yusuke1997/dblp-id-title huggingface dataset:
A Hybrid Fragmentation Approach for Distributed Deductive Database Systems
Agents in E-Commerce: State of the Art
Decoding user satisfaction: explainable artificial intelligence-based user-centric analysis of mobile health applications adoption
Automated and weighted self-organizing time maps
Measuring similarity of users with qualitative preferences for service selection
Query-based denormalization using hypergraph (QBDNH): a schema transformation model for migrating relational to NoSQL databases
Clustering uncertain trajectories
Automatic feature selection for supervised learning in link prediction applications: a comparative study
CoMMA: a framework for integrated multimedia mining using multi-relational associations
Data stream classification with novel class detection: a review, comparison and challenges
Fuzzy clustering analysis for the loan audit short texts
Interactive SPARQL query formulation using provenance
Mining exceptional relationships with grammar-guided genetic programming
MDL-based time series clustering
Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data
Convolution neural network-AlexNet with gazelle optimization algorithm-based software defect prediction
Mutual information-based retrieval-augmented generation for domain question answering
BPF: a novel cluster boundary points detection method for static and streaming data
An Intelligent Information System for Organizing Online Text Documents
Efficient mining of skyline objects in subspaces over data streams
A knowledge encapsulation approach to ontology modularization
A semantical framework for hybrid knowledge bases
An improved method of locality-sensitive hashing for scalable instance matching
On the use of hierarchical information in sequential mining-based XML document similarity computation
An integration of fuzzy association rules and WordNet for document clustering
Decision support for personalized hospital choice using the DEX hierarchical model with SMAA
AMAdam: adaptive modifier of Adam method
AsyIter: tolerating computational skew of synchronous iterative applications via computing decomposition
Using knowledge-based relatedness for information retrieval
Ultra-fast meta-parameter optimization for time series similarity measures with application to nearest neighbour classification
Advancements in automated program repair: a comprehensive review
A topic-biased user reputation model in rating systems
Advancing traffic object detection in complex environments: a deep learning object detection approach with vehicle-mounted UAV data for traffic scene perception
Correction: Estimating time series averages from latent space of multi-tasking neural networks
Enhancing minority data generation through optimization in imbalanced datasets
Early portfolio pruning: a scalable approach to hybrid portfolio selection
Garden: a real-time processing framework for continuous top-k trajectory similarity search
SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information
Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect
Finding cohesive clusters for analyzing knowledge communities
An Artificial Network Simulating Cause-to-Effect Reasoning: Cancellation Interactions and Numerical Studies
Process mining on sensor data: a review of related works
An order-sorted query system for sort, predicate, and meta-predicate hierarchies
Big data in transportation: a systematic literature analysis and topic classification
Semi-automated schema integration with SASMINT
A modified gravitational search algorithm based on sequential quadratic programming and chaotic map for ELD optimization
Similarity measures for time series data classification using grid representation and matrix distance
DMHUPS: Discovering Multiple High Utility Patterns Simultaneously
A new approach to neutrosophic soft rough sets
Ontology driven search of compound IDs
Toward fair graph neural networks via real counterfactual samples
Community detection in social networks using machine learning: a systematic mapping study
RGV2: A Framework for crypto-ransomware detection using FastText and neural networks
Application of genetic algorithm-based intuitionistic fuzzy weighted c-ordered-means algorithm to cluster analysis
A new transfer learning framework with application to model-agnostic multi-task learning
Inter-class margin climbing with cost-sensitive learning in neural network classification
Intent mining in search query logs for automatic search script generation
PCA-based drift and shift quantification framework for multidimensional data
On the use of the descriptive variable for enhancing the aggregation of crowdsourced labels
Capabilities of outlier detection schemes in large datasets, framework and methodologies
A novel ensemble-based wrapper method for feature selection using extreme learning machine and genetic algorithm
Boosted ranking models: a unifying framework for ranking predictions
Feature extraction for chart pattern classification in financial time series
Online sales prediction via trend alignment-based multitask recurrent neural networks
Fairness with censorship and group constraints
λ-LGP: an improved version of linear genetic programming evaluated in the Ant Trail problem
Impact of query intent and search context on clickthrough behavior in sponsored search
An ant-based approach to cluster peers in P2P database systems
Consistent updating of databases with marked nulls
Constraining acyclicity of differentiable Bayesian structure learning with topological ordering
Prediction of corn futures prices with decomposition and hybrid deep learning models
A path-based distance computation for non-convexity with applications in clustering
Making Database Schema Hierarchical for Visual Access to Databases
Information-preserving abstractions of event data in process mining
Online and Customizable Fairness-aware Learning
A generic MOT boosting framework by combining cues from SOT, tracklet and re-identification
Utilizing electronic health records to predict multi-type major adverse cardiovascular events after acute coronary syndrome
Tweet-scan-post: a system for analysis of sensitive private data disclosure in online social media
Falcon: lightweight and accurate convolution based on depthwise separable convolution
Effective semi-supervised document clustering via active learning with instance-level constraints
Sentiment analysis using semantic similarity and Hadoop MapReduce
COOT optimization algorithm on training artificial neural networks
Exact indexing of dynamic time warping
LC-mine: a framework for frequent subgraph mining with local consistency techniques
Domino drift effect approach for probability estimation of feature drift in high-dimensional data
Summarization - compressing data into an informative representation
Adversarial enhanced attributed network embedding
Restoring coverage to the Bayesian false discovery rate control procedure
An effective and interpretable method for document classification
Random walk-based ranking in signed social networks: model and algorithms
Two-layered Blogger identification model integrating profile and instance-based methods
Catch the moment: maintaining closed frequent itemsets over a data stream sliding window
An Axiom Foundation for Uncertain Reasonings in Rule-Based Expert Systems: NT-Algebra
Agent-Based Infrastructure and an Application to Internet Information Gathering
A label propagation community discovery algorithm combining seed node influence and neighborhood similarity
A benchmarking tool for the generation of bipartite network models with overlapping communities
On link privacy in randomizing social networks
Topic-dependent relation prediction in argument mining: ternary classification
Avoiding toxicity and prejudice in chatbots with knowledge distillation
Knowledge-based vector space model for text clustering
An overview on subgroup discovery: foundations and applications
PISRuleGrowth: mining periodic intra-sequential rules common to multiple sequences
Hybrid Henry gas solubility optimization and the equilibrium optimizer for feature selection: real cases with Twitter spam detection
A survey of methods for time series change point detection
Incremental communication patterns in online social groups
Transfer alignment network for blind unsupervised domain adaptation
Ontological reasoning for improving the treatment of emotions in text
A graph-theoretic approach to optimize keyword queries in relational databases
Early classification on time series
Interactive visual exploration of association rules with rule-focusing methodology
Big high-dimension data cube designs for hybrid memory systems
High-throughput and scalable protein function identification with Hadoop and Map-only pattern of the MapReduce processing model
Information extraction from electronic medical documents: state of the art and future research directions
Multi-strategies improved coati optimization algorithm and performance analysis
Correction: An analysis of large language models: their impact and potential applications
Seq2EG: a novel and effective event graph parsing approach for event extraction
Rough filters based on residuated lattices
Fast classification of univariate and multivariate time series through shapelet discovery
Neighborhood rough set with neighborhood equivalence relation for feature selection
Representation and analysis of enterprise models with semantic techniques: an application to ArchiMate, e3value and business model canvas
Continual text classification based on knowledge distillation and class-aware experience replay
Surfacing code in the dark: an instant clone search approach
Non-redundant data clustering
A mathematical model of the hidden feedback loop effect in machine learning systems
Distributed reasoning with coupled ontologies: the E-SHIQ representation framework
A sparse $${\varvec{L}}_{2}$$ -regularized support vector machines for efficient natural language learning
SEGODE: a structure-enhanced graph neural ordinary differential equation network model for temporal link prediction
Lazy learning and sparsity handling in recommendation systems
EvoMiner: frequent subtree mining in phylogenetic databases
gMLC: a multi-label feature selection framework for graph classification
Query directed clustering
A novel contrastive multi-view framework for heterogeneous graph embedding
An information gain-based approach for recommending useful product reviews
Imprecise prior knowledge incorporating into one-class classification
Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm
Instruction-tuned generative AI for disability access: a comparative evaluation using cosine similarity
Embedding text-rich graph neural networks with sequence and topical semantic structures
Self-taught support vector machines
Cluster ranking with an application to mining mailbox networks
Top-K Miner: top-K identical frequent itemsets discovery without user support threshold
EcoLight+: a novel multi-modal data fusion for enhanced eco-friendly traffic signal control driven by urban traffic noise prediction
Learning patterns for discovering domain-oriented opinion words
Agents' model of uncertainty
A review of task scheduling based on meta-heuristics approach in cloud computing
Tuple MapReduce and Pangool: an associated implementation
An in-depth analysis of KernelSHAP and SamplingSHAP: assessing robustness, error, and efficiency
An efficient computational offloading framework using HAA optimization-based deep reinforcement learning in edge-based cloud computing architecture
Learning to rank under uncertainty: a robust neural approach
Beyond pairwise relationships: a transformer-based hypergraph learning approach for fraud detection
Asymptotic Dynamic Time Warping calculation with utilizing value repetition
Feature Selection Using the Domain Relationship with Genetic Algorithms
Ensuring the privacy of data in modern healthcare systems using adaptive encryption technique and disease prediction via attention-based residual DenseNet with GRU
Skyline distance: a measure of multidimensional competence
Graph relation embedding network for click-through rate prediction
Scalable algorithms for locally low-rank matrix modeling
A joint optimization framework for better community detection based on link prediction in social networks
Exploring demographic information in social media for product recommendation
PISAGOR: a proactive software agent for monitoring interactions
Multiple labels associative classification
Intelligent data structures selection using neural networks
Forgetting techniques for stream-based matrix factorization in recommender systems
Noise-free sampling with majority framework for an imbalanced classification problem
Subgroup fairness based on shared counterfactuals
An AHP-based approach toward enterprise architecture analysis based on enterprise architecture quality attributes
Distribution-free bounds for relational classification
Parallel randomized sampling for support vector machine (SVM) and support vector regression (SVR)
A clustering approach for sampling data streams in sensor networks
Real time prediction of closing price and duration of B2B reverse auctions
Mixed graph neural network for session-based recommendation with category-aware noise filtering
Emergency management using geographic information systems: application to the first Romanian traveling salesman problem instance
Hashtag recommendation for short social media texts using word-embeddings and external knowledge
Online mining of frequent sets in data streams with error guarantee
Outcome aware ranking in value creation networks
Generalized Affinity-Based Association Rule Mining for Multimedia Database Queries
Sentiment-oriented contextual advertising
A study on using data clustering for feature extraction to improve the quality of classification
Emergence of divisional cooperation with negotiation and re-learning and evaluation of flexibility in continuous cooperative patrol problem
WebSail: From On-line Learning to Web Search
DisGeReExT: a knowledge discovery system for exploration of disease-gene associations through large-scale literature-wide analysis study
Embedding new data points for manifold learning via coordinate propagation
GC-PTransE: multi-step attack inference method based on graph convolutional neural network and translation embedding
Improving out-of-distribution detection by enforcing confidence margin
Estimating average precision when judgments are incomplete
A software trustworthiness evaluation model using objective weight based evidential reasoning approach
Wrapper positive Bayesian network classifiers
Leader-aware community detection in complex networks
Differentially private multidimensional data publishing
Multi-layer linear embedding with feature subset selection
Text augmentation method with adjustable manipulation intensity based on in-context learning
Sequential latent Dirichlet allocation
Patent retrieval: a literature review
Exploring the wild birds' migration data for the disease spread study of H5N1: a clustering and association approach
Providing and evaluating a model for big data anonymization streams by using in-memory processing
A system for relevance analysis of performance indicators in higher education using Bayesian networks
A distributed approach to enabling privacy-preserving model-based classifier training
DyLPA: a dynamic label propagation algorithm for detecting evolving communities
Towards a Model of Learning through Communication
A new ontology-based similarity approach for measuring caching coverages provided by mediation systems
Modeling semantics in composite Web service requests by utility elicitation
Framework for extreme imbalance classification: SWIM - sampling with the majority class
Diagnostic captioning: a survey
Modeling and exploiting tag relevance for Web service mining
A novel quasi-oppositional chaotic student psychology-based optimization algorithm for deciphering global complex optimization problems
Practical characterization of large networks using neighborhood information
Vertical federated learning: a structured literature review
Supervised kernel-based multi-modal Bhattacharya distance learning for imbalanced data classification
Anomaly detection in the context of long-term cloud resource usage planning
The MASSIF platform: a modular and semantic platform for the development of flexible IoT services
Disk aware discord discovery: finding unusual time series in terabyte sized datasets
Rule-based composite event queries: the language XChange EQ and its semantics
Neighborhood system S-approximation spaces and applications
A feature location approach supported by time-aware weighting of terms associated with developer expertise profiles
Multilabel classification using crowdsourcing under budget constraints
Ambiguity in information systems: rows, columns, and the Ellsberg paradox
Knowledge-based interaction protocols for intelligent interactive environments
EAFIM: efficient apriori-based frequent itemset mining algorithm on Spark for big transactional data
Learning to extract and summarize hot item features from multiple auction web sites
A multi-colony ant algorithm for optimizing join queries in distributed database systems
SumCR: A new subtopic-based extractive approach for text summarization
Model-based probabilistic frequent itemset mining
Hybrid long-range dependency-aware graph convolutional network for node classification
On efficiently summarizing categorical databases
Tuning structure learning algorithms with out-of-sample and resampling strategies
Graphlet decomposition: framework, algorithms, and applications
Rule induction for uncertain data
A hybrid sampling algorithm for imbalanced and class-overlap data based on natural neighbors and density estimation
Ensemble multi-view feature set partitioning method for effective multi-view learning
A systematic review on federated learning system: a new paradigm to machine learning
Partial-order-based process mining: a survey and outlook
Efficient unsupervised drift detector for fast and high-dimensional data streams
Task-oriented and attractor regularized multi-task learning for environmental spatial-temporal time series prediction
A review of feature selection methods on synthetic data
A novel position attention-based convolutional bidirectional-gated network for text relation classification
Mining user access patterns with traversal constraint for predicting web page requests
A transformer-based deep reinforcement learning for the Dial-a-Ride problem
A formal analysis of malfunctions based on an ontology of causation
Motif-guided heterogeneous graph deep generation
Density of states for fast embedding node-attributed graphs
MHAM: a novel framework for multimodal sentiment analysis in memes
Self-supervised relation extraction from the Web
Large-scale k -means clustering with user-centric privacy-preservation
A formal framework to represent spatial knowledge
On the choice of the best imputation methods for missing values considering three groups of classification methods
Parity-based cumulative fairness-aware boosting
Discovering correlated spatio-temporal changes in evolving graphs
Twitter sentiment analysis using ensemble of multi-channel model based on machine learning and deep learning techniques
A systematic framework of predicting customer revisit with in-store sensors
Indexed list-based high utility pattern mining with utility upper-bound reduction and pattern combination techniques
Leveraging hierarchy-aware diffusion model and knowledge-enhanced contrastive learning for recommendation
Context-aware multiagent system: Planning home care tasks
Event-based summarization using a centrality-as-relevance model
TagClus : a random walk-based method for tag clustering
MICAR: nonlinear association rule mining based on maximal information coefficient
An efficient concept-based retrieval model for enhancing text retrieval quality
Distance approximation techniques to reduce the dimensionality for multimedia databases
A modified adaptive differential evolution algorithm for color image segmentation
Efficient multi-attribute precedence-based task scheduling for edge computing in geo-distributed cloud environment
Range-constrained probabilistic mutual furthest neighbor queries in uncertain databases
Attributed graph mining in the presence of automorphism
A smart Alzheimer's patient monitoring system with IoT-assisted technology through enhanced deep learning approach
A novel density peaks clustering with sensitivity of local density and density-adaptive metric
Multi-factor stock price prediction based on GAN-TrellisNet
D2S: Document-to-sentence framework for novelty detection
MIN: multi-dimensional interest network for click-through rate prediction
Saliency-based YOLO for single target detection
A semi-supervised approach to sentiment analysis using revised sentiment strength based on SentiWordNet
Similarity join on time series by utilizing a dynamic segmentation index
An integrated approach using IF-TOPSIS, fuzzy DEMATEL, and enhanced CSA optimized ANFIS for software risk prediction
FedTPS: traffic pattern sharing for personalized federated traffic flow prediction
Efficient clustering-based source code plagiarism detection using PIY
Explaining prediction models and individual predictions with feature contributions
Spatio-temporal neural networks for space-time data modeling and relation discovery
Towards personalised web intelligence
Building semantic kernels for cross-document knowledge discovery using Wikipedia
CTVAE: Contrastive Tabular Variational Autoencoder for imbalance data
User-centric query refinement and processing using granularity-based strategies
Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization
TEG-a hybrid approach to information extraction
Pest Control Expert System for Tomato (PCEST)
An effective neural network and fuzzy time series-based hybridized model to handle forecasting problems of two factors
An automatic extraction method of the domains of competence for learning classifiers using data complexity measures
Schema Evolution in Data Warehouses
Navigating beyond backpropagation: on alternative training methods for deep neural networks
Formal foundations for RDF/S KB evolution
Protecting business intelligence and customer privacy while outsourcing data mining tasks
Finding the most unusual time series subsequence: algorithms and applications
Mining temporal attack patterns from cyberthreat intelligence reports
Applying language modeling to session identification from database trace logs
LLM-KGMQA: large language model-augmented multi-hop question-answering system based on knowledge graph in medical field
Bionic knowledge and information reuse methodology for uncertainty minimization in product design
Hubness-aware shared neighbor distances for high-dimensional $$k$$ -nearest neighbor classification
A new privacy-preserving approach for publishing periodical reporting systems data
PGLCM: efficient parallel mining of closed frequent gradual itemsets
A hybrid neural network approach to combine textual information and rating information for item recommendation
Fuzzy emerging patterns for classifying hard domains
Finding associations and computing similarity via biased pair sampling
Enhancing unsupervised domain adaptation by discriminative relevance regularization
Online learning with social computing based interest sharing
Efficient itinerary recommendation via personalized POI selection and pruning
Self-supervised multi-hop heterogeneous hypergraph embedding with informative pooling for graph-level classification
Exploring structure-aware representation learning for automated essay scoring
Use of RDF for expertise matching within academia
Robust anomaly detection via adversarial counterfactual generation
A multi-view mask contrastive learning graph convolutional neural network for age estimation
Relational metric learning with high-order neighborhood interactions for social recommendation
A compact multi-resolution index for variable length queries in time series databases
X-HEART: eXplainable heterogeneous log anomaly detection using robust transformers