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Knowledge And Information Systems （KAIS） - April 2021, 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 2021, issue 4
发布时间：
卷期年份： 2021
卷期官网： https://link.springer.com/journal/10115/volumes-and-issues/63-4
本期论文列表
RELINE: point-of-interest recommendations using multiple network embeddings

Natural language question answering over knowledge graph: the marriage of SPARQL query and keyword search

Transfer learning for fine-grained entity typing

Towards metrics-driven ontology engineering

AQUA+: Query Optimization for Hybrid Database-MapReduce System

Tracking triadic cardinality distributions for burst detection in high-speed graph streams

Selectivity estimation with density-model-based multidimensional histogram

Distributed processing of regular path queries in RDF graphs

Multi-layer linear embedding with feature subset selection

Location selection by multi-criteria decision-making methods based on objective and subjective weightings

Short isometric shapelet transform for binary time series classification

Collaboration prediction in heterogeneous academic network with dynamic structure and topic

Recipe analysis for knowledge discovery of gastronomic dishes

A generic MOT boosting framework by combining cues from SOT, tracklet and re-identification

Improved incremental local outlier detection for data streams based on the landmark window model

Cross- and multiple-domains visual transfer learning via iterative Fischer linear discriminant analysis

Generalising combinatorial discriminant analysis through conditioning truncated Rayleigh flow

Improving security in NoSQL document databases through model-driven modernization

Causal inference for time series analysis: problems, methods and evaluation

ProAID: path-based reasoning for self-attentional disease prediction

Neural networks for model-free and scale-free automated planning

PGT: news recommendation coalescing personal and global temporal preferences

Collaboratively weighted naive Bayes

Pruning strategies for the efficient traversal of the search space in PILP environments

Discovering fortress-like cohesive subgraphs

A differentially private algorithm for range queries on trajectories

Learning credible DNNs via incorporating prior knowledge and model local explanation

A relative position attention network for aspect-based sentiment analysis

BestNeighbor: efficient evaluation of kNN queries on large time series databases

Statistical model for reproducibility in ranking-based feature selection

CANE: community-aware network embedding via adversarial training

Anytime mining of sequential discriminative patterns in labeled sequences

A repairing missing activities approach with succession relation for event logs

A graph grammar and \(K_{4}\)-type tournament-based approach to detect conflicts of interest in a social network

Partial multi-label learning with noisy side information

e-Recruitment recommender systems: a systematic review

Geometric consistency of triangular fuzzy multiplicative preference relation and its application to group decision making

Learning cell embeddings for understanding table layouts

A POI recommendation approach integrating social spatio-temporal information into probabilistic matrix factorization

Transferring trading strategy knowledge to deep learning models

Incremental one-class collaborative filtering with co-evolving side networks

Adversarially regularized medication recommendation model with multi-hop memory network

Multiscale Laplacian graph kernel combined with lexico-syntactic patterns for biomedical event extraction from literature

Hashtag recommendation for short social media texts using word-embeddings and external knowledge

Specifying and computing causes for query answers in databases via database repairs and repair-programs

Dealing with heterogeneity in the context of distributed feature selection for classification

Learning from evolving data streams through ensembles of random patches

A Nested Two-Stage Clustering Method for Structured Temporal Sequence Data

A novel cluster-based approach for keyphrase extraction from MOOC video lectures

Attentive multi-task learning for group itinerary recommendation

A streaming edge sampling method for network visualization

A meta-algorithm for finding large k-plexes

A study on using data clustering for feature extraction to improve the quality of classification

Feature extraction for chart pattern classification in financial time series

Anonymous location sharing in urban area mobility

GrAFCI+ A fast generator-based algorithm for mining frequent closed itemsets

An integrated approach using IF-TOPSIS, fuzzy DEMATEL, and enhanced CSA optimized ANFIS for software risk prediction

Application of genetic algorithm-based intuitionistic fuzzy weighted c-ordered-means algorithm to cluster analysis

Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect

Comparing ontologies and databases: a critical review of lifecycle engineering models in manufacturing

Deep graph transformation for attributed, directed, and signed networks

Incremental communication patterns in online social groups

Efficient discovery of co-location patterns from massive spatial datasets with or without rare features

Discovering cluster evolution patterns with the Cluster Association-aware matrix factorization

The impact of data difficulty factors on classification of imbalanced and concept drifting data streams

Progressive approaches to flexible group skyline queries

Efficient unsupervised drift detector for fast and high-dimensional data streams

A word embedding-based approach to cross-lingual topic modeling

Metro passengers counting and density estimation via dilated-transposed fully convolutional neural network

Advancing synthesis of decision tree-based multiple classifier systems: an approximate computing case study

Closed form word embedding alignment

Warped softmax regression for time series classification

A hybrid neural network approach to combine textual information and rating information for item recommendation

L-ideals and rough sets based on L-ideals

Improving spectral clustering with deep embedding, cluster estimation and metric learning

Auto-labelling entities in low-resource text: a geological case study

Saliency-based YOLO for single target detection

Deep dynamic neural networks for temporal language modeling in author communities

Efficient computation of deletion-robust k-coverage queries

PE-MSC: partial entailment-based minimum set cover for text summarization

Cost-sensitive selection of variables by ensemble of model sequences

A scalable framework for large time series prediction

PPNW: personalized pairwise novelty loss weighting for novel recommendation

Kernel-based regression via a novel robust loss function and iteratively reweighted least squares

Learning diffusion model-free and efficient influence function for influence maximization from information cascades

Expert-driven trace clustering with instance-level constraints

Unifying community detection and network embedding in attributed networks

Mining discriminative itemsets in data streams using the tilted-time window model

DyFT: a dynamic similarity search method on integer sketches

Word and graph attention networks for semi-supervised classification

Transfer alignment network for blind unsupervised domain adaptation

Adaptive weighted least squares regression for subspace clustering

Data-driven valued dominance relation in incomplete ordered decision system

An experimental analysis on evolutionary ontology meta-matching

Generalized maximal utility for mining high average-utility itemsets

3-3FS: ensemble method for semi-supervised multi-label feature selection

Semantic enrichment of documents: a classification perspective for ontology-based imbalanced semantic descriptions

Model complexity of deep learning: a survey

Bypassing combinatorial explosions in equivalence structure extraction

DORIC: discovering topological relations based on spatial link composition

Pseudo support vector domain description to train large-size and continuously growing datasets

A turning point prediction method of stock price based on RVFL-GMDH and chaotic time series analysis

Improvements on approximation algorithms for clustering probabilistic data

Simple Question Answering over Knowledge Graph Enhanced by Question Pattern Classification

Extensible ontology-based views for business process models

HAR-sEMG: A Dataset for Human Activity Recognition on Lower-Limb sEMG

Data stream classification with novel class detection: a review, comparison and challenges

On augmenting database schemas by latent visual attributes

On entropy-based term weighting schemes for text categorization

A generative model for time evolving networks

Tweet-scan-post: a system for analysis of sensitive private data disclosure in online social media

OpenWGL: open-world graph learning for unseen class node classification

Toward data-driven solutions to interactive dynamic influence diagrams

Privacy protection of user profiles in online search via semantic randomization

Deep reinforcement learning-based resource allocation and seamless handover in multi-access edge computing based on SDN

Sharp characterization of optimal minibatch size for stochastic finite sum convex optimization

Imputing sentiment intensity for SaaS service quality aspects using T-nearest neighbors with correlation-weighted Euclidean distance