Semi-supervised single-label text categorization using centroid-based classifiers, Proceedings of the 2007 ACM symposium on Applied computing , SAC '07, pp.844-851, 2007. ,
DOI : 10.1145/1244002.1244189
Ranking Objects by Exploiting, Relationships: Computing Top-K over Aggregation, Proc. ACM SIGMOD Int'l Conf. on Management of Data (SIGMOD '06), pp.371-382, 2006. ,
RFID-data compression for supporting aggregate queries, ACM Transactions on Database Systems, vol.38, issue.2, pp.11-45, 2013. ,
DOI : 10.1145/2487259.2487263
Ranking using multiple document types in desktop search, Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval, SIGIR '10, pp.50-57, 2010. ,
DOI : 10.1145/1835449.1835461
URL : http://ciir-publications.cs.umass.edu/pub/web/getpdf.php?id=915
A model for multi-label classification and ranking of learning objects, Expert Systems with Applications, vol.39, issue.10, pp.8878-8884, 2012. ,
DOI : 10.1016/j.eswa.2012.02.021
Optimal top-k generation of attribute combinations based on ranked lists, Proceedings of the 2012 international conference on Management of Data, SIGMOD '12, pp.409-420, 2012. ,
DOI : 10.1145/2213836.2213883
A Survey of Hierarchical Classification Across Different Application Domains, Data Mining and Knowledge DiscoveryVol, pp.31-72, 2011. ,
Large scale multi-label classification via metalabeler, Proceedings of the 18th international conference on World wide web, WWW '09, pp.211-220, 2009. ,
DOI : 10.1145/1526709.1526738
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.215.7109
Personalized ranking model adaptation for web search, Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval, SIGIR '13, pp.323-332, 2013. ,
DOI : 10.1145/2484028.2484068
Object class detection, ACM Computing Surveys, vol.46, issue.1, pp.10-53, 2013. ,
DOI : 10.1145/2522968.2522978
Matching heterogeneous event data, Proceedings of the 2014 ACM SIGMOD international conference on Management of data, SIGMOD '14, pp.1211-1222, 2014. ,
DOI : 10.1145/2588555.2588570
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.649.1435