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Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.
For example, the set cover problem is a special case of submodular optimization, since the set cover function is submodular. The set cover function attempts to find a subset of objects which cover a given set of concepts. For example, in document summarization, one would like the summary to cover all important and relevant concepts in the document.
With vertical partitioning, for a query, RCFile will only read necessary columns from disks and thus can eliminate the unnecessary local I/O costs. Moreover, in every row group, data compression can be done by using compression algorithms used in column-store. For example, a database might have this table:
Edit-tricks are most useful when multiple tables must be changed, then the time needed to develop complex edit-patterns can be applied to each table. For each table, insert an alpha-prefix on each column (making each row-token "|-" to sort as column zero, like prefix "Row124col00"), then sort into a new file, and then de-prefix the column entries.
If there are multiple columns select the top left data cell (not the header cell or this will not work). Then Shift-click on the bottom right data cell. This will select all the data cells. Don't select any text or date cells. Or deselect just the text or date cells by ctrl-click. Click "number format" from the format menu. Then click ...
Executive summaries are important as a communication tool in both academia and business. For example, members of Texas A&M University's Department of Agricultural Economics observe that "An executive summary is an initial interaction between the writers of the report and their target readers: decision makers, potential customers, and/or peers.
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Pileup format is a text-based format for summarizing the base calls of aligned reads to a reference sequence. This format facilitates visual display of SNP /indel calling and alignment. It was first used by Tony Cox and Zemin Ning at the Wellcome Trust Sanger Institute , and became widely known through its implementation within the SAMtools ...