Applications of Frequent Pattern Mining - Frequent Pattern Mining - page 458

116. K. Smets and J. Vreeken. The Odd One Out: Identifying an Characterising Anomalies, SIAM
Conference on Data Mining , 2011.
117. A. Srinivasan, R. King, S. Muggleton, and M. J. E. Sternberg. Carcinogenesis predictions
using ILP. Workshop on Inductive Logic Programming , Vol. 1297, pp. 273-287, 1997.
118. A. Srinivasan, R. King, S. Muggleton, and M. J. E. Sternberg. The predictive toxicology
evaluation challenge, IJCAI , 1997.
119. J. Srivastava, R. Cooley, M. Deshpande, and P. N. Tan. Web usage mining: Discovery and
applications of usage patterns from web data. ACM SIGKDD Explorations Newsletter , 1(2),
pp. 12-23, 2000.
120. C. Stockham, L. Wang, T. Warnow. Statistically based postprocessing of phylogenetic analysis
by clustering. Bioinformatics , 18(3), pp. 465-469, 2002.
121. R. Vilalta, and S. Ma. Predicting Rare Events in Temporal Domains, ICDM Conference , 2002.
122. J. Wang, G. Karypis. HARMONY: Efficiently Mining the Best Rules for Classification. SDM
Conference , 2005.
123. J. T.-L. Wang, G.-W. Chirn, T. G. Marr, B. Shapiro, D. Shasha, and K. Zhang. Combinatorial
Pattern Discovery for Scientific Data: Some Preliminary Results, ACM SIGMOD Record ,
23(2), pp. 115-125, 1994.
124. K. Wang, C. Xu, and B. Liu. Clustering Transactions using Large Items, CIKM Conference ,
1999.
125. J. Wang, D. Shasha, and B. Shapiro. Pattern Discovery in Biomolecular Data: Tools,
Techniques, and Applications. Oxford University Press , 1999.
126. H. Wang, W. Wang, J. Yang, and P. S. Yu. Clustering by pattern similarity in large data sets,
ACM SIGMOD Conference , 2002.
127. K. Wang, Y. Xu, and J. X. Yu. Scalable Sequential Pattern Mining for Biological Sequences,
ACM KDD Conference , 2004.
128. P. C. Wong, P. Whitney, and J. Thomas. Visualizing Association Rules for Text Mining,
InfoVis , 1999.
129. Y. Xiao, M. Dunham. Efficient mining of traversal patterns, Data and Knowledge Engineering ,
39(2), pp. 191-214, 2001.
130. Z. Xing, J. Pei, and E. Keogh. A Brief Survey on Sequence Classification, ACM SIGKDD
Explorations , 12(1), 2010.
131. H. Xiong, S. Shekhar, Y. Huang, V. Kumar, X. Ma, J. Yoo. A framework for discovering
co-location patterns in data sets with extended spatial objects, SDM Conference , pp. 78-89,
2004.
132. X. Yan, P. S. Yu, and J. Han. Graph indexing: A frequent structure-based approach. ACM
SIGMOD Conference , 2004.
133. X. Yan, P. S. Yu, and J. Han. Substructure similarity search in graph databases. ACM SIGMOD
Conference , 2005.
134. X. Yan, F. Zhu, J. Han, and P. S. Yu. Searching substructures with superimposed distance,
ICDE Conference , 2006.
135. Y. Yang, and B. Padmanabhan. GHIC: A Hierarchical Pattern-based Clustering for Grouping
Web Transactions, IEEE TKDE , 17(9), pp. 1300-1304, 2005.
136. J. Yang, and W. Wang. CLUSEQ: Efficient and Effective Sequence Clustering. ICDE

Conference , 2003.
137. M. Yiu, and N. Mamoulis. Frequent-pattern based iterated projected clustering, ICDM
Conference , 2003.
138. O. Zaiane, M. Xin, and J. Han. Discovering Web Access Patterns and Trends by applying
OLAP and Data Mining Technology on Web Logs. Research and Technology Advances in
Digital Libraries , pp. 19-29. 1998.
139. M. Zaki. Efficiently mining frequent trees in a forest: Algorithms and applications. IEEE
Transactions on Knowledge and Data Engineering , 17(8), pp. 1021-1035, 2005.
140. M. Zaki, C. Aggarwal. XRules: An Effective Classifier for XML Data, ACM KDD

Conference , 2003.