtering using a Median Redescending M-Estimator
A synergetic semantic role labeling model with the introduction of fluctuating force accompanied with word sense information
An efficient framework based on usage and semantic data for next page prediction
Link prediction algorithm based on the Choquet fuzzy integral
Robust face recognition based on a new Kernel-PCA using RRQR factorization
Automatic discovery of locally frequent itemsets in the presence of highly frequent itemsets
An algorithm to estimate the stability of the individual clusters in the hierarchical context
Combining advantages of new chromosome representation scheme and multi-objective genetic algorithms for better clustering
Index-CloseMiner: An improved algorithm for mining frequent closed itemset
Evolutionary model selection in unsupervised learning
On time series classification with dictionary-based classifiers
LFDA model for the assessment of water quality through Microtox® using excitation-emission matrices
Ensemble based on feature projection and under-sampling for imbalanced learning
Detecting manifold dependences of multivariate data with total correlation
A trimmed mean approach to finding spatial outliers
Comparing clustering solutions: The use of adjusted paired indices
Hybrid systems of local basis functions
A more time-efficient gibbs sampling algorithm based on SparseLDA for latent dirichlet allocation
Scalable data-driven modeling of spatio-temporal systems: Weather forecasting
Summarizing significant subgraphs by probabilistic logic programming
A comprehensive review of recursive Naïve Bayes Classifiers
Sequential prediction for imbalanced data stream via weighted OS-ELM and dynamic GAN
Enhancing 3D medical image registration with cross attention, residual skips, and cascade attention
The discovery of association rules from tabular databases comprising nominal and ordinal attributes
Boosting the differences: A fast Bayesian classifier neural network
Expectation maximization based ordering aggregation for improving the K2 structure learning algorithm
A novel feature selection method considering feature interaction in neighborhood rough set
Analyzing currency crises' real effects with partial least squares sensitivity analysis
Association mining in time-varying domains
Towards incremental classifier fusion
Development of a data generator for multivariate numerical data with arbitrary correlations and distributions
Using NLP for Machine Learning of User Profiles
On a new polynomial algorithm for solving NPC problems
Relevant subtask learning by constrained mixture models
Spatial outlier detection in heterogeneous neighborhoods
Online learning agents for cost-sensitive topical data acquisition from the web
De-noising documents with a novelty detection method utilizing class vectors
A comparative analysis of Bayesian network structure learning algorithms applied to crime data
Intelligent data integration from heterogeneous relational databases containing incomplete and uncertain information
Predicting burglars' risk exposure and level of pre-crime preparation using crime scene data
Finding longest frequent trajectory of dynamic objects using association approaches
Support vector class description (SVCD): Classification in kernel space
Multiclass spectral feature scaling method for dimensionality reduction
A spatial-temporal trajectory clustering algorithm for eye fixations identification
Community recommendation for text post in social media: A case study on Reddit
Representing and reasoning fuzzy spatio- temporal knowledge with description logics: A survey
Nearest neighbor classification from multiple feature subsets
The prediction of online time series with concept drift based on dynamic intuitionistic fuzzy cognitive map