Database Reference
In-Depth Information
39. B. Cule, B. Goethals, S. Tassenoy and S. Verboven. Mining Train Delays.
Proc. 10th
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40. L. Dehaspe,
H. Toivonen,
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Finding Frequent Substructures in Chemical
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ACM KDD Conference
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41. M. Deshpande, M. Kuramochi, N. Wale, and G. Karypis. Frequent substructure-based
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IEEE TKDE.
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42. A. Don, E. Zheleva, M. Gregory, S. Tarkan, L. Auvil, T. Clement, B. Schneiderman, C.
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CIKM Conference
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43. G. Dong,
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Efficient Mining of Emerging Patterns:
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ACM KDD Conference
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44. F. Eichinger, D. Nauck, and F. Klawonn. Sequence Mining for Customer Behaviour Predic-
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Workshop on Practical Data Mining: Applications, Experiences
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45. F. Eichinger, K. Bohm and M. Huber. Mining Edge-Weighted Call Graphs to Localize
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Machine Learning and Knowledge Discovery in Databases
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46. M. Eirinaki, M. Vazirgiannis. Web mining for web personalization.
ACM Transactions on
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47. M. Ester, H.-P. Kriegel, and J. Sander. Spatial Data Mining: A Database Approach,
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48. V. Estivill-Castrol, and A. T. Murray. Discovering Associations in Spatial Data—An Efficient
Medoid-Based Approach,
DMKD Workshop
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49. W. Fan, K. Zhang, H. Cheng, J. Gao, X. Yan, J. Han, P. Yu, and P. Verscheure. Direct Mining
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50. A. Frank, and A. Asuncion. UCI Machine Learning Repository, Irvine, CA: University of
California, School of Information and Computer Science, 2010.
http://archive.ics.uci.edu/ml.
51. B. Fung, K. Wang, and M. Ester. Hierarchical Document Clustering using Frequent Itemsets,
SDM Conference
, 2003.
52. J. Gudmindsson, M. van Krevald, B. Speckmann. Efficient detection of motion patterns in
spatiotemporal data sets,
GIS
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53. J. Gudmundsson, M. van Krewald. Computing Longest Duration Flocks in Trajectory Data,
GIS
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54. M. Gupta, J. Gao, Y. Sun, and J. Han. Community Trend Outlier Detection Using Soft
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ECML/PKDD Conference
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55. R. Gwadera, M. J. Atallah, and W. Szpankowski. Markov Models for Identification of
Significant Episodes,
SDM Conference
, 2005.
56. R. Gwadera, M. J. Atallah, and W. Szpankowski. Reliable detection of episodes in event
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Knowledge and Information Systems
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57. J. Han, K. Koperski, and N. Stefanovic. GeoMiner: a system prototype for spatial data mining.
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58. J. Han, G. Dong, and Y. Yin. Efficient Mining of Partial Periodic Patterns in Time Series
Database,
ICDE Conference
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59. J. Han, J. Pei, and Y. Yin. Mining Frequent Patterns without Candidate Generation,
ACM
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60. J. Han, H. Cheng, D. Xin, and X. Yan. Frequent Pattern Mining: Current Status and Future
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Data Mining and Knowledge Discovery
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61. K. Hashimoto, I. Takigawa, M. Shiga, M. Kanehisa, and H. Mamitsuka. Mining significant
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Bioinformatics
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62. Z. He, S. Deng, and X. Xu. Outlier Detection Integrating Semantic Knowledge.
We b A ge
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63. Z. He, X. Xu, J. Huang, and S. Deng. FP-Outlier: Frequent Pattern-based Outlier Detection,
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