Group topic modeling for academic knowledge discovery

Applied Intelligence

Volumn 36, Issue 4, 2012, Pages 870-886

  Daud, Ali ^a   Muhammad, Faqir ^a,b  

^a INTERNATIONAL ISLAMIC UNIVERSITY   (Pakistan)

^b AIR UNIVERSITY   (Pakistan)

Author keywords

Conference mining; Denser topics; Digital libraries; Group topic modeling; Unsupervised expert finding

Indexed keywords

DENSER TOPICS; ELEMENT LEVEL; EMPIRICAL EVALUATIONS; EXPERT FINDING; GROUP LEVEL; INTRINSIC STRUCTURES; LATENT DIRICHLET ALLOCATIONS; NETWORK CONNECTIVITY;

DIGITAL LIBRARIES; EDUCATION; INDEXING (OF INFORMATION); STATISTICS;

SEMANTICS;

EID: 84862132258     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10489-011-0302-3     Document Type: Article

References (30)

1. C Andrieu ND Freitas A Doucet M Jordan 2003 An introduction to MCMC for machine learning J Mach Learn 50 5 43 1033.68081 10.1023/A:1020281327116
2. Azzopardi L, Girolami M, van Risjbergen K (2003) Investigating the relationship between language model perplexity and IR precision-recall measures. In: Proc of the 26th ACM SIGIR conference on research and development in information retrieval, Toronto, Canada, July 28-August 1, 2003
3. Balabanovic M, Shoham Y (1997) Content-based collaborative recommendation. Commun ACM
4. DM Blei AY Ng MI Jordan 2003 Latent Dirichlet allocation J Mach Learn Res 3 993 1022 1112.68379
5. Blei DM, Lafferty J (2006) Dynamic topic models. In: Proc of 23rd international conference on machine learning (ICML), Pittsburgh, Pennsylvania, USA, June 25-29, 2006
6. Breese J, Heckerman D, Kadie C (1998) Empirical analysis of predictive algorithms for collaborative filtering. In: Proc of the international conference on uncertainty in intelligence (UAI), pp 43-52
7. A Daud J Li L Zhu F Muhammad 2010 Knowledge discovery through directed probabilistic topic models a survey J Front Comput Sci China 4 2 280 301 10.1007/s11704-009-0062-y
8. Daud A, Li J, Zhu L, Muhammad F (2009) Conference mining via generalized topic modeling. In: Buntine W et al (ed) Proc of European conference on machine learning and principles and practices of knowledge discovery in databases (ECML PKDD), Part I. LNAI, vol 5781, pp 244-259
9. M Deshpande G Karypis 2004 Item-based top-n recommendation algorithms ACM Trans Inf Sys 22 1 143 177 10.1145/963770.963776
10. DBLP bibliography database. http://www.informatik.uni-trier.de/~ley/db/
11. Girvan M, Newman MEJ (2002) Community structure in social and biological networks. In: Proc of the national academy of sciences, USA, vol 99, pp 8271-8276
12. Griffiths TL, Steyvers M (2004) Finding scientific topics. In: Proc of the national academy of sciences, pp 5228-5235
13. Hofmann T (1999) Probabilistic latent semantic analysis. In: Proc of the 15th annual conference on uncertainty in artificial intelligence (UAI), Stockholm, Sweden, July 30-August 1, 1999
14. BW Kernighan S Lin 1970 An efficient heuristic procedure for partitioning graphs Bell Syst Tech J 49 291 307 0333.05001
15. Linstead E, Rigor P, Bajracharya S, Lopes C, Baldi P (2007) Mining eclipse developer contributions via author-topic models. In: 29th international conference on software engineering workshops (ICSEW)
16. Ley M (2002) The DBLP computer science bibliography: evolution, research issues, perspectives. In: Proc of the international symposium on string processing and information retrieval (SPIRE), Lisbon, Portugal, September 11-13, 2002, pp 1-10
17. McCallum A, Nigam K, Ungar LH (2000) Efficient clustering of high-dimensional data sets with application to reference matching. In: Proc of the 6th ACM SIGKDD conference on knowledge discovery and data mining, Boston, MA, USA, August 20-23, 2000, pp 169-178
18. Popescul A, Flake GW, Lawrence S et al. (2000) Clustering and identifying temporal trends in document databases. IEEE Adv Digit Libr 173-182
19. A Pothen H Simon KP Liou 1990 Partitioning sparse matrices with eigenvectors of graphs SIAM J Matrix Anal Appl 11 430 452 1054210 0711.65034 10.1137/0611030
20. Radicchi F, Castellano C, Cecconi F et al (2004) Dening and identifying communities in networks. In: Proc of the national academy of sciences, USA
21. Rosen-Zvi M, Griffiths T, Steyvers M, Smyth P (2004) The author-topic model for authors and documents. In: Proc of the 20th international conference on uncertainty in artificial intelligence (UAI), Banff, Canada, July 7-11 2004
22. Tang J, Zhang J, Yao L, Li J, Zhang L, Su Z (2008) ArnetMiner: extraction and mining of academic social networks. In: Proc of the 14th ACM SIGKDD international conference on knowledge discovery and data mining (SIGKDD), Las Vegas, USA, August 24-27, 2008
23. Tyler JR, Wilkinson DM, Huberman BA (2003) Email as spectroscopy: automated discovery of community structure within organizations. In: Proc of the international conference on communities and technologies, pp 81-96
24. Wang X, McCallum A (2006) Topics over time: a non-Markov continuous-time model of topical trends. In: Proc of the 12th ACM SIGKDD international conference on knowledge discovery and data mining, Philadelphia, USA, August 20-23, 2006
25. Wang J, Xu C, Li G, Dai Z, Luo G (2007) Understanding research field evolving and trend with dynamic Bayesian networks. In: Proc of the PAKDD
26. Zaiane OR, Chen J, Goebel R (2007) DBconnect: mining research community on DBLP data. In: Joint 9th WEBKDD and 1st SNA-KDD workshop, San Jose, California, USA, August 12, 2007
27. Zhang J, Tang J, Liang B et al (2008) Recommendation over a heterogeneous social network. In: Proc of the 9th international conference on web-age information management (WAIM), ZhangJiaJie, China, July 20-22, 2008
28. Zhai C, Lafferty J (2001) A study of smoothing methods for language models applied to ad hoc information retrieval. In: Proc of the 24th ACM SIGIR international conference on information retrieval, pp 334-342
29. HR Kim PK Chan 2008 Learning implicit user interest hierarchy for context in personalization J Appl Intell 28 153 166 10.1007/s10489-007-0056-0
30. J Diederich 2003 Authorship attribution with support vector machines J Appl Intell 19 109 123 1040.68120 10.1023/A:1023824908771