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Knowledge Based Systems （KBS） - Volume 163 论文列表

点击这里查看 Knowledge Based Systems 的JCR分区、影响因子等信息
卷期号： Volume 163
发布时间： 1 January 2019
卷期年份： 2019
卷期官网： https://www.sciencedirect.com/journal/knowledge-based-systems/vol/163/suppl/C
本期论文列表
Editorial Board

Experimental explorations on short text topic mining between LDA and NMF based Schemes

A generation-based optimal restart strategy for surrogate-assisted social learning particle swarm optimization

Polygonal data analysis: A new framework in symbolic data analysis

Intelligent operation of heavy haul train with data imbalance: A machine learning method

Locality-constrained least squares regression for subspace clustering

Kernelized Elastic Net Regularization based on Markov selective sampling

An improved path-based clustering algorithm

Improved fireworks algorithm with information exchange for function optimization

Metric-based L-fuzzy rough sets: Approximation operators and definable sets

Sequential three-way classifier with justifiable granularity

Approximate logic neuron model trained by states of matter search algorithm

Optimal granularity selection based on cost-sensitive sequential three-way decisions with rough fuzzy sets

Joint multi-label classification and label correlations with missing labels and feature selection

Short-term electricity load forecasting based on feature selection and Least Squares Support Vector Machines

Transfer subspace learning via low-rank and discriminative reconstruction matrix

A new three-dimensional encoding multiobjective evolutionary algorithm with application to the portfolio optimization problem

M-Skyline: Taking sunk cost and alternative recommendation in consideration for skyline query on uncertain data

Large scale distributed spatio-temporal reasoning using real-world knowledge graphs

Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding

Ensemble-based overlapping community detection using disjoint community structures

Enhancing semantic image retrieval with limited labeled examples via deep learning

An adaptive point-of-interest recommendation method for location-based social networks based on user activity and spatial features

Atom search optimization and its application to solve a hydrogeologic parameter estimation problem

Revisiting inconsistent judgments for incomplete fuzzy linguistic preference relations: Algorithms to identify and rectify ordinal inconsistencies

Incremental approaches for feature selection from dynamic data with the variation of multiple objects

CNN and RNN based payload classification methods for attack detection

An approach to XBRL interoperability based on Ant Colony Optimization algorithm

Evidential reasoning approach with multiple kinds of attributes and entropy-based weight assignment

Online adaptive machine learning based algorithm for implied volatility surface modeling

Unsupervised classification of 12-lead ECG signals using wavelet tensor decomposition and two-dimensional Gaussian spectral clustering

An incremental method to detect communities in dynamic evolving social networks

A stratified sampling based clustering algorithm for large-scale data

Topic-enhanced emotional conversation generation with attention mechanism

Planetary gearbox fault feature learning using conditional variational neural networks under noise environment

Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection

Forecasting short-term traffic speed based on multiple attributes of adjacent roads

Singular value decomposition based recommendation using imputed data

A large-group emergency risk decision method based on data mining of public attribute preferences

Low-rank kernel learning for graph-based clustering

A survey of multiple types of text summarization with their satellite contents based on swarm intelligence optimization algorithms

Novel orthogonal based collaborative dictionary learning for efficient face recognition

Automatic data clustering using nature-inspired symbiotic organism search algorithm

Evolutionary game theory approach to materialized view selection in data warehouses

An improvement decomposition-based multi-objective evolutionary algorithm using multi-search strategy

An application of fuzzy-logic and grey-relational ANP-based SWOT in the ceramic and tile industry

AMIDST: A Java toolbox for scalable probabilistic machine learning

Prediction of DNA-binding proteins by interaction fusion feature representation and selective ensemble

A filter model for intrusion detection system in Vehicle Ad Hoc Networks: A hidden Markov methodology

Nonnegative matrix factorization for clustering ensemble based on dark knowledge

A two-stage social trust network partition model for large-scale group decision-making problems

User preferences modeling using dirichlet process mixture model for a content-based recommender system

Low-resolution image categorization via heterogeneous domain adaptation

Finding tendencies in streaming data using Big Data frequent itemset mining

Bi-objective optimization for integrating quay crane and internal truck assignment with challenges of trucks sharing

New label noise injection methods for the evaluation of noise filters

Selection-based resampling ensemble algorithm for nonstationary imbalanced stream data learning

Learning Fuzzy Cognitive Maps with modified asexual reproduction optimisation algorithm

Dual pattern-enhanced representations model for query-focused multi-document summarisation

Weighted nearest neighbors feature selection

An efficient algorithm for graph edit distance computation

A multitask multiview clustering algorithm in heterogeneous situations based on LLE and LE

Predicting protein structural classes for low-similarity sequences by evaluating different features

The effect of context-dependent information and sentence constructions on perceived humanness of an agent in a Turing test

Unsupervised cluster analyses of character networks in fiction: Community structure and centrality

Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures

Multi-step forecasting for big data time series based on ensemble learning

Structural regularization in quadratic logistic regression model

Detection of sand dunes on Mars using a regular vine-based classification approach

Dynamic threshold neural P systems

Granularity measures and complexity measures of partition-based granular structures

A procedural texture generation framework based on semantic descriptions

Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance

bupaR: Enabling reproducible business process analysis

TAPON: A two-phase machine learning approach for semantic labelling

Influence Factorization for identifying authorities in Twitter

Knowledge-enhanced document embeddings for text classification

Parallel computing method of deep belief networks and its application to traffic flow prediction

Bayesian LDA for mixed-membership clustering analysis: The Rlda package

Hierarchical feature selection with subtree based graph regularization

A study of graph-based system for multi-view clustering

Best of both worlds: Mitigating imbalance of crowd worker strategic choices without a budget