One solution to process and analysis of massive graphs is summarization. Generating a high quality summary is the main challenge of graph summarization. In the aims of generating a summary with a better quality for a given attributed graph, both structural and attribute similarities must be considered. There are two measures named density and entropy to evaluate the quality of structural and at...

Graph summarization is beneficial in a wide range of applications, such as visualization, interactive and exploratory analysis, approximate query processing, reducing the on-disk storage footprint, graph processing modern hardware. However, bulk literature on surprisingly overlooks possibility having edges different types. In this paper, we study novel problem producing summaries multi-relation...

With the rapid growth of internet also there is increase in on-line text document. Accessing such huge number of electronic textual documents creates challenge in front of user. It requires user to analyze the searched results one by one until satisfied information is acquired, which is time consuming process. Summary of document helps user to know about the page is about what? There are differ...

We summarize full-length movies by creating shorter videos containing their most informative scenes. explore the hypothesis that a summary can be created assembling scenes which are turning points (TPs), i.e., key events in movie describe its storyline. propose model identifies TP building sparse graph represents relations between and is constructed using multimodal information. According to hu...

The rapid development of technologies produce enormous amount data which have lot hidden insights. Extracting these insights are challengeable for researchers and industrialists. Most the in textual unstructured format. Text mining is prominent research area that has being utilized analysis. Document summarization an effective application provides summary given content. This work mainly focused...