yusuke1997/dblp-id-title huggingface dataset:
Resource allocation in fog computing: a survey on current state and research challenges
Transfer learning for concept drifting data streams in heterogeneous environments
A feature-free and parameter-light multi-task clustering framework
A framework for monitoring classifiers' performance: when and why failure occurs?
Group formation technique based on deep embedded clustering and similarity for group recommendation system
Bold driver and static restart fused adaptive momentum for visual question answering
Are we done with business process compliance: state of the art and challenges ahead
AKUPP: attention-enhanced joint propagation of knowledge and user preference for recommendation systems
Hybrid deep learning and similarity measures for requirements-driven composition of semantic web services
Approximating the number of frequent sets in dense data
Dynamic bipartite network model based on structure and preference features
Interpretable adversarial neural pairwise ranking for academic network embedding
BSRU: boosting semi-supervised regressor through ramp-up unsupervised loss
Evolution of faceted taxonomies and CTCA expressions
Resolution-based rewriting for Horn- SHIQ ontologies
C 22 MP: the marriage of catch22 and the matrix profile creates a fast, efficient and interpretable anomaly detector
Causal inference for time series analysis: problems, methods and evaluation
Adaptive semi-supervised learning on labeled and unlabeled data with different distributions
Large-scale supervised similarity learning in networks
Locality-sensitive and Re-use Promoting Personalized PageRank computations
Finding centric local outliers in categorical/numerical spaces
Answering linear optimization queries with an approximate stream index
Efficient apache spark-based approach for a probabilistic entity resolution
A hybrid decision tree training method using data streams
Reasoning temporal knowledge graph through neighboring and historical information aggregation
Evidence-based adaptive oversampling algorithm for imbalanced classification
SILVERBACK+: scalable association mining via fast list intersection for columnar social data
Energy-saving models for wireless sensor networks
Human-centered ontology engineering: The HCOME methodology
Personalized federated learning with adaptive optimization of local model
Unleashing the power of untuned large language models in recommender systems: a thorough investigation of current approaches, challenges, and future research directions
Improving clustering by learning a bi-stochastic data similarity matrix
Set containment join revisited
Optimizing complex queries based on similarities of subqueries
Unsupervised online change point detection in high-dimensional time series
Behavioral insights of adaptive splitting decision trees in evolving data stream classification
An incremental algorithm for clustering spatial data streams: exploring temporal locality
Digital twin: securing IoT networks using integrated ECC with blockchain for healthcare ecosystem
Recurrent random forest for the assessment of popularity in social media
Anomaly-aware symmetric non-negative matrix factorization for short text clustering
Correlation analysis techniques for uncertain time series
Accelerating EM clustering to find high-quality solutions
Sentiment analysis on big sparse data streams with limited labels
Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
Architecture for knowledge discovery and knowledge management
Accelerating pattern-based time series classification: a linear time and space string mining approach
On the use of structure and sequence-based features for protein classification and retrieval
A new local density and relative distance based spectrum clustering
Models of time series with time granulation
k-Degree anonymity on directed networks
Computing and visualizing popular places
Semi-supervised learning with an imperfect supervisor
Exploiting semantics for filtering and searching knowledge in a software development context
Simple supervised dissimilarity measure: Bolstering iForest-induced similarity with class information without learning
Recommender Systems in Cybersecurity
Compression and aggregation of Bayesian estimates for data intensive computing
Multirelational classification: a multiple view approach
Simulating the Ecology of Oligopolistic Competition with Genetic Algorithms
GANCDE: Neural networks based on graphs and attention neural control differential equations for human activity recognition
Dynamic micro-targeting: fitness-based approach to predicting individual preferences
Fast and scalable support vector clustering for large-scale data analysis
The Cloaked-Centroid protocol: location privacy protection for a group of users of location-based services
Pythagorean fuzzy MULTIMOORA method based on distance measure and score function: its application in multicriteria decision making process
Fair multi-agent task allocation for large datasets analysis
Multi-label classification using stacked hierarchical Dirichlet processes with reduced sampling complexity
Separation axioms in fuzzy multiset topological spaces
Personalized itinerary recommendation with time constraints using GPS datasets
Mining maritime traffic conflict trajectories from a massive AIS data
Rating the skill of synthetic agents in competitive multi-agent environments
A streaming edge sampling method for network visualization
Privacy-preserving clustering with distributed EM mixture modeling
Enhancing classification accuracy through feature extraction: a comparative study of discretization and clustering approaches on sensor-based datasets
Identifying at-risk students based on the phased prediction model
Comment on "New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach"
Evolution of mathematical models of chaotic systems based on multiobjective genetic programming
On the utility of ordered incremental attribute learning-based variance and mRMR techniques
FacetCube: a general framework for non-negative tensor factorization
Tuning parameters of Apache Spark with Gauss-Pareto-based multi-objective optimization
Inference of abduction theories for handling incompleteness in first-order learning
Optimal WCDMA network planning by multiobjective evolutionary algorithm with problem-specific genetic operation
A New Flow-Based Approach for Enhancing Botnet Detection Efficiency Using Convolutional Neural Networks and Long Short-Term Memory
Distributing Frank-Wolfe via map-reduce
Label-enhanced contrastive knowledge distillation
Truss decomposition of uncertain graphs
Empower rumor events detection from Chinese microblogs with multi-type individual information
Record-level peculiarity-based data analysis and classifications
Ensemble-based feature selection and machine learning models for software defect prediction
Data-dependent dissimilarity measure: an effective alternative to geometric distance measures
A study into patient similarity through representation learning from medical records
Evaluating the transferability of adversarial robustness to target domains
A quantitative analysis of product categorization standards: content, coverage, and maintenance of eCl@ss, UNSPSC, eOTD, and the RosettaNet Technical Dictionary
Missing data imputation using decision trees and fuzzy clustering with iterative learning
Hi-GNN: hierarchical interactive graph neural networks for auxiliary information-enhanced recommendation
Characterizing and locating polarized communities in signed networks
Pattern Analysis and Analogy in Shogi: Predicting Shogi Moves from Prior Experience
A unified review of aspect sentiment triplet extraction methods in aspect-based sentiment analysis
Knowledge-graph-driven environmental monitoring with cross-regions knowledge transfer
An empirical study of a novel multimodal dataset for low-resource machine translation
A signed-distance-based approach to importance assessment and multi-criteria group decision analysis based on interval type-2 fuzzy set
New voting strategies designed for the classification of nucleic sequences
A fuzzy rough set-based horse herd optimization algorithm for map reduce framework for customer behavior data
Dual modularity optimization for detecting overlapping communities in bipartite networks
Markov-Miml: A Markov chain-based multi-instance multi-label learning algorithm
Online transfer learning by leveraging multiple source domains
Developing provenance-aware query systems: an occurrence-centric approach
Revisiting the effect of history on learning performance: the problem of the demanding lord
Searching the Web with Queries
PragmaticOIE: a pragmatic open information extraction for Portuguese language
Finding maximal homogeneous clique sets
One-to-many two-sided matching decision of logistics O2O platform considering the intermediary benefit
D-cores: measuring collaboration of directed graphs based on degeneracy
Oversmoothing alleviation in graph neural networks: a survey and unified view
Semi-supervised classification model with stochastic configuration networks
Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach
Decision rules extraction from data stream in the presence of changing context for diabetes treatment
Incorporating word embeddings into topic modeling of short text
Detection of cross-channel anomalies
Dynamic PScore: a dynamic method to prioritize user reviews
How to manage massive spatiotemporal dataset from stationary and non-stationary sensors in commercial DBMS?
Towards intelligent database systems using clusters of SQL transactions
Audio meets text: a loss-enhanced journey with manifold mixup and re-ranking
AdaptiveSSL: a unified semi-supervised learning framework for robust classification via adaptive uncertainty calibration and dynamic labeling
Learning Feature Weights from Customer Return-Set Selections
Compressed representations for web and social graphs
Enhancing molecular property prediction by fusing graph and sequence encoder representations
Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems
A cooperative treatment of the plethoric answers problem in RDF
Forecasting spatiotemporal impact of traffic incidents for next-generation navigation systems
Collective entity resolution in multi-relational familial networks
"Best K": critical clustering structures in categorical datasets
Graph neural networks for positive and unlabeled learning: a rewiring approach
A framework for anomaly detection in maritime trajectory behavior
Information propagation in online social networks: a tie-strength perspective
Coverage-based query subtopic diversification leveraging semantic relevance
Mood sensing from social media texts and its applications
User-based clustering deep model for the sequential point-of-interest recommendation
An abstract architecture for virtual organizations: The THOMAS approach
Multi-objective Bonobo Optimizer (MOBO): an intelligent heuristic for multi-criteria optimization
Biclustering-based multi-label classification
LG-VGAE: a local and global collaborative variational graph autoencoder for detecting crypto money laundering
A transversal hypergraph approach for the frequent itemset hiding problem
Enhancing researcher evaluation in computer science: a novel index for impact assessment
CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations
Multi-view constrained clustering with an incomplete mapping between views
Optimal segmentation using tree models
Leveraging large language models to enhance clustering-based topic modeling
Distributed real-time ETL architecture for unstructured big data
Computing marginal and conditional divergences between decomposable models with applications in quantum computing and earth observation
Federated search techniques: an overview of the trends and state of the art
Predicting document novelty: an unsupervised learning approach
The cascading neural network: building the Internet of Smart Things
Discovering mappings in hierarchical data from multiple sources using the inherent structure
Fast crawling methods of exploring content distributed over large graphs
Multi-task entity linking with supervision from a taxonomy
A POI recommendation approach integrating social spatio-temporal information into probabilistic matrix factorization
Efficient Transitive Closure Reasoning in a Combined Class-Part-Containment Hierarchy
Contrastive prototype source-free adaptation boosted by inherent data structure
Ontology-driven intelligent service for configuration support in networked organizations
User multi-dimensional prior preferences adaptive balancing based next POI recommendation
Content based similarity of geographic classes organized as partition hierarchies
Artificial bee colony-based support vector machines with feature selection and parameter optimization for rule extraction
Enhancing web search by using query-based clusters and multi-document summaries
Current challenges and trends in intelligent computing and knowledge management in industry
Weighted bidirectional gated recurrent network for event detection
Visualising hierarchical associations
CHEKG: a collaborative and hybrid methodology for engineering modular and fair domain-specific knowledge graphs
An Agenda- and Justification-Based Framework for Discovery Systems
A Mathematical Foundation for Improved Reduct Generation in Information Systems
Graph neural architecture search with heterogeneous message-passing mechanisms
A survey of the state of the art in conversational question answering systems
DSM-FI: an efficient algorithm for mining frequent itemsets in data streams
Imprecise Reliability of General Structures
Robust sparsity-preserved learning with application to image visualization
Application of smoothing techniques for linear programming twin support vector machines
Encrypted data indexing for the secure outsourcing of spectral clustering
Learning cell embeddings for understanding table layouts
Frequent itemsets mining over imperfect databases: a decremental pruning approach
Special issue on "context-aware data mining (CADM)"
Memory-based random walk for multi-query local community detection
Using Case-Based Reasoning and Principled Negotiation to provide decision support for dispute resolution
PatchMix: patch-level mixup for data augmentation in convolutional neural networks
Entropic principal component analysis using Cauchy-Schwarz divergence
Sparse regression mixture modeling with the multi-kernel relevance vector machine
OpenWGL: open-world graph learning for unseen class node classification
Wavelet energy-based visualization and classification of high-dimensional signal for bearing fault detection
PatSearch: an integrated framework for patentability retrieval
Heuristic attribute reduction and resource-saving algorithm for energy data of data centers
PAKDD'12 best paper: generating balanced classifier-independent training samples from unlabeled data
Modeling and implementing distributed data mining strategies in JaCa-DDM
Warped softmax regression for time series classification
Correlation-Based Web Document Clustering for Adaptive Web Interface Design
Combining semantic and term frequency similarities for text clustering
Mining Condensed Frequent-Pattern Bases
Microeconomic analysis using dominant relationship analysis
Fast agglomerative hierarchical clustering algorithm using Locality-Sensitive Hashing
Cloud resource provisioning: survey, status and future research directions
User preferences learning with temporal point process and attention model for next POI recommendation
HEEL: exploratory entity linking for heterogeneous information networks
Weight-based consistent query answering over inconsistent $${\mathcal {SHIQ}}$$ knowledge bases
A statistical framework for mining substitution rules
STEM: a suffix tree-based method for web data records extraction
Improved incremental local outlier detection for data streams based on the landmark window model
H2LFR: a hybrid two-layered feature ranking approach for enhanced data analysis
Merging uncertain information with semantic heterogeneity in XML
CETra: online cluster tracking for clustering of streaming data sources
Language identification of multilingual posts from Twitter: a case study
Dynamic network embedding and its temporal link prediction via constructing community adaptive temporal walking
Clustering based on matrix approximation: a unifying view
An evolutionary approach for automatically extracting intelligible classification rules
Generative user-experience research for developing domain-specific natural language processing applications
Robust and fast low-rank deep convolutional feature recovery: toward information retention and accelerated convergence
SET-PSO-based approach for mining positive and negative association rules
Efficient discovery of influential nodes for SIS models in social networks
A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques
Parallel Data Mining for Association Rules on Shared-Memory Systems
A reputation system for e-marketplaces based on pairwise comparison
Minimizing response time in time series classification
Automatic attribute construction for basketball modelling
Knowledge visualization for evaluation tasks
Intelligent data analysis approaches to churn as a business problem: a survey
Logical Comparison of Inconsistent Perspectives using Scoring Functions
A comprehensive survey on federated learning for privacy preservation in digital healthcare applications
Mining minimal distinguishing subsequence patterns with gap constraints
Comparison of descriptor spaces for chemical compound retrieval and classification
Correction to: Memory-based random walk for multi-query local community detection
Preference-oriented mining techniques for location-based store search
Measuring in-network node similarity based on neighborhoods: a unified parametric approach
A new interest extraction method based on multi-head attention mechanism for CTR prediction
Dynamic socialized Gaussian process models for human behavior prediction in a health social network
A comparative study between possibilistic and probabilistic approaches for monolingual word sense disambiguation
Missing value estimation of microarray data using Sim-GAN
Multi-behavior-based graph contrastive learning recommendation
How many performance measures to evaluate information retrieval systems?
Provably accurate and scalable linear classifiers in hyperbolic spaces
Trajectory splicing
A fragment-based iterative consensus clustering algorithm with a robust similarity
Finding best algorithmic components for clustering microarray data
Overlap-aware influence maximization with balanced replay deep Q-network
GM2NAS: multitask multiview graph neural architecture search
Using artificial anomalies to detect unknown and known network intrusions
Utility-based feature selection for text classification
An adaptive and late multifusion framework in contextual representation based on evidential deep learning and Dempster-Shafer theory
Canonical forms for labelled trees and their applications in frequent subtree mining
Retroductive reasoning: a data-driven intelligent method for knowledge discovery using cognitive IoT
A model for revocation forecasting in public-key infrastructures
Smart COVIDNet: designing an IoT-based COVID-19 disease prediction framework using attentive and adaptive-derived ensemble deep learning
On ontology-driven document clustering using core semantic features
Context-aware location recommendation by using a random walk-based approach
Latent side-information dynamic augmentation for incremental recommendation
Migrating federated learning to centralized learning with the leverage of unlabeled data
Learning element similarity matrix for semi-structured document analysis
An experimental study on classifying spatial trajectories
An efficient automatic modulation recognition using time-frequency information based on hybrid deep learning and bagging approach
Learning to suggest questions in social media
Simulated annealing-based immunodominance algorithm for multi-objective optimization problems
DBkWik: extracting and integrating knowledge from thousands of Wikis
Multi-task multi-modal graph neural network for recommender system
Singular value decomposition based data distortion strategy for privacy protection
A time-aware trajectory embedding model for next-location recommendation
Real-time topic-based sentiment analysis for movie tweets using hybrid approach
Geometric data perturbation for privacy preserving outsourced data mining
A Note on the Refinement of Nonmonotonic Knowledge Bases
Enriching behavior patterns with learning styles using peripheral devices
Improved covering-based collaborative filtering for new users' personalized recommendations
Effective construction of classifiers with the k-NN method supported by a concept ontology
STenSr: Spatio-temporal tensor streams for anomaly detection and pattern discovery
Entity linking for English and other languages: a survey
Minimally supervised question classification on fine-grained taxonomies
FoodRecNet: a comprehensively personalized food recommender system using deep neural networks
A residual utility-based concept for high-utility itemset mining
Personalized exercise recommendation based on knowledge structure and learners' attempting preferences
RaR: a clustering-based retrieve-and-rerank framework for knowledge graph reasoning in medical question answering
Similarity enhancement of heterogeneous networks by weighted incorporation of information
A priority-based blockchain transaction packaging algorithm in a cloud-edge-end collaboration computing environment
Biclustering neighborhood-based collaborative filtering method for top-n recommender systems
Mining frequent conjunctive queries in relational databases through dependency discovery
Direct estimation of class membership probabilities for multiclass classification using multiple scores
Effective scheduling algorithm for load balancing in fog environment using CNN and MPSO
Exploring feature sets for two-phase biomedical named entity recognition using semi-CRFs
Modeling Spatial-Temporal Data with a Short Observation History
Toward deep multi-view document clustering using enhanced semantic embedding and consistent context semantics
An Approximate Median Polish Algorithm for Large Multidimensional Data Sets
A novel possibilistic artificial immune-based classifier for course learning outcome enhancement
Editorial: Introduction to Web Information Systems Engineering
Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency
CloudRec: a framework for personalized service Recommendation in the Cloud
Object discovery in high-resolution remote sensing images: a semantic perspective
A dynamic density-based clustering method based on K-nearest neighbor
Taxonomy of deep learning-based intrusion detection system approaches in fog computing: a systematic review
Learning decision tree for ranking
Bottom-up approaches to achieve Pareto optimal agreements in group decision making
Comparing ontologies and databases: a critical review of lifecycle engineering models in manufacturing
A flexible coupling approach to multi-agent planning under incomplete information
Efficient discovery of co-location patterns from massive spatial datasets with or without rare features
Concurrent bilateral negotiation for open e-markets: the Conan strategy
DyFT: a dynamic similarity search method on integer sketches
On entropy-based term weighting schemes for text categorization
Adaptive moving average Q-learning
Short-term trend prediction in financial time series data
String alignment for automated document versioning
An effective cost-sensitive sparse online learning framework for imbalanced streaming data classification and its application to online anomaly detection
Adaptive ensemble with trust networks and collaborative recommendations
An unsupervised approach to modeling personalized contexts of mobile users
Quality of interaction-based predictive model for support of online learning in pandemic situations
Detecting outliers with one-class selective transfer machine
Partitioning large networks without breaking communities