Information system for image classification based on frequency curve proximity

作者：

Highlights：

• Information system for image classification based on frequency curve proximity.

• Combination of machine learning algorithms to find the most similar object of a set.

• This system can be applied to a wide variety of documents with metadata tags

• The system can be parallelized using Map-Reduce strategies.

摘要

•Information system for image classification based on frequency curve proximity.•Combination of machine learning algorithms to find the most similar object of a set.•This system can be applied to a wide variety of documents with metadata tags•The system can be parallelized using Map-Reduce strategies.

论文关键词：Information system,Similarity search,Frequent itemset mining,Metadata,Image classification

论文评审过程：Received 8 June 2015, Revised 29 August 2016, Accepted 31 August 2016, Available online 14 September 2016, Version of Record 15 October 2016.

论文官网地址：https://doi.org/10.1016/j.is.2016.08.001