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FP-Tree based Association Rule Mining in Academic Social Networks to Refine RDF Framework and FOAF

by K. Sobha Rani, K V S V N Raju, V. Valli Kumari
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 71 - Number 17
Year of Publication: 2013
Authors: K. Sobha Rani, K V S V N Raju, V. Valli Kumari
10.5120/12449-9168

K. Sobha Rani, K V S V N Raju, V. Valli Kumari . FP-Tree based Association Rule Mining in Academic Social Networks to Refine RDF Framework and FOAF. International Journal of Computer Applications. 71, 17 ( June 2013), 14-20. DOI=10.5120/12449-9168

@article{ 10.5120/12449-9168,
author = { K. Sobha Rani, K V S V N Raju, V. Valli Kumari },
title = { FP-Tree based Association Rule Mining in Academic Social Networks to Refine RDF Framework and FOAF },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 71 },
number = { 17 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 14-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume71/number17/12449-9168/ },
doi = { 10.5120/12449-9168 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:35:50.596145+05:30
%A K. Sobha Rani
%A K V S V N Raju
%A V. Valli Kumari
%T FP-Tree based Association Rule Mining in Academic Social Networks to Refine RDF Framework and FOAF
%J International Journal of Computer Applications
%@ 0975-8887
%V 71
%N 17
%P 14-20
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In order to analyze large scale social networks, different strategies are being implemented. The traditional methods of data mining are getting transformed to be suitable to the requirements of the web based information available in different structured and unstructured formats. The process of web mining, a versatile methodology of data mining, involves modified mining techniques applied on documents spread across the World Wide Web. In this proposed work, the process of association rule mining is applied to Academic Social Networks, an offshoot of Social networks. This technique involves processing of profile pages of members stored in FOAF format and retrieving the association rules from the data to identify the strength of relationship amongst researchers. The RDF vocabulary, a standard format of web based identity representation is the building block of this entire framework. Traditional applications of association rule mining is referred in the context of Market Basket analysis, and its application is projected to analyze dense network and derive association patterns amongst members of the academic social network.

References
  1. Han, Jiawei et al. , "Mining frequent patterns without candidate generation: A frequent-pattern tree approach", Data mining and knowledge discovery 8. 1 (2004): 53-87. ACM 2000.
  2. Takama, Yasufumi and Shunichi Hattori, "Mining association rules for adaptive search engine based on RDF technology. ", Industrial Electronics, IEEE Trans. on 54. 2 (2007): 790-796.
  3. Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang and Zhong Su, "ArnetMiner: Extraction and Mining of Academic Social Networks. ", in Proc. of the 14th ACM SIGKDD Intnl Conf. on Knowledge Discovery and Data Mining (SIGKDD'2008). pp. 990-998.
  4. Moradi, Mohammad, and Mohammad Reza Keyvanpour. "An analytical review of XML association rules mining. " Artificial Intelligence Review (2013): 1-24. DOI 10. 1007/s10462-012-9376-5, Springer.
  5. Sleeman, Jennifer, and Tim Finin. "Computing foaf co-reference relations with rules and machine learning. " Proc. 3rd Intnl workshop on social data on the web. 2010.
  6. Y. Matsuo, H. Tomobe, K. Hasida, M. Ishizuka, "Finding social network for trust calculation", pp. 510–514 Proc. of 16th European Conference on Artificial Intelligence (ECAI2004)
  7. Romei, Andrea, Salvatore Ruggieri, and Franco Turini. "KDDML: a middleware language and system for knowledge discovery in databases. " Data & Knowledge Engineering 57. 2 (2006): 179-220, 2005 Elsevier
  8. Jiang, Tao, Ah-Hwee Tan, and Ke Wang. "Mining generalized associations of semantic relations from textual web content. " Knowledge and Data Engineering, IEEE Trans. on 19. 2 (2007): 164-179.
  9. Tang, Jie, et al. "Arnetminer: An expertise oriented search system for web community. " Semantic Web Challenge (2007).
  10. Amitay, Einat, et al. "Social search and discovery using a unified approach. "Proc. of the 20th ACM conf. on Hypertext and hypermedia. ACM, 2009.
  11. Kalashnikov, Dmitri V. , et al. "Web people search via connection analysis. "Knowledge and Data Engineering, IEEE Transactions on 20. 11 (2008): 1550-1565.
  12. Lajmi, Sonia, et al. "Extended Social Tags: Identity Tags Meet Social Networks. " Computational Science and Engineering, 2009. CSE'09. Intnl Conf. Vol. 4. IEEE, 2009.
  13. Agrawal, Rakesh, and Ramakrishnan Srikant. "Fast algorithms for mining association rules. " Proc. 20th Int. Conf. Very Large Data Bases, VLDB. Vol. 1215. 1994.
  14. Grahne, Gosta, and Jianfei Zhu. "Fast algorithms for frequent itemset mining using fp-trees. " Knowledge and Data Engineering, IEEE Trans. on 17. 10 (2005): 1347-1362.
  15. Ting, I-Hsien. "Web mining techniques for on-line social networks analysis. "Service Systems and Service Management, 2008 Intnl Conf on. IEEE, 2008.
  16. http://www. w3. org/TR/REC-rdf-syntax/
  17. http://www. w3. org/TR/owl-semantics/
  18. http://xmlns. com/foaf/spec/
  19. http://www. w3. org/TR/xquery/
  20. http://www. w3. org/TR/1999/REC-rdf-syntax-19990222/
  21. http://jena. apache. org/index. html
  22. Mika, Peter. "Ontologies are us: A unified model of social networks and semantics. ", Web Semantics: Science, Services and Agents on the World Wide Web 5. 1 (2007): 5-15.
  23. http://arnetminer. org
  24. http://www. academic. research. microsoft. com
  25. Jacky W. W. Wan, Gillian Dobbie, "Extracting Association Rules from XML Documents using XQuery", WIDM'2003, Nov 2003, New Orleans, Louisiana, USA.
  26. http://www. ibm. com/developerworks/library/x-datamine2/index. html
Index Terms

Computer Science
Information Sciences

Keywords

Academic Social Networks RDF FOAF Association Rule Mining FP-Tree

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