?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=A+Probabilistic+Model+for+Data+Cube+Compression+and+Query+Approximation&rft.creator=Missaoui%2C+Rokia&rft.creator=Goutte%2C+Cyril&rft.creator=Kouomou+Choupo%2C+Anicet&rft.creator=Boujenoui%2C+Ameur&rft.subject=Statistical+Models&rft.subject=Artificial+Intelligence&rft.description=Databases+and+data+warehouses+contain+an+overwhelming+volume+of+information+that+users+must+wade+through+in+order+to+extract+valuable+and+actionable+knowledge+to+support+the+decision-making+process.++This+contribution+addresses+the+problem+of+automatically+analyzing+large+multidimensional+tables+to+get+a+concise+representation+of+data%2C+identify+patterns+and+provide+approximate+answers+to+queries.%0A%0ASince+data+cubes+are+nothing+but+multi-way+tables%2C+we+propose+to+analyze+the+potential+of+a+probabilistic+modeling+technique%2C+called+non-negative+multi-way+array+factorization%2C+for+approximating+aggregate+and+multidimensional+values.+Using+such+a+technique%2C+we+compute+the+set+of+components+(clusters)+that+best+fit+the+initial+data+set+and+whose+superposition+approximates+the+original+data.+The+generated+components+can+then+be+exploited+for+approximately+answering+OLAP+queries+such+as+roll-up%2C+slice+and+dice+operations.+The+proposed+modeling+technique+will+then+be+compared+against+the+log-linear+modeling+technique+which+has+already+been+used+in+the+literature+for+compression+and+outlier+detection+in+data+cubes.+Finally%2C+three+data+sets+will+be+used+to+discuss+the+potential+benefits+of+non-negative+multi-way+array+factorization.%0A&rft.publisher=Sheridan+Printing&rft.date=2007&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F5702%2F1%2FDOLAP_final.pdf&rft.identifier=++Missaoui%2C+Rokia+and+Goutte%2C+Cyril+and+Kouomou+Choupo%2C+Anicet+and+Boujenoui%2C+Ameur++(2007)+A+Probabilistic+Model+for+Data+Cube+Compression+and+Query+Approximation.++%5BConference+Paper%5D++++(In+Press)++&rft.relation=http%3A%2F%2Fcogprints.org%2F5702%2F