yusuke1997/dblp-id-title huggingface dataset:
SPECTER-BS: effective citation recommendation using SPECTER with bibliographic scoring
Efficient healthcare data classification through gazelle-inspired optimization and multimodal deep learning
Evolving rule induction algorithms with multi-objective grammar-based genetic programming
ARP spoofing detection using machine learning classifiers: an experimental study
A survey on instance selection for active learning
Ontologies: How can They be Built?
Rule-based inference and decomposition for distributed in-network processing in wireless sensor networks
Using structural similarity for clustering XML documents
Taxonomic data integration from multilingual Wikipedia editions
A comprehensive survey of stream reasoning and its integration with knowledge graphs
Argumentation effect of a chatbot for ethical discussions about autonomous AI scenarios
Co-clustering of multi-view datasets
Geographic knowledge extraction and semantic similarity in OpenStreetMap
Exploiting interactions of review text, hidden user communities and item groups, and time for collaborative filtering
Reasoning with smart objects' affordance for personalized behavior monitoring in pervasive information systems
Deep dynamic neural networks for temporal language modeling in author communities
Extensible ontology-based views for business process models
A systematic survey on collaborator finding systems in scientific social networks
Information warfare: a lightweight matrix-based approach for database recovery
DRAL: a tool for discovering relevant e-activities for learners
A general insight into the effect of neuron structure on classification
Fast time intervals mining using the transitivity of temporal relations
Grier: graph repairing based on iterative embedding and rules
Measure prediction capability of data for collaborative filtering
Surface pattern-enhanced relation extraction with global constraints
HGSMAP: a novel heterogeneous graph-based associative percept framework for scenario-based optimal model assignment
Taking advantage of metadata semantics: the case of learning-object-based lesson graphs
FCloSM, FGenSM: two efficient algorithms for mining frequent closed and generator sequences using the local pruning strategy
Comparison of component frameworks for real-time embedded systems
Spectral evolution in dynamic networks
Flow Regime Algorithm (FRA): a physics-based meta-heuristics algorithm
Hybrid rules with well-founded semantics
An Efficient Density-based Approach for Data Mining Tasks
A graph-based meta-model for heterogeneous data management
Semantic trajectory-based event detection and event pattern mining
Clustering of time-series subsequences is meaningless: implications for previous and future research
Cross- and multiple-domains visual transfer learning via iterative Fischer linear discriminant analysis
Outsourcing analyses on privacy-protected multivariate categorical data stored in untrusted clouds
Introducing semantic variables in mixed distance measures: Impact on hierarchical clustering
The largest empty circle with location constraints in spatial databases
Collaboration prediction in heterogeneous academic network with dynamic structure and topic
Integrating spatio-temporal correlation and multi-modal preferences for next point-of-interest recommendation
Exploiting reciprocity toward link prediction
Recent developments in geographic information systems across different application domains: a review
Non-derivable itemsets for fast outlier detection in large high-dimensional categorical data
Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging
From raw publications to Linked Data
Evaluating knowledge management failure factors using intuitionistic fuzzy FMEA approach
Anytime mining of sequential discriminative patterns in labeled sequences
Automated contrastive optimization of class-based feature distribution for noncontinuous dataset
A survey on data stream clustering and classification
Cyclic Action Graphs for goal recognition problems with inaccurately initialised fluents
Performance evaluation of word-aligned compression methods for bitmap indices
Consensus-based evaluation framework for distributed information retrieval systems
Fast generation of sequential patterns with item constraints from concise representations
Cluster-based instance selection for machine classification
Information theoretic-PSO-based feature selection: an application in biomedical entity extraction
A hidden challenge of link prediction: which pairs to check?
DSIM: dynamic and static interest mining for sequential recommendation
Near-optimal Steiner tree computation powered by node embeddings
Wind speed parameters sensitivity analysis based on fractals and neuro-fuzzy selection technique
Active learning-based multi-armed bandits for recommendation systems
Robustness, stability, recoverability, and reliability in constraint satisfaction problems
Short text clustering by finding core terms
MedTSS: transforming abstractive summarization of scientific articles with linguistic analysis and concept reinforcement
Tree-based partitioning of date for association rule mining
High utility K-anonymization for social network publishing
An efficient node embedding approach via adaptive graph recurrent autoencoder with attention procedures
Supervised learning as an inverse problem based on non-smooth loss function
Contextual information fusion for intrusion detection: a survey and taxonomy
gRosSo: mining statistically robust patterns from a sequence of datasets
Discernibility matrix simplification with new attribute dependency functions for incomplete information systems
Interest-driven private friend recommendation
Data summarization: a survey
On the difficulty of automatically detecting irony: beyond a simple case of negation
A review on polyadic chatbots: trends, challenges, and future research directions
Effectiveness of NAQ-tree in handling reverse nearest-neighbor queries in high-dimensional metric space
Emerging skycube
RELINE: point-of-interest recommendations using multiple network embeddings
Partially ordered stochastic conformance checking
Subspace and projected clustering: experimental evaluation and analysis
Session-based recommendation with fusion of hypergraph item global and context features
On team formation with expertise query in collaborative social networks
A new approach for maximizing bichromatic reverse nearest neighbor search
A survey on extraction of causal relations from natural language text
Web user clustering and Web prefetching using Random Indexing with weight functions
Batch incremental processing for FP-tree construction using FP-Growth algorithm
Controlled permutations for testing adaptive learning models
FANNC: A Fast Adaptive Neural Network Classifier
DIS-C: conceptual distance in ontologies, a graph-based approach
AutoRepair: an automatic repairing approach over multi-source data
Clustering data streams using grid-based synopsis
A large margin time series nearest neighbour classification under locally weighted time warps
Hidden location prediction using check-in patterns in location-based social networks
vEye: behavioral footprinting for self-propagating worm detection and profiling
Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decomposition
An in-depth and contrasting survey of meta-heuristic approaches with classical feature selection techniques specific to cervical cancer
Optimizing the execution of XSLT stylesheets for querying transformed XML data
Proportional clustering-based undersampling for imbalanced data classification
CKRHE: a hierarchical embedding method for large-scale complex knowledge graphs
Mining follow-up correlation patterns from time-related databases
Adaptive graph contrastive learning with joint optimization of data augmentation and graph encoder
Locality preserving multimodal discriminative learning for supervised feature selection
From text to multimodal: a survey of adversarial example generation in question answering systems
Knowledge Discovery with Second-Order Relations
GrAFCI + A fast generator-based algorithm for mining frequent closed itemsets
Constraining and summarizing association rules in medical data
Top-k coupled keyword recommendation for relational keyword queries
Which is better? A modularized evaluation for topic popularity prediction
Statistical semantics for enhancing document clustering
A new accelerated proximal technique for regression with high-dimensional datasets
CAS-Mine: providing personalized services in context-aware applications by means of generalized rules
Evaluating the effectiveness of machine learning models for performance forecasting in basketball: a comparative study
Solving multi-instance problems with classifier ensemble based on constructive clustering
Exploring heterogeneous information networks and random walk with restart for academic search
CREDIFY: contextualized retrieval of evidence for open-domain fact verification
Dynamic evolution of causal relationships among cryptocurrencies: an analysis via Bayesian networks
Multi-label crowd consensus via joint matrix factorization
Semi-supervised feature selection with minimal redundancy based on group optimization strategy for multi-label data
SEREIA: document store exploration through keywords
D-Search : an efficient and exact search algorithm for large distribution sets
Ontology-based multiperspective requirements traceability framework
A comparative analysis of predictive process monitoring: object-centric versus classical event logs
Evaluating rule-based and generative data augmentation techniques for legal document classification
Product selection for promotion planning
Improving a multi-objective evolutionary algorithm to discover quantitative association rules
Study of select items in different data sources by grouping
Mobile Apps identification based on network flows
Fuzzy clustering-based discretization for gene expression classification
Understanding item consumption orders for right-order next-item recommendation
Multi-objective frequent termset clustering
Visual transformation for interactive spatiotemporal data mining
Progressive approaches to flexible group skyline queries
KNetwork: advancing cross-lingual sentiment analysis for enhanced decision-making in linguistically diverse environments
Data mining-based flatness pattern prediction for cold rolling process with varying operating condition
Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach
TAMTE: topic-attentive multimodal transformer encoder for hashtag recommendation
Enhancing multiple-choice question answering through sequential fine-tuning and Curriculum Learning strategies
Decision-making on pipe stress analysis enabled by knowledge-based systems
Partial multi-label learning with noisy side information
A turning point prediction method of stock price based on RVFL-GMDH and chaotic time series analysis
Ranking with decision tree
GoSum: extractive summarization of long documents by reinforcement learning and graph-organized discourse state
QoS-aware web service selection with negative selection algorithm
Reasoning subevent relation over heterogeneous event graph
Fraud detection via behavioral sequence embedding
A proposed real-time decision support platform for Moroccan fixed mining production systems
Rate of change analysis for interestingness measures
Modeling and predicting students' engagement behaviors using mixture Markov models
Vertex cover-based binary tree algorithm to detect all maximum common induced subgraphs in large communication networks
Improving clustering with pairwise constraints: a discriminative approach
A fuzzy approach for solving a critical benchmarking problem
A survey on context awareness in big data analytics for business applications
Tools and approaches for topic detection from Twitter streams: survey
Concept-evolution detection in non-stationary data streams: a fuzzy clustering approach
Correction: Local soft rough approximations and their applications to conflict analysis problems
Improving pattern quality in web usage mining by using semantic information
Ranking-based evaluation of regression models
Advanced intrusion detection in internet of things-driven health care with adaptive generative vision transformer network and generative vision transformers
Analysis and price prediction of cryptocurrencies for historical and live data using ensemble-based neural networks
Finding best evidence for evidence-based best practice recommendations in health care: the initial decision support system design
Deep reinforcement learning for community architectural layout generation
Integration of decision support systems to improve decision support performance
Knowledge-aware identity services
Subspace histograms for outlier detection in linear time
Histogram-based clustering of multiple data streams
Fast and memory efficient mining of high-utility itemsets from data streams: with and without negative item profits
A general framework for measuring inconsistency through minimal inconsistent sets
Monitoring e-commerce adoption from online data
K-Bloom: unleashing the power of pre-trained language models in extracting knowledge graph with predefined relations
HGCGE: hyperbolic graph convolutional networks-based knowledge graph embedding for link prediction
Partial materialization for online analytical processing over multi-tagged document collections
A hybrid approach for classification of rare class data
TSP: Mining top- k closed sequential patterns
Voting techniques for expert search
SPARCL: an effective and efficient algorithm for mining arbitrary shape-based clusters
Automatic generation of incremental taxonomies for supporting the users in the development of an RPA project
Reducing uncertainties in land cover change models using sensitivity analysis
Modified marine predators algorithm for feature selection: case study metabolomics
Optimizing subgraph retrieval and matching with an efficient indexing scheme
Mining discriminative itemsets in data streams using the tilted-time window model
Extended feature combination model for recommendations in location-based mobile services
Relationships between knowledge bases and related results
Making clustering in delay-vector space meaningful
A novel fuzzy twin support vector machine using mass-based dissimilarity measure
Effective sparsity control in deep belief networks using normal regularization term
Data mining of vector-item patterns using neighborhood histograms
MSAD-GNN: multi-head spectral attention-driven deep propagation graph neural network
Hiding sensitive knowledge without side effects
Characterization and evaluation of similarity measures for pairs of clusterings
A valences-totaling model for English sentiment classification
Adversarially regularized medication recommendation model with multi-hop memory network
Kernel-based regression via a novel robust loss function and iteratively reweighted least squares
A general measure of similarity for categorical sequences
Tri-XGBoost model improved by BLSmote-ENN: an interpretable semi-supervised approach for addressing bankruptcy prediction
A survey of query result diversification
A multi-objective optimization approach to package delivery by the crowd of occupied taxis
Protecting buying agents in e-marketplaces by direct experience trust modelling
Distributed and scalable sequential pattern mining through stream processing
Ensembles of relational classifiers
An efficient projection-based indexing approach for mining high utility itemsets
Reduced ordered binary decision diagram with implied literals: a new knowledge compilation approach
An improved confusion matrix for fusing multiple K-SVD classifiers
Online evaluation of bid prediction models in a large-scale computational advertising platform: decision making and insights
Comparison between Lamarckian and Darwinian Evolution on a Model Using Neural Networks and Genetic Algorithms
MIF-SSGCT: semi-supervised graph co-training session-based recommendation based on multi-information fusion
GTHP: a novel graph transformer Hawkes process for spatiotemporal event prediction
Large language models: a survey of their development, capabilities, and applications
Learning extremely shared middle-level image representation for scene classification
Improving spectral clustering with deep embedding, cluster estimation and metric learning
Who should I invite: predicting event participants for a host user
Fairness-constrained multigroup influence maximization
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Random-data perturbation techniques and privacy-preserving data mining
Knowledge Discovery Through Self-Organizing Maps: Data Visualization and Query Processing
Self-paced annotations of crowd workers
FishRNFuseNET: development of heuristic-derived recurrent neural network with feature fusion strategy for fish species classification
Intelligent systems in the automotive industry: applications and trends
One-class learning and concept summarization for data streams
A review on matrix completion for recommender systems
Dimensionality selection for hyperbolic embeddings using decomposed normalized maximum likelihood code-length
A semantic approach for the requirement-driven discovery of web resources in the Life Sciences
Robustness verification of k-nearest neighbors by abstract interpretation
Can classification performance be predicted by complexity measures? A study using microarray data
An intelligence approach for group stock portfolio optimization with a trading mechanism
Activity qualifiers using an argument-based construction
Hybrid model for event recommendation system with willingness, community and content feature set in social networks
Toward a socially fair data equilibration approach for responsible federated learning
Fire now, fire later: alarm-based systems for prescriptive process monitoring
A supervised clustering algorithm for computer intrusion detection
Optimal intelligent information retrieval and reliable storage scheme for cloud environment and E-learning big data analytics
On the role of individual human abilities in the design of adaptive user interfaces for scientific problem solving environments
CG-FHAUI: an efficient algorithm for simultaneously mining succinct pattern sets of frequent high average utility itemsets
LightCapsGNN: light capsule graph neural network for graph classification
Non-unique cluster numbers determination methods based on stability in spectral clustering
A deep transfer learning approach for improved post-traumatic stress disorder diagnosis
Query-dependent learning to rank for cross-lingual information retrieval
Rule cubes for causal investigations
Managing dimensionality in data privacy anonymization
Imbalance class problem : an analytical mapping using spreadsheet, VOSviewer, and large language models
Extending the scope of case-based reasoning through multiple case-based generalizations
A formal series-based unification of the frequent itemset mining approaches
A decision support system for service recovery in affective computing: an experimental investigation
Vocabulary Use in XML Standards in the Financial Market Domain
Tracking social provenance in chains of retweets
Exploration of Ordinal Data With Association Rules
Simulating outcomes of interventions using a multipurpose simulation program based on the evolutionary causal matrices and Markov chain
On-grid and off-grid photovoltaic systems forecasting using a hybrid meta-learning method
A unified view of the apriori-based algorithms for frequent episode discovery
RRSi: indexing XML data for proximity twig queries
Accuracy evaluation of methods and techniques in Web-based question answering systems: a survey
Temporal super-resolution traffic flow forecasting via continuous-time network dynamics
Multi-view ensemble learning: an optimal feature set partitioning for high-dimensional data classification
GPT-LGBM: a ChatGPT-based integrated framework for credit scoring with textual and structured data
RoEMF: rotational embedding multimodal fusion for link prediction
Class imbalance revisited: a new experimental setup to assess the performance of treatment methods
A new rule-based knowledge extraction approach for imbalanced datasets
Spatiotemporal traffic network analysis: technology and applications
PE-MSC: partial entailment-based minimum set cover for text summarization
A consistency analysis on four evaluation metrics for classifying imbalanced data
GWNN-HF: beyond assortativity in graph wavelet neural network
Open dataset discovery using context-enhanced similarity search
Data placement in massively distributed environments for fast parallel mining of frequent itemsets
Improving restaurant recommendation transparency through feature selection
Correction: Enumerating all multi-constrained s-t paths on temporal graph
Universal trajectories of scientific success
Privacy protection of user profiles in online search via semantic randomization
Word and graph attention networks for semi-supervised classification
Reasoning with fuzzy extensions of OWL and OWL 2
Dominance relationship analysis with budget constraints
SkSpO-L2TDBM: optimized drug name recognition using a large language-based time-distributed deep learning model
A hybrid scheme for energy-efficient object tracking in sensor networks
An analysis of large language models: their impact and potential applications
Novel approaches to crawling important pages early
A review of clique-based overlapping community detection algorithms
Incremental one-class collaborative filtering with co-evolving side networks
DKFM: a novel data and knowledge fusion-driven model for difficulty prediction of mathematical exercise
Generational analysis of variety in data structures: impact on automatic data integration and on the semantic web
A hybrid aggregation and compression technique for road network databases
Query-adaptive training data recommendation for cross-building predictive modeling
Tag-based information access in image collections: insights from log and eye-gaze analyses
Incorporating topic and property for knowledge base synchronization
CloFAST: closed sequential pattern mining using sparse and vertical id-lists
Tell me something my friends do not know: diversity maximization in social networks
Correction: A new hybrid reasoning model based on rules, cases and processes: application to care of individuals facing autism spectrum disorders
Filtering Bayesian optimization approach in weakly specified search space
Optimized neural attention mechanism for aspect-based sentiment analysis framework with optimal polarity-based weighted features
A review of mobile sensing systems, applications, and opportunities
An efficient method for estimating null values in relational databases
RKR-GAT: recurrent knowledge-aware recommendation with graph attention network
Linear response time for implicate and implicant queries
A distributed classification and prediction model using federated learning in healthcare
Event extraction using behaviors of sentiment signals and burst structure in social media
Exploiting spatial relations for grammar-based specification of multidimensional languages
Measures of uncertainty for knowledge bases
Subspace multi-clustering: a review
Integrating heterogeneous information via flexible regularization framework for recommendation
Performance and cost-effectiveness of change burst metrics in predicting software faults
Enhancing cybersecurity using optimized anti-interference dynamic integral neural network-based intrusion detection system
Noise-aware celestial clustering for hot topic detection from microblog datasets with not well-separated topics
Information diffusion in a multi-social-network scenario: framework and ASP-based analysis
On strategies for building effective ensembles of relative clustering validity criteria
QUERY2RULE: automatically generating logical query and reasoning from complex questions over large knowledge graph embedding
Top-k approximate selection for typicality query results over spatio-textual data
FindOut: Finding Outliers in Very Large Datasets
Fast data-free model compression via dictionary-pair reconstruction