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Knowledge And Information Systems （KAIS） - April 2022, issue 4 论文列表

点击这里查看 Knowledge And Information Systems 的JCR分区、影响因子等信息
卷期号： April 2022, issue 4
发布时间：
卷期年份： 2022
卷期官网： https://link.springer.com/journal/10115/volumes-and-issues/64-4
本期论文列表
From distributed machine learning to federated learning: a survey

Fast spatial autocorrelation

Feature-blind fairness in collaborative filtering recommender systems

Efficient itinerary recommendation via personalized POI selection and pruning

NeuCrowd: neural sampling network for representation learning with crowdsourced labels

Omen: discovering sequential patterns with reliable prediction delays

Empirical comparison of supervised learning techniques for missing value imputation

Preventing active re-identification attacks on social graphs via sybil subgraph obfuscation

Chinese adversarial examples generation approach with multi-strategy based on semantic

Fuzzy modified cuckoo search for biomedical image segmentation

A review of clique-based overlapping community detection algorithms

Leveraging transfer learning in reinforcement learning to tackle competitive influence maximization

Self-supervised role learning for graph neural networks

Learning from crowds with decision trees

Graph-based PU learning for binary and multiclass classification without class prior

Theoretical backgrounds of Boolean reasoning-based binary n-clustering

BertHANK: hierarchical attention networks with enhanced knowledge and pre-trained model for answer selection

A comprehensive analysis of the diverse aspects inherent to image data stream classification

CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations

DSIM: dynamic and static interest mining for sequential recommendation

Conversational question answering: a survey

Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond

Self-paced annotations of crowd workers

Open dataset discovery using context-enhanced similarity search

A study into patient similarity through representation learning from medical records

A learned index for approximate kNN queries in high-dimensional spaces

Robust multi-label feature selection with shared label enhancement

Risk-aware temporal cascade reconstruction to detect asymptomatic cases

Euler common spatial pattern modulated with cross-frequency coupling

Distributed real-time ETL architecture for unstructured big data

Multiresolution hierarchical support vector machine for classification of large datasets

Iterative sliding window aggregation for generating length-scale-specific fractal features

Determining maximum cliques for community detection in weighted sparse networks

Named entity disambiguation in short texts over knowledge graphs

Large-scale underwater fish recognition via deep adversarial learning

Visionary: a framework for analysis and visualization of provenance data

An efficient lightweight coordination model to multi-agent planning

A hybrid quantum approach to leveraging data from HTML tables

The phantom steering effect in Q&A websites

Computing top-k temporal closeness in temporal networks

Community detection combining topology and attribute information

Fire now, fire later: alarm-based systems for prescriptive process monitoring

A review on matrix completion for recommender systems

Collaborative filtering recommender systems taxonomy

An integrated framework for diagnosing process faults with incomplete features

E2EET: from pipeline to end-to-end entity typing via transformer-based embeddings

Adapting k-means for graph clustering

Random pairwise shapelets forest: an effective classifier for time series

Efficient multi-attribute precedence-based task scheduling for edge computing in geo-distributed cloud environment

Scalable force-directed graph representation learning and visualization

Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs

Modified marine predators algorithm for feature selection: case study metabolomics

A survey on mining and analysis of uncertain graphs

Diagnostic captioning: a survey

A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting

Neural TV program recommendation with heterogeneous attention

Bridging the gap between expressivity and efficiency in stream reasoning: a structural caching approach for IoT streams

CustRE: a rule based system for family relations extraction from english text

Aspect-based sentiment analysis with enhanced aspect-sensitive word embeddings

Trusting deep learning natural-language models via local and global explanations

Random walk on node cliques for high-quality samples to estimate large graphs with high accuracies and low costs

Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification

On measuring network robustness for weighted networks

S-RAP: relevance-aware QoS prediction in web-services and user contexts

Data pricing in machine learning pipelines

Applications of deep learning for phishing detection: a systematic literature review

A graph-based solution for writer identification from handwritten text

Relational metric learning with high-order neighborhood interactions for social recommendation

Are the statistical tests the best way to deal with the biomarker selection problem?

Autonomous graph mining algorithm search with best performance trade-off

An evidence-based credit evaluation ensemble framework for online retail SMEs

Unsupervised model for aspect categorization and implicit aspect extraction

An overview of cluster-based image search result organization: background, techniques, and ongoing challenges

Ensemble of classifier chains and decision templates for multi-label classification

An improved item-based collaborative filtering using a modified Bhattacharyya coefficient and user–user similarity as weight

An improved confusion matrix for fusing multiple K-SVD classifiers

Postimpact similarity: a similarity measure for effective grouping of unlabelled text using spectral clustering

A hidden challenge of link prediction: which pairs to check?

Effective scheduling algorithm for load balancing in fog environment using CNN and MPSO

Attributed community search considering community focusing and latent relationship

NAG: neural feature aggregation framework for credit card fraud detection

Performance evaluation of machine learning for fault selection in power transmission lines

A survey on extraction of causal relations from natural language text

Truth validation with evidence

Semantic-driven multi-camera pedestrian detection

Context mining and graph queries on giant biomedical knowledge graphs

MEBC: social network immunization via motif-based edge-betweenness centrality

Multimedia ontology population through semantic analysis and hierarchical deep features extraction techniques

Span-based relational graph transformer network for aspect–opinion pair extraction

Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation

Modeling and predicting students’ engagement behaviors using mixture Markov models

How do I update my model? On the resilience of Predictive Process Monitoring models to change

A study of approaches to answering complex questions over knowledge bases

Growth patterns and models of real-world hypergraphs

Powered Dirichlet–Hawkes process: challenging textual clustering using a flexible temporal prior

An overview of high utility itemsets mining methods based on intelligent optimization algorithms

RDF-Gen: generating RDF triples from big data sources

MICAR: nonlinear association rule mining based on maximal information coefficient

Which is better? A modularized evaluation for topic popularity prediction

Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging

Knowledge distillation for BERT unsupervised domain adaptation

Improved optimization parameters prediction using the modified mega trend diffusion function for a small dataset problem

Learning to hash: a comprehensive survey of deep learning-based hashing methods

Learning dataset representation for automatic machine learning algorithm selection

A framework for personalized recommendation with conditional generative adversarial networks

Missing value estimation of microarray data using Sim-GAN

Anomaly detection in the context of long-term cloud resource usage planning

A multi-objective optimization approach to package delivery by the crowd of occupied taxis

Parity-based cumulative fairness-aware boosting

NEAWalk: Inferring missing social interactions via topological-temporal embeddings of social groups

Elastic distances for time-series classification: Itakura versus Sakoe-Chiba constraints

Hybrid online–offline learning to rank using simulated annealing strategy based on dependent click model

A survey on review summarization and sentiment classification

gRosSo: mining statistically robust patterns from a sequence of datasets

Approximate posterior inference for Bayesian models: black-box expectation propagation

Fuzzy entropy functions based on perceived uncertainty

A novel approach for optimization of convolution neural network with hybrid particle swarm and grey wolf algorithm for classification of Indian classical dances

Complex Attributed Network Embedding for medical complication prediction

Graph attention-based collaborative filtering for user-specific recommender system using knowledge graph and deep neural networks

A cooperative treatment of the plethoric answers problem in RDF

Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach

Graph relation embedding network for click-through rate prediction