yusuke1997/dblp-id-title huggingface dataset:
A systematic review of provenance systems
Discovering Similar Patterns for Characterizing Time Series in a Medical Domain
Mining technology trends in scientific publications: a graph propagated neural topic modeling approach
Logical design of multi-model data warehouses
Compressed vertical partitioning for efficient RDF management
A scalable privacy-preserving framework for temporal record linkage
Improving short-text representation in convolutional networks by dependency parsing
Multimodal contrastive learning with hyperbolic geometry for KG-based game recommendation
Data quality awareness: a case study for cost optimal association rule mining
GOAL: a clustering-based method for the group optimal location problem
A fast and efficient Hamming LSH-based scheme for accurate linkage
Efficient computation of the convex hull on sets of points stored in a k-tree compact data structure
Spatial homogeneity-aware transfer learning for urban flow prediction
Personalized recommendation with implicit feedback via learning pairwise preferences over item-sets
A hybrid bat and grey wolf optimizer for gene selection in cancer classification
Dynamic ensemble selection classification algorithm based on window over imbalanced drift data stream
Supervised inductive learning with Lotka-Volterra derived models
Pattern-based time-series subsequence clustering using radial distribution functions
Evaluation of information diffusion path based on a multi-topic relationship strength network
Privacy-concerned multiagent planning
Automated urban planning aware spatial hierarchies and human instructions
C-Net: A Method for Generating Non-deterministic and Dynamic Multivariate Decision Trees
On integrating event definition and event detection
Dynamic and fast processing of queries on large-scale RDF data
Sequence likelihood divergence for fast time series comparison
Queries of K-discriminative paths on road networks
Using Wikipedia knowledge to improve text classification
Contextual Partitioning for Comprehension of OODB Schemas
Feature selection by utilizing kernel-based fuzzy rough set and entropy-based non-dominated sorting genetic algorithm in multi-label data
An AI-blockchain-assisted smart agriculture framework for enabling secure and efficient data transaction: a hybrid approach
An Approach for Deriving a Global Representation of Data Sources Having Different Formats and Structures
Quantum computing and quantum-inspired techniques for feature subset selection: a review
Exploiting review embedding and user attention for item recommendation
Constrained recommendations for query visualizations
Sentiment analysis survey: datasets, techniques, applications, tools, and challenges
A comprehensive analysis of the diverse aspects inherent to image data stream classification
Identifying influential nodes based on new layer metrics and layer weighting in multiplex networks
VAE-GNA: a variational autoencoder with Gaussian neurons in the latent space and attention mechanisms
Relational multi-scale metric learning for few-shot knowledge graph completion
RRBoost: a new ensemble method for classifying imbalanced data
Time series classification with feature covariance matrices
Determining error bounds for spectral filtering based reconstruction methods in privacy preserving data mining
A semantics-enabled approach for personalised Data Lake exploration
A new multiobjective clustering technique based on the concepts of stability and symmetry
Load balanced task scheduling for cloud computing: a probabilistic approach
Stable and semi-stable sampling approaches for continuously used samples
k-Degree anonymity and edge selection: improving data utility in large networks
Adaptive semi-supervised learning from stronger augmentation transformations of discrete text information
Rrcn: a reinforced random convolutional network-based reciprocal recommendation approach for online dating
A new boosting algorithm for provably accurate unsupervised domain adaptation
TOPSIL-Miner: an efficient algorithm for mining top- K significant itemsets over data streams
Discovering topic structures of a temporally evolving document corpus
Self-learning and embedding based entity alignment
Relating ontologies with a fuzzy information model
Modeling, learning, and simulating human activities of daily living with behavior trees
Comparative news summarization using concept-based optimization
Group extraction from professional social network using a new semi-supervised hierarchical clustering
Cost-aware triage ranking algorithms for bug reporting systems
AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation
An effective association rule mining scheme using a new generic basis
WiKi'mantics: interpreting ontologies with WikipediA
Mining and clustering mobility evolution patterns from social media for urban informatics
Privacy-preserving crowdsourcing labeling with quality control: a differential privacy approach
Developing actionable trading agents
CDLFM: cross-domain recommendation for cold-start users via latent feature mapping
Improved optimization parameters prediction using the modified mega trend diffusion function for a small dataset problem
Online data-driven anomaly detection in autonomous robots
A hybrid heuristic algorithm for evolving models in simultaneous scenarios of classification and clustering
An outlier detection algorithm based on local density feedback
An overview of semantic-based process mining techniques: trends and future directions
Smart scheme: an efficient query execution scheme for event-driven stream processing
Knowledge-empowered agent information system for privacy payoff in eCommerce
Iterative sliding window aggregation for generating length-scale-specific fractal features
A combined approach for improving humanoid robots autonomous cognitive capabilities
Database Integration Using Neural Networks: Implementation and Experiences
Speeding up ALS learning via approximate methods for context-aware recommendations
Maximum entropy based significance of itemsets
Feature weighted confidence to incorporate prior knowledge into support vector machines for classification
A2N-SFS: an advanced statistical adaptive feature selection method for enhancing intrusion detection systems in IoT systems
Typed Abstract State Machines for data-intensive applications
Web data extraction based on structural similarity
Emerging AI threats in cybercrime: a review of zero-day attacks via machine, deep, and federated learning
Comparing sighted and blind users task performance in responsive and non-responsive web design
Learning from Batched Data: Model Combination Versus Data Combination
Entity graphs for exploring online discourse
Toward the use of Petri nets for the formalization of OWL-S choreographies
Incremental View Maintenance for Mobile Databases
Semi-supervised learning by disagreement
Dynamic argumentation in UbiGDSS
Mining and clustering service goals for RESTful service discovery
A Description Length-Based Decision Criterion for Default Knowledge in the Ripple Down Rules Method
Temporal word embedding with predictive capability
Recent advances in feature selection and its applications
Location histogram privacy by Sensitive Location Hiding and Target Histogram Avoidance/Resemblance
Using Unbalanced Trees for Indexing Multidimensional Objects
Detecting outlying subspaces for high-dimensional data: the new task, algorithms, and performance
Radius-aware approximate blank node matching using signatures
Tracking triadic cardinality distributions for burst detection in high-speed graph streams
Enhancing the stability and efficiency of spectral ordering with partial supervision and feature selection
Performance study of distributed Apriori-like frequent itemsets mining
Fast and memory-efficient algorithms for high-order Tucker decomposition
Parallel co-location mining with MapReduce and NoSQL systems
Deep-transfer learning inspired natural language processing system for software requirements classification
Two-hop privacy-preserving nearest friend searches
A pruning strategy to improve pairwise comparison-based near-duplicate detection
Data management in digital twins: a systematic literature review
Efficient parallel algorithm for finding strongly connected components based on granulation strategy
Diff-PIE: an engineering investment estimation model based on transfer learning and risk-aware modeling for EPC projects
Inferring lockstep behavior from connectivity pattern in large graphs
On the graph-based extension of the set based model: a new approach on graph representation and model ensemble
Exploring aspect-based sentiment analysis: an in-depth review of current methods and prospects for advancement
A meta-algorithm for finding large k-plexes
Generalized sparse metric learning with relative comparisons
Large-scale underwater fish recognition via deep adversarial learning
Adaptive query relaxation and top-k result ranking over autonomous web databases
ELF-Miner: using structural knowledge and data mining methods to detect new (Linux) malicious executables
Intelligent optimization and inventory control of deteriorating items: an overview
SS-WDRN: sparrow search optimization-based weighted dual recurrent network for software fault prediction
Implicit graph neural network for deep graph transformation
Early detection of fake news by integrating global structure and publisher credibility
The address connector: noninvasive synchronization of hierarchical data sources
A high utility itemset mining algorithm based on subsume index
Nearest base-neighbor search on spatial datasets
DAuCNet: deep autoregressive framework for temporal link prediction combining copy mechanism network
Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach*
Machine learning and directional switching median-based filter for highly corrupted images
BertHANK: hierarchical attention networks with enhanced knowledge and pre-trained model for answer selection
Multi-view multi-label personalized classification via generalized exclusive sparse tensor factorization
Domain feature transfer-based multi-domain fake news detection
Anytime density-based clustering of complex data
Improved concept drift handling in surgery prediction and other applications
A hybrid image restoration approach: fuzzy logic and directional weighted median based uniform impulse noise removal
A new last aggregation method of multi-attributes group decision making based on concepts of TODIM, WASPAS and TOPSIS under interval-valued intuitionistic fuzzy uncertainty
Collective Mining of Bayesian Networks from Distributed Heterogeneous Data
Tractable queries on big data via preprocessing with logarithmic-size output
Knowledge-based system for three-way decision-making under uncertainty
L-BiX: incremental sliding-window aggregation over data streams using linear bidirectional aggregating indexes
High average-utility sequential pattern mining based on uncertain databases
An experimental study of graph-based semi-supervised classification with additional node information
Efficient mining of sequential patterns with time constraints by delimited pattern growth
Connectedness-based subspace clustering
A Compact Co-Evolutionary Algorithm for sensor ontology meta-matching
On efficiently mining high utility sequential patterns
Attentive neural controlled differential equations for time-series classification and forecasting
Markov enhanced graph attention network for spammer detection in online social network
Directed dynamic attribute graph anomaly detection based on evolved graph attention for blockchain
Self-supervised learning for neural topic models with variance-invariance-covariance regularization
SR-HetGNN: session-based recommendation with heterogeneous graph neural network
EIGP: document-level event argument extraction with information enhancement generated based on prompts
Concept drift detection and accelerated convergence of online learning
Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set
Predicting hypernym-hyponym relations for Chinese taxonomy learning
A survey of recent methods on deriving topics from Twitter: algorithm to evaluation
Density-preserving projections for large-scale local anomaly detection
A comprehensive ensemble pruning framework based on dual-objective maximization trade-off
Extend tree edit distance for effective object identification
A novel approach for dynamic portfolio management integrating K-means clustering, mean-variance optimization, and reinforcement learning
A semantic-based methodology for the management of document workflows in e-government: a case study for judicial processes
Resling: a scalable and generic framework to mine top-k representative subgraph patterns
Data classification through an evolutionary approach based on multiple criteria
A comprehensive review of product recommendation systems using deep learning techniques
Few-shot partial multi-label learning with synthetic features network
Editorial: special issue on selected papers of PAKDD 2007
Exploring overlapping clusters using dynamic re-scaling and sampling
Answering ordered tree pattern queries over fuzzy XML data
Merging local patterns using an evolutionary approach
A countably infinite mixture model for clustering and feature selection
The ClusTree: indexing micro-clusters for anytime stream mining
ProSecCo: progressive sequence mining with convergence guarantees
Classification of multivariate time series via temporal abstraction and time intervals mining
A new order relation for Pythagorean fuzzy numbers and application to multi-attribute group decision making
Spatial-temporal compression and recovery in a wireless sensor network in an underground tunnel environment
A graph-based approach for minimising the knowledge requirement of explainable recommender systems
The antecedents and outcomes of accounting information systems usage: the indirect effect of IT knowledge
Graph transfer learning
Maximal Δ-biclique enumeration in temporal bipartite graphs
A framework for modeling positive class expansion with single snapshot
Automatic role identification for research teams with ranking multi-view machines
Efficient parameter learning for Bayesian Network classifiers following the Apache Spark Dataframes paradigm
Adaptive goal selection for agents in dynamic environments
Optimizing the number of branches in a decision forest using association rule metrics
TAILOR: time-aware facility location recommendation based on massive trajectories
Recommender systems with selfish users
Link prediction in evolving heterogeneous networks using the NARX neural networks
Node similarity in the citation graph
Local bilateral clustering for identifying research topics and groups from bibliographical data
Novelets: a new primitive that allows online detection of emerging behaviors in time series
ADWIN-U: adaptive windowing for unsupervised drift detection on data streams
Inductive database languages: requirements and examples
Ensembled Bayesian tabular data generator
Visual domain adaptation via transfer feature learning
Location privacy: going beyond K-anonymity, cloaking and anonymizers
Multi-representation web service recommendation system based on attention mechanism
A comprehensive bibliometric analysis on social network anonymization: current approaches and future directions
A visual programming tool for mobile web augmentation
DecodEM-X: advancing multimodal meme moderation with robust AI frameworks
Interpreting PET scans by structured patient data: a data mining case study in dementia research
Scalable multi-view subspace clustering with kernel alignment
An new immune genetic algorithm based on uniform design sampling
Discovering and Analyzing World Wide Web Collections
The (black) art of runtime evaluation: Are we comparing algorithms or implementations?
KerGNNT: an interpretable graph neural network recommendation model
Federated cross-domain recommendation system based on bias eliminator and personalized extractor
Utilizing the influence of multiple potential factors for social recommendation
Service cost-based resource optimization and load balancing for edge and cloud environment
Evaluating intelligent knowledge systems: experiences with a user-adaptive assistant agent
A new semantic relatedness measurement using WordNet features
Mining fastest path from trajectories with multiple destinations in road networks
PowerDB-IR - Scalable Information Retrieval and Storage with a Cluster of Databases
Graph theory-based mathematical modeling and analysis to predict a football dream team
A new emotional robot assistant that facilitates human interaction and persuasion
Large-scale knowledge graph representation learning
A survey of sentiment analysis in social media
Caption matters: a new perspective for knowledge-based visual question answering
Visualisation and interaction for scientific exploration and knowledge discovery
Fisher score and Matthews correlation coefficient-based feature subset selection for heart disease diagnosis using support vector machines
The pairwise attribute noise detection algorithm
An effective dissimilarity measure for clustering of high-dimensional categorical data
Text document clustering using global term context vectors
Scan: A Hierarchical Algorithm for Similarity Search in Databases Consisting of Long Sequences
Topic-aware social influence propagation models
rFILTA: relevant and nonredundant view discovery from collections of clusterings via filtering and ranking
Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering
Sparse dynamic topic model with topic birth and death over time
Clinical evidence framework for Bayesian networks
Local recovery and partial snapshot in distributed stateful stream processing
A document-sensitive graph model for multi-document summarization
Factors influencing open science participation through research data sharing and reuse among researchers: a systematic literature review
Efficient approaches for multi-agent planning
Collaboratively weighted naive Bayes
Argument mining based on a structured database and its usage in an intelligent tutoring environment
Effective data summarization for hierarchical clustering in large datasets
Data clustering using side information dependent Chinese restaurant processes
Deep reinforcement learning-based scheduling in distributed systems: a critical review
A content-search information retrieval process based on conceptual graphs
ETM-F: an enriched topic modeling and filtration framework integrating ontologies and deep learning for biomedical trend analysis
Human identification through panoramic dental radiographs: a novel matching approach
A customized balanced-objective genetic algorithm for task scheduling in reconfigurable computing systems
The significance of Kappa and F-score in clustering ensemble: a comprehensive analysis
An EEG-based subject-independent emotion recognition model using a differential-evolution-based feature selection algorithm
The impact of data difficulty factors on classification of imbalanced and concept drifting data streams
Practical protocol for Yao's millionaires problem enables secure multi-party computation of metrics and efficient privacy-preserving k -NN for large data sets
On augmenting database schemas by latent visual attributes
Defining and evaluating network communities based on ground-truth
Fast spatial autocorrelation
Temporal popularity prediction of locations for geographical placement of retail stores
xCrawl: a high-recall crawling method for Web mining
CITIESData: a smart city data management framework
Efficient clustering of uncertain data streams
CI IR : an approach to handle class imbalance using a novel feature selection technique
Towards graphical models for text processing
Meta-analysis of evaluation methods and metrics used in context-aware scholarly recommender systems
Optimizing feature selection with genetic algorithms: a review of methods and applications
Web image indexing by using associated texts
Bridging structured and unstructured data via hybrid semantic search and interactive ontology-enhanced query formulation
Implicit knowledge-augmented prompting for commonsense explanation generation
Efficient mining of discriminative co-clusters from gene expression data
Hyperparameter elegance: fine-tuning text analysis with enhanced genetic algorithm hyperparameter landscape
Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise
Community-preserving anonymization of graphs
A trust-based detection scheme to explore anomaly prevention in social networks
Sensor data analysis for equipment monitoring
Complementary incomplete weighted concept factorization methods for multi-view clustering
CETen: category-enhanced local- and global-attention Transformer encoder for news recommendation
Probabilistic graph model and neural network perspective of click models for web search
Constrained pattern mining in the new era
Bridging the gap between expressivity and efficiency in stream reasoning: a structural caching approach for IoT streams
Ontology extension with NLP-based concept extraction for domain experts in catalytic sciences
Greedy centroid initialization for federated K-means
An information-theoretic approach to quantitative association rule mining
SAFE: An Efficient Feature Extraction Technique
Minimum spanning tree clustering approach for effective feature partitioning in multi-view ensemble learning
Multi-sorting algorithm for finding pairs of similar short substrings from large-scale string data
Discovering compressing serial episodes from event sequences
Mining dynamic association rules with comments
Missing value estimation for microarray data through cluster analysis
Mining incomplete survey data through classification
An automated approach for binary classification on imbalanced data
New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach
Isolation Kernel Estimators
Sequential uncertainty quantification with contextual tensors for social targeting
A binary decision diagram based approach for mining frequent subsequences
A multi-strategy chimp optimization algorithm for solving global and constraint engineering problems
A scalable and effective rough set theory-based approach for big data pre-processing
Reliable detection of episodes in event sequences
Sarcasm detection using optimized bi-directional long short-term memory
XSD: A Hierarchical Access Method for Indexing XML Schemata
Manifold clustering optimized by adaptive aggregation strategy
COAT: COnstraint-based anonymization of transactions
Time-weighted counting for recently frequent pattern mining in data streams
How you move reveals who you are: understanding human behavior by analyzing trajectory data
Neural networks for model-free and scale-free automated planning
Addressing popularity discrepancy in collaborative filtering
Data-driven valued dominance relation in incomplete ordered decision system
Overview of the crowdsourcing process
Effective record linkage for mining campaign contribution data
Methods for mining frequent items in data streams: an overview
Feature extraction from null and non-null spaces of kernel local discriminant embedding
Knowledge Bases with Output
Coordination with erroneous communication: results of an agent-based simulation
Local soft rough approximations and their applications to conflict analysis problems
Spatio-Temporal Analysis with the Self-Organizing Feature Map
Speeding up dynamic time warping distance for sparse time series data
Fast and exact out-of-core and distributed k -means clustering
Lexifield: a system for the automatic building of lexicons by semantic expansion of short word lists
A comprehensive survey on statistical and deep learning models for panel data analysis
Overlapping correlation clustering
A timely personalized comments generation assistant based on LSTM-SNP
Adapting naive Bayes tree for text classification
ActiveCBR: An Agent System That Integrates Case-Based Reasoning and Active Databases
Knowledge discovery through interpretable decision rules: a framework for ranking researchers from bibliometric data
A differentially private algorithm for range queries on trajectories