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* @Pg 7-"executing a bi-directional breadt … * @Pg 7-"executing a bi-directional breadth-first search (bi-BFS) '''utilizing a trie representation of the search structures''' in order to find semantic associations... I couldn't understand the search structure outlined here
* @Pg 10- Memory usage for data-sets of sizes 14, 255, 14, 556 are 20, 270, 10, 501 MBs respectively. In '''2 cases''' there have been '''significant %age drop in storage sizes''' and '''in other 2''' there have been '''increase in storage sizes'''. How can this be explained? (number of resources vs. number of triples for each of them?)
* Casual Question- The motivation is drawn from examples in '''Anti-money Laundering''', '''Threat Assessment''' and '''Risk Assessment'''. However, the system has been tested only for '''Insider Threat Project''', whose expected data set size is small. Aren't above data sets too huge, to keep memory based associations feasible? o keep memory based associations feasible?
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