Survey on Mining Semantically Consistent Patterns for Cross-View Data

Abstract

We often face the situation that the similar information is represented by different views with different backgrounds, in some real world applications such as Information Retrieval and Data classification. So it becomes necessary for those applications to obtain a certain Semantically Consistent Patterns (SCP) for cross-view data, which embeds the complementary information from different views. However, eliminating heterogeneity among cross-view representations is a significant challenge in mining the SCP. This paper reviews the research work on a general framework to discover the SCP for cross-view data web crawling algorithms used on searching a general framework to discover the SCP for cross-view data.
DOI: 10.17762/ijritcc2321-8169.1604116