yusuke1997/dblp-id-title huggingface dataset:
A graph partitioning-based hybrid feature selection method in microarray datasets
Database Technologies for L-System Simulations in Virtual Plant Applications on Bioinformatics
NEAWalk: Inferring missing social interactions via topological-temporal embeddings of social groups
CBRM: a causal approach to balancing popularity bias with global quality in recommendation systems
XLR-KGDD: leveraging LLM and RAG for knowledge graph-based explainable disease diagnosis using multimodal clinical information
An energy-aware migration framework using metaheuristic algorithm in cloud computing
Cross-domain recommendation via adaptive bi-directional transfer graph neural networks
Integrating Database and Dialogue Design
Efficiently spotting the starting points of an epidemic in a large graph
Correlation clustering algorithm for dynamic complete signed graphs: an index-based approach
Next-generation antivirus for JavaScript malware detection based on dynamic features
A hybrid isotonic separation training algorithm with correlation-based isotonic feature selection for binary classification
A two-stage gene selection scheme utilizing MRMR filter and GA wrapper
Quality assessment of individual classifications in machine learning and data mining
A sampling approach for skyline query cardinality estimation
Single pass text classification by direct feature weighting
A domain-specific decision support system for knowledge discovery using association and text mining
Mining sequential patterns with itemset constraints
Theoretical backgrounds of Boolean reasoning-based binary n-clustering
Anonymizing bag-valued sparse data by semantic similarity-based clustering
Supervised item response models for informative prediction
Dual-stage scoring via task decoupling and fine-grained preference learning for side-information integrated sequential recommendation
Mining frequent subgraphs from tremendous amount of small graphs using MapReduce
Learning from crowds with decision trees
Collegial activity learning between heterogeneous sensors
Interpretable tabular data generation
The impact of prior knowledge on causal structure learning
A joint knowledge representation learning of sentence vectors weighting and primary neighbor constraints
Hybrid CPU/GPU/APU accelerated query, insert, update and erase operations in hash tables with string keys
MuLoR: a multi-graph contrastive network for logical reasoning
Novel harmony search-based algorithms for part-of-speech tagging
Optimal online time-series segmentation
IMC: A Method for Interval Calculus in Matrix
Enhanced smart weather prediction through advanced atmospheric analysis and forecasting techniques using binarized spiking neural networks
Tailoring and evaluating the Wikipedia for in-domain comparable corpora extraction
A novel approach for salient object detection using double-density dual-tree complex wavelet transform in conjunction with superpixel segmentation
Cybersecurity knowledge graphs
Automating localized learning for cardinality estimation based on XGBoost
Discovering regional congestion propagation patterns based on spatio-temporal co-location patterns
RDPNet: a multi-stage summary generation network for long chat dialogues
Targeted training for numerical reasoning with large language models
BotCL: a social bot detection model based on graph contrastive learning
Enhanced Proxy Caching with Content Management
An Index Structure for Data Mining and Clustering
Discovering excitatory relationships using dynamic Bayesian networks
Parallelizing skyline queries over uncertain data streams with sliding window partitioning and grid index
An academic recommender system on large citation data based on clustering, graph modeling and deep learning
A novel correlation Gaussian process regression-based extreme learning machine
Fuzzy knowledge-based token-ordering policies for bullwhip effect management in supply chains
FZeroTC: fully zero-shot text classification for simultaneously discovering and labeling unseen classes
Welcoming two new Co-Editors-in-Chief for KAIS
S2S: structural-to-syntactic matching similar documents
Long short-term search session-based document re-ranking model
Accelerating massive queries of approximate nearest neighbor search on high-dimensional data
Enhanced software defect prediction using edge feature and self-attention GAN with pelican optimization
Learning Premises of Fuzzy Rules for Knowledge Acquisition in Classification Problems
Association patterns for data modeling and definition
Using OWL ontologies for adaptive patient information modelling and preoperative clinical decision support
Advancing fake news combating using machine learning: a hybrid model approach
Exploiting anonymous entity mentions for named entity linking
Online deep learning's role in conquering the challenges of streaming data: a survey
Simple knowledge graph completion model based on PU learning and prompt learning
Evaluation of contextual information retrieval effectiveness: overview of issues and research
Missing value imputation using a fuzzy clustering-based EM approach
Misclassification-guided loss under the weighted cross-entropy loss framework
An efficient lightweight coordination model to multi-agent planning
Context-aware MIML instance annotation: exploiting label correlations with classifier chains
The logic transformations for reducing the complexity of the discernibility function-based attribute reduction problem
Elastic similarity and distance measures for multivariate time series
Truth validation with evidence
Discovering frequent behaviors: time is an essential element of the context
Survey of distance measures for quantifying concept drift and shift in numeric data
Improving the performance of 1D object classification by using the Electoral College
Advanced agronomics model with species classification, minimum support price prediction, and profit suggestion using enhanced deep learning strategy
Split miner: automated discovery of accurate and simple business process models from event logs
The Author-Topic-Community model for author interest profiling and community discovery
BusSEngine: a business search engine
Strategies for contextual reasoning with conflicts in ambient intelligence
Framework for scoring the scientific reputation of researchers
Comprehensive review and comparative analysis of transformer models in sentiment analysis
Energy-based anomaly detection for mixed data
Paired k-NN learners with dynamically adjusted number of neighbors for classification of drifting data streams
Semi-supervised fuzzy co-clustering algorithm for document categorization
Meta-heuristic endured deep learning model for big data classification: image analytics
Quantifying explainable discrimination and removing illegal discrimination in automated decision making
Performance evaluation of machine learning for fault selection in power transmission lines
An efficient projection-based method for high utility itemset mining using a novel pruning approach on the utility matrix
Mitigation of the ground reflection effect in real-time locating systems based on wireless sensor networks by using artificial neural networks
HICC: an entropy splitting-based framework for hierarchical co-clustering
Preserving data distribution in sampling and instance selection with Renyi's divergence
Classifying imbalanced data in distance-based feature space
Impulse noise filtering based on noise-free pixels using genetic programming
Cost Estimation for Queries Experiencing Multiple Contention States in Dynamic Multidatabase Environments
Indexing expensive functions for efficient multi-dimensional similarity search
A systematic study on parameter correlations in large-scale duplicate document detection
Recommender systems in smart campus: a systematic mapping
Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions
A quality-of-service aware composition-method for cloud service using discretized ant lion optimization algorithm
Toward proactive social inclusion powered by machine learning
Accurate data imputation in healthcare with optimized class thresholds using enhanced firefly algorithm
Similarity measures for OLAP sessions
Parameter determination and feature selection for back-propagation network by particle swarm optimization
Extraction, selection and ranking of Field Association (FA) Terms from domain-specific corpora for building a comprehensive FA terms dictionary
Advanced ambient air quality prediction through weighted feature selection and improved reptile search ensemble learning
Risk-aware temporal cascade reconstruction to detect asymptomatic cases
A survey of state-of-the-art approaches for emotion recognition in text
Explanation and reliability of prediction models: the case of breast cancer recurrence
Finding desirable objects under group categorical preferences
ENDL: A Logical Framework for Verifying Secure Transaction Protocols
Detecting multiple stochastic network motifs in network data
A robust adaptive linear regression method for severe noise
Probabilistic temporal semantic graph: a holistic framework for event detection in twitter
Argumentation-based multi-agent distributed reasoning in dynamic and open environments
Managing Null Entries in Pairwise Comparisons
A new vertical fragmentation algorithm based on ant collective behavior in distributed database systems
Improvement of neural network classifier using floating centroids
A descriptive framework for the field of knowledge management
Heuristics for using CP-nets in utility-based negotiation without knowing utilities
Exploration of directional-predictive sounds for nonvisual interaction with graphs
Preference modeling by exploiting latent components of ratings
Arbitrating Among Competing Classifiers Using Learned Referees
A Genetic Selection Algorithm for OLAP Data Cubes
A Method for Developing Component-Oriented Applications: A Use-Context Driven Approach Toward Component Coordination
A hierarchical attention neural network with multi-view fusion for online course recommendation
On clustering massive text and categorical data streams
NeuCrowd: neural sampling network for representation learning with crowdsourced labels
IC-SNI: measuring nodes' influential capability in complex networks through structural and neighboring information
Boosting support vector machines for imbalanced data sets
An incremental clustering algorithm based on semantic concepts
Alice and the Caterpillar: A more descriptive null model for assessing data mining results
CLOVER: a faster prior-free approach to rare-category detection
Analysis of incomplete and inconsistent clinical survey data
Enhanced multimodal recommendation systems through reviews integration
A new type of cosine similarity measures based on intuitionistic hesitant fuzzy rough sets for the evaluation of volatile currency: evidence from the Pakistan economy
Hybrid online-offline learning to rank using simulated annealing strategy based on dependent click model
Analysis of loss functions for fast single-class classification
An unsupervised noise-resistant method for detection of incremental drifts
Efficient Monte Carlo clustering in subspaces
3-3FS: ensemble method for semi-supervised multi-label feature selection
MatchSim: a novel similarity measure based on maximum neighborhood matching
Dataset-Transformation: improving clustering by enhancing the structure with DipScaling and DipTransformation
A CTO-based GRU model for identifying emotions from textual data
Enhancing recommendation systems with collaborative filtering and sentiment analysis: dimensionality reduction for improved content-based approaches
Mining exceptional closed patterns in attributed graphs
An action-reaction influence model relying on OSN user-generated content
TAPAS: Trustworthy privacy-aware participatory sensing
Distributed robust Gaussian Process regression
Multiple optimized ensemble learning for high-dimensional imbalanced credit scoring datasets
The analysis of diversification properties of stablecoins through the Shannon entropy measure
Ternary Matrix Factorization: problem definitions and algorithms
An expected win rate-based real-time bidding strategy for branding campaigns on display advertising
Ontology-based soft computing and machine learning model for efficient retrieval
Powered Dirichlet-Hawkes process: challenging textual clustering using a flexible temporal prior
Probability knowledge acquisition from unlabeled instance based on dual learning
Fast adaptive kernel density estimator for data streams
On spatial keyword covering
Determining maximum cliques for community detection in weighted sparse networks
Triangle minimization in large networks
Efficient Graph-Based Algorithms for Discovering and Maintaining Association Rules in Large Databases
Scholarly recommendation systems: a literature survey
PSSN: a novel cache placement method based on adapted Shannon entropy and simple additive weighting method in named data networking
L-ideals and rough sets based on L-ideals
Statistical outlier detection using direct density ratio estimation
DMCT-GAN: dynamic modeling of collision-free trajectory prediction using generative adversarial networks
Content annotation for the semantic web: an automatic web-based approach
Imbalanced data preprocessing techniques for machine learning: a systematic mapping study
Deep graph transformation for attributed, directed, and signed networks
FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applications
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms
A Rényi-type quasimetric with random interference detection
Learning with multi-resolution overlapping communities
Closed motifs for streaming time series classification
A deep learning-based disease diagnosis with intrusion detection for a secured healthcare system
Semantic features analysis for biomedical lexical answer type prediction using ensemble learning approach
Multipass Algorithms for Mining Association Rules in Text Databases
Domestic violence: a survey on norms and impacts, AI detection approaches, and existing datasets
Real-time spatio-temporal analysis of dynamic scenes
Span-based relational graph transformer network for aspect-opinion pair extraction
Exchanging Data amongst Linked Data applications
Deep end-to-end learning for price prediction of second-hand items
Answering ad hoc aggregate queries from data streams using prefix aggregate trees
Compositional Verification of Knowledge-Based Task Models and Problem-Solving Methods
GAMer: a synthesis of subspace clustering and dense subgraph mining
Intelligent bus routing with heterogeneous human mobility patterns
An efficient approach for incremental erasable utility pattern mining from non-binary data
A many-sorted theory proposal for information retrieval: axiomatization and semantics
MAESTRO: a lightweight ontology-based framework for composing and analyzing script-based scientific experiments
A relative position attention network for aspect-based sentiment analysis
Adaptive hierarchical knowledge distillation from GNNs to MLPs
The Impact of Payoff Function and Local Interaction on the N -Player Iterated Prisoner's Dilemma
Query answering over uncertain RDF knowledge bases: explain and obviate unsuccessful query results
Accelerating sequence searching: dimensionality reduction method
Best papers from the 12th Pacific-Asia conference on knowledge discovery and data mining (PAKDD2008)
Enhancing Multi-Attribute Similarity Join using Reduced and Adaptive Index Trees
Facing the reality of data stream classification: coping with scarcity of labeled data
Deployment of social nets in multilayer model to identify key individuals using majority voting
Toward data-driven solutions to interactive dynamic influence diagrams
XCQ: A queriable XML compression system
Optimized neural networks for efficient modeling of crude oil production
Markov chain analysis in agent-based model calibration by classical and simulated minimum distance
SimGCL: graph contrastive learning by finding homophily in heterophily
Learning to detect spyware using end user license agreements
SLOM: a new measure for local spatial outliers
Multivariate Discretization for Set Mining
Cross-lingual sentiment classification with stacked autoencoders
Mining the meaningful term conjunctions from materialised faceted taxonomies: algorithms and complexity
Wave Hedges distance-based feature fusion and hybrid optimization-enabled deep learning for cyber credit card fraud detection
IRAFCA: an O(n) information retrieval algorithm based on formal concept analysis
Self-supervised role learning for graph neural networks
Mining non-derivable hypercliques
Mining sequential patterns for classification
One in a million: picking the right patterns
Computing the minimum-support for mining frequent patterns
Perceptive dual-graph semantic integration network for aspect sentiment triplet extraction
HMNE: link prediction using hypergraph motifs and network embedding in social networks
A Bayesian approach to forecasting daily air-pollutant levels
Spectral clustering with scale fairness constraints
Label-specific disentanglement and correlation-guided fusion for multi-label classification
A theoretical model for the automatic generation of tag clouds
Efficient mining of maximal frequent itemsets from databases on a cluster of workstations
Network immunization and virus propagation in email networks: experimental evaluation and analysis
An optimized sequential pattern matching methodology for sequence classification
Conversational question answering: a survey
Measuring ranked list robustness for query performance prediction
Call classification using recurrent neural networks, support vector machines and finite state automata
Protecting the privacy of social network data using graph correction
An introduction to collaborative filtering through the lens of the Netflix Prize
Machine learning techniques for anti-money laundering (AML) solutions in suspicious transaction detection: a review
Label-consistent kernel transform learning-based sparse hashing for cross-modal retrieval
Case notion discovery and recommendation: automated event log building on databases
Empirical comparison of supervised learning techniques for missing value imputation
Multiple task transfer learning with small sample sizes
Enhanced autoencoder-based fraud detection: a novel approach with noise factor encoding and SMOTE
ACE-RL-Checkers: decision-making adaptability through integration of automatic case elicitation, reinforcement learning, and sequential pattern mining
Self-supervised re-identification for online joint multi-object tracking
PI-Join: Efficiently processing join queries on massive data
Periodic subgraph mining in dynamic networks
An efficient distributed co-movement pattern detection framework for streaming trajectory
Web Site Synthesis Based on Computational Logic
Mining frequent and top-K High Utility Time Interval-based Events with Duration patterns
TIDRec: a novel triple-graph interactive distillation method for paper recommendation
FLGT: label-flipping-robust federated learning via guiding trust
Pruning strategies for the efficient traversal of the search space in PILP environments
Cyber security incidents analysis and classification in a case study of Korean enterprises
Hypergraph-based importance assessment for binary classification data
Modeling collective blogging dynamics of popular incidental topics
Text2AMR2FRED, converting text into RDF/OWL knowledge graphs via abstract meaning representation
In-memory transaction processing: efficiency and scalability considerations
Stream mining with integrity constraint learning for event extraction in evolving data streams
Monitoring stealthy diffusion
Weighted APPR with restart for community extraction from multilayer networks
Fairness in graph-based semi-supervised learning
DEMass: a new density estimator for big data
On the anonymizability of graphs
A novel enhanced Bayesian classifier with multiple smoothing parameters
Mining historical manuscripts with local color patches
An intelligent secure and efficient workflow scheduling (SEWS) model for heterogeneous cloud computing environment
Fast Association Discovery in Derivative Transaction Collections
IBWC: a user-centric approach to multi-objective cloud task scheduling using improved beluga whale optimization
Technology feature fusion prediction method based on multidimensional information extraction and deep neural networks
An active learning-based approach for location-aware acquaintance inference
Effective methods for increasing aggregate diversity in recommender systems
The big data system, components, tools, and technologies: a survey
Sequential pattern sampling with norm-based utility
A novel classifier ensemble approach for financial distress prediction
Using cocitation information to estimate political orientation in web documents
Multi-objective covering salesman problem: a decomposition approach using grey wolf optimization
Indexing volumetric shapes with matching and packing
Ontology-Based Layered Rule-Based Network Intrusion Detection System for Cybercrimes Detection
Innovative research aspects of big data modelling, management and analytics
Fuzzy entropy functions based on perceived uncertainty
Hybrid Collaborative Filtering algorithm for bidirectional Web service recommendation
Chronological squirrel search algorithm enabled deep recurrent neural network for employability prediction
Approximate solutions of moral dilemmas in multiple agent system
Extending metric index structures for efficient range query processing
A distributed approach for accelerating sparse matrix arithmetic operations for high-dimensional feature selection
Confidence in predictions from random tree ensembles
Recommendations for two-way selections using skyline view queries
How to personalize and whether to personalize? Candidate documents decide
Machine learning and metaheuristic optimization algorithms for feature selection and botnet attack detection
Analysis and evaluation of the top-k most influential location selection query
Machine learning friendly set version of Johnson-Lindenstrauss lemma
Editorial: Introducing the New Editor-in-Chief
Enhancing link prediction in dynamic social networks through hybrid GCN-LSTM models
A survey on location estimation techniques for events detected in Twitter
An oversampling algorithm for high-dimensional imbalanced learning with class overlapping
Cost-sensitive learning using logical analysis of data
Improving the ε-approximate algorithm for Probabilistic Classifier Chains
Best papers from the Fifth International Conference on Advanced Data Mining and Applications (ADMA 2009)
EnsembleNet: a novel deep ensemble learning model with GANBERT and BiLSTM for automated fake news detection
Constructing topical hierarchies in heterogeneous information networks
A weighted voting framework for classifiers ensembles
Class incremental named entity recognition without forgetting
Improving contextual advertising matching by using Wikipedia thesaurus knowledge
sf SecDM: privacy-preserving data outsourcing framework with differential privacy
Estimating effectiveness of twitter messages with a personalized machine learning approach
SVM-based subspace optimization domain transfer method for unsupervised cross-domain time series classification
OntoMap: an ontology-based architecture to perform the semantic mapping between an interlingua and software components
Investigations into Data Ecosystems: a systematic mapping study
Enhancing content-based retrieval through an end-to-end approach utilizing deep learning and multidimensional indexing
Towards a taxonomy for business capabilities determining data value
Truss community search in uncertain graphs
Fusing graph structural information with pre-trained generative model for knowledge graph-to-text generation
Redesigning business processes: a methodology based on simulation and process mining techniques
Deep learning-based question answering: a survey
On route planning by inferring visiting time, modeling user preferences, and mining representative trip patterns
A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting
Energy conservation in wireless sensor networks: a rule-based approach