Interesting event detection through hall of fame rankings

Proceedings of the ACM SIGMOD Workshop on Databases and Social Networks, DBSocial 2013

Volumn , Issue , 2013, Pages 7-12

  Alvanaki, Foteini ^a   Ilieva, Evica ^a   Michel, Sebastian ^a   Stupar, Aleksandar ^a  

^a SAARLAND UNIVERSITY   (Germany)

Author keywords

Entity rankings; Events; Hall of fame; Reporting; Top k rankings

Indexed keywords

COMPUTER NETWORKS; INFORMATION SYSTEMS;

ENTITY RANKING; EVENTS; HALL OF FAMES; REPORTING; TOP-K RANKINGS;

PORTALS;

EID: 84880423925     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2484702.2484704     Document Type: Conference Paper

References (18)

1. R. Agrawal, T. Imielinski, and A. N. Swami. Database mining: A performance perspective. IEEE Trans. Knowl. Data Eng., 5(6), 1993.
2. F. Alvanaki, S. Michel, and A. Stupar. Building and maintaining halls of fame over a database. CoRR, abs/1208.1231, 2012.
3. E. Baikousi and P. Vassiliadis. Maintenance of top-k materialized views. Distributed and Parallel Databases, 27(2), 2010.
4. A. X. Chang and C. D. Manning. Sutime: A library for recognizing and normalizing time expressions. LREC, 2012.
5. databasebasketball.com - nba basketball statistics, draft, awards, and history. http://www.databasebasketball.com/.
6. M. A. Hasan, V. Chaoji, S. Salem, J. Besson, and M. J. Zaki. Origami: Mining representative orthogonal graph patterns. ICDM, 2007.
7. K. Järvelin and J. Kekäläinen. Cumulated gain-based evaluation of ir techniques. ACM Trans. Inf. Syst., 20(4), 2002.
8. R. Luce. Lexicographic tradeoff structures. Theory and Decision, 1978.
9. C. Manning and H. Schutze. Foundations of statistical natural language processing. MIT Press, MA, USA, 1999.
10. M. Miah, G. Das, V. Hristidis, and H. Mannila. Standing out in a crowd: Selecting attributes for maximum visibility. ICDE, 2008.
11. Microsoft SQL Server 2008 R2: Feature selection in data mining. http://msdn.microsoft.com/en-us/library/ms175382.aspx.
12. M. D. Smucker, J. Allan, and B. Carterette. A comparison of statistical significance tests for information retrieval evaluation. CIKM, 2007.
13. K. Toutanova, D. Klein, C. D. Manning, and Y. Singer. Feature-rich part-of-speech tagging with a cyclic dependency network. HLT-NAACL, 2003.
14. E. Unger, L. Harn, and V. Kumar. Entropy as a measure of database information. Sixth Annual Computer Security Applications Conference, 1990.
15. K. Yi, H. Yu, J. Yang, G. Xia, and Y. Chen. Efficient maintenance of materialized top-k views. ICDE, 2003.
16. M. A. Yosef, J. Hoffart, I. Bordino, M. Spaniol, and G. Weikum. Aida: An online tool for accurate disambiguation of named entities in text and tables. PVLDB, 4(12), 2011.
17. M. J. Zaki. Efficiently mining frequent trees in a forest: Algorithms and applications. IEEE Trans. Knowl. Data Eng., 17(8), 2005.
18. N. Zhong, C. Liu, Y. Yao, M. Ohshima, M. Huang, and J. Huang. Relational peculiarity oriented data mining. ICDM, 2004.