Using abstract information and community alignment information for link prediction

ICMLC 2010 - The 2nd International Conference on Machine Learning and Computing

Volumn , Issue , 2010, Pages 61-65

  Sachan, Mrinmaya ^a   Ichise, Ryutaro ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

^b NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

Data mining; Graph mining; Link prediction; Machine learning; Social networks

Indexed keywords

COAUTHORSHIP; DATA SETS; GRAPH MINING; LINK PREDICTION; MACHINE-LEARNING; SEMANTIC APPROACH; SEMANTIC INFORMATION; SOCIAL NETWORKS; UNDER-SAMPLING;

ABSTRACTING; DATA MINING; DECISION TREES; FORECASTING; LEARNING SYSTEMS; RESEARCH; SEMANTICS; SOCIAL NETWORKING (ONLINE); STATISTICAL TESTS;

INFORMATION USE;

EID: 77953049787     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2010.25     Document Type: Conference Paper

References (16)

1. Adamic, L.A., Adar, E.: Friends and neighbors on the web. Social Networks 25(3), 211-230 (2003)
2. Brin, S., Page, L.: The anatomy of a large-scale hyper textual Web search engine. Computer Networks and ISDN Systems 30(17), 107-117 (1998) (Pubitemid 128784870)
3. Chawla, N.V.: Data mining for imbalanced datasets: An overview. In: The Data Mining and Knowledge Discovery Handbook, pp. 853-867. Springer, Heidelberg (2005)
4. Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: Smote: Synthetic minority over-sampling technique. Journal of Artificial Intelligence and Research 16, 321-357 (2002)
5. The DBLP computer science bibliography (2008), http://dblp.uni-trier.de/ xml/-
6. Getoor, L., Diehl, C.P.: Link mining: a survey. SIGKDD Explorations 7(2), 312 (2005)
7. Hasan, M.A.: Link prediction using supervised learning. In: Proceedings of the Workshop on Link Analysis, Counter-terrorism and Security (2006)
8. Jeh, G., Widom, J.: Simrank: a measure of structural-context similarity. In: Proceedings of the eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 538-543. ACM Press, New York (2002)
9. Katz, L.: A new status index derived from sociometric analysis. Psychometrika 18(1), 39-43 (1953)
10. Liben-Nowell, D., Kleinberg, J.: The link prediction problem for social networks. In: Proceedings of the twelfth international conference on Information and Knowledge Management, pp. 556-559. ACM Press, New York (2003)
11. Pavlov, M., Ichise, R.: Finding experts by link prediction in co-authorship networks. In: Proceedings of the 2nd International Workshop on Finding Experts on the Web with Semantics (2007)
12. Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1993)
13. Wohlfarth T., Ichise, R.: Semantic and Event-Based Approach for Link Prediction, in Proceedings of the7th International Conference on Practical aspects of Knowledge Management 50-61 (2008)
14. Manning, C.D., Raghavan, P., Schutze, H.: Introduction to Iinformation Retrieval. Cambridge University Press, Cambridge (2008)
15. Newman, M.E.J.: Clustering and preferential attachment in growing networks. Physical Review E 64,025102 (2001)
16. Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, San Francisco (1999)