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dc.contributor.author Muhammad Hunain Nasir, 01-134112-040
dc.date.accessioned 2022-12-30T07:07:09Z
dc.date.available 2022-12-30T07:07:09Z
dc.date.issued 2015
dc.identifier.uri http://hdl.handle.net/123456789/14569
dc.description Supervised by Dr. Muhammad Hunain Nasir en_US
dc.description.abstract This intelligent system will allow the user to get updated according to the algorithm being implemented. It will save click-sequences of users and will export them to a file. After the recommendation of Intelligent Engine it updates V-NAV A. Secondly the system will export negative sequences. Data mining Algorithms will be implemented in V-NAV B which works with V -NA V A. System will acquire a dat file with described attributes as input. Firstly, system will extract the sequences of each user separately. Secondly, the system will calculate all the events from all the users. Further, system will calculate the support of each event or sub sequence by counting the occurrences of a particular event or sequence in the main sequence. After that, System will merge all the partially similar sequences to make a single one out of them. In the last step, system will conclude the positive sequential patterns on the basis of merged sequences. Using the same file, System will extract the sequences of PSP, users and Events details. Secondly, system will maintain the subset of all possible negative support. Further system will calculate the differences of the supports of the sequences with respect to negative sequences. In the end system will conclude the NSPs from the differences. en_US
dc.language.iso en en_US
dc.publisher Computer Sciences en_US
dc.relation.ispartofseries BS (CS);P-5399
dc.subject V-NAV B en_US
dc.title V-NAV B en_US
dc.type Project Reports en_US


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