Journal of Intelligent Information Systems（JIIS ）的AUGUST 2020, ISSUE 1论文列表

卷期号： August 2020, issue 1

发布时间：

卷期年份： 2020

卷期官网： https://link.springer.com/journal/10844/volumes-and-issues/55-1

Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection

Topic-sentiment evolution over time: a manifold learning-based model for online news

Sentiment analysis using rule-based and case-based reasoning

Modeling cyber-physical systems – a GliderAgent 3.0 perspective

A multi-aspect approach to ontology matching based on Bayesian cluster ensembles

PARASOL: a hybrid approximation approach for scalable frequent itemset mining in streaming data

An updated dashboard of complete search FSM implementations in centralized graph transaction databases

Incorporating communities’ structures in predictions of missing links

The contribution of linked open data to augment a traditional data warehouse

A survey on intention analysis: successful approaches and open challenges

Improve the translational distance models for knowledge graph embedding

Machine learning for music genre: multifaceted review and experimentation with audioset

Automated conversion from natural language query to SPARQL query

System for monitoring road slippery based on CCTV cameras and convolutional neural networks

Analysis of street crime predictors in web open data

Compacting frequent star patterns in RDF graphs

A minimum spanning tree based partitioning and merging technique for clustering heterogeneous data sets

An implicit aspect modelling framework for diversity focused query expansion

A survey on question answering systems over linked data and documents

LTR-expand: query expansion model based on learning to rank association rules

Content-Based Document Image Retrieval Based on Document Modeling

Question retrieval using combined queries in community question answering

ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients’ disease history

Healthcare predictive analytics for disease progression: a longitudinal data fusion approach

Finding discriminatory features from electronic health records for depression prediction