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Knowledge And Information Systems (KAIS) - April 2018, issue 1 论文列表

本期论文列表
Exploiting reciprocity toward link prediction

Modeling recurring concepts in data streams: a graph-based framework

Learning patterns for discovering domain-oriented opinion words

An efficient path computing model for measuring semantic similarity using edge and density

A many-sorted theory proposal for information retrieval: axiomatization and semantics

The largest empty circle with location constraints in spatial databases

Active instance matching with pairwise constraints and its application to Chinese knowledge base construction

Simulated annealing-based immunodominance algorithm for multi-objective optimization problems

Artificial bee colony-based support vector machines with feature selection and parameter optimization for rule extraction

Core techniques of question answering systems over knowledge bases: a survey

Graph-based review spammer group detection

Discovering topic structures of a temporally evolving document corpus

Dynamic argumentation in UbiGDSS

Heterogeneous representation learning with separable structured sparsity regularization

Time series classification with feature covariance matrices

Reducing uncertainties in land cover change models using sensitivity analysis

GLEAM: a graph clustering framework based on potential game optimization for large-scale social networks

Mobile Apps identification based on network flows

Forgetting techniques for stream-based matrix factorization in recommender systems

STEM: a suffix tree-based method for web data records extraction

Link prediction in evolving heterogeneous networks using the NARX neural networks

On mining approximate and exact fault-tolerant frequent itemsets

Predicting high-risk students using Internet access logs

Distributed robust Gaussian Process regression

Pythagorean fuzzy mathematical programming method for multi-attribute group decision making with Pythagorean fuzzy truth degrees

Estimating global opinions by keeping users from fraud in online review systems

Self-labeling techniques for semi-supervised time series classification: an empirical study