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dblp: Data Mining and Knowledge Discovery, Volume 9

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Data Mining and Knowledge Discovery, Volume 9

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Volume 9, Number 1, July 2004

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  - journals/datamine/LohKW04
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Woong-Kee Loh, Sang-Wook Kim, Kyu-Young Whang:
A Subsequence Matching Algorithm that Supports Normalization Transform in Time-Series Databases. 5-28
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  - journals/datamine/OzdalA04
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Muhammet Mustafa Ozdal, Cevdet Aykanat:
Hypergraph Models and Algorithms for Data-Pattern-Based Clustering. 29-57
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Stefan Schrödl, Kiri Wagstaff, Seth Rogers, Pat Langley, Christopher Wilson:
Mining GPS Traces for Map Refinement. 59-87
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  - journals/datamine/LiMDR04
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Jinyan Li, Thomas Manoukian, Guozhu Dong, Kotagiri Ramamohanarao:
Incremental Maintenance on the Border of the Space of Emerging Patterns. 89-116

Volume 9, Number 2, September 2004

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Charu C. Aggarwal:
On Leveraging User Access Patterns for Topic Specific Crawling. 123-145
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Ayhan Demiriz:
Enhancing Product Recommender Systems on Sparse Binary Data. 147-170
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  - journals/datamine/LimasMAG04
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Manuel Castejón Limas, Joaquín B. Ordieres Meré, Francisco J. Martínez de Pisón Ascacibar, Eliseo P. Vergara González:
Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples: The PAELLA Algorithm. 171-187
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Jiong Yang, Wei Wang, Philip S. Yu:
Mining Surprising Periodic Patterns. 189-216

Volume 9, Number 3, November 2004

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Mohammed Javeed Zaki:
Mining Non-Redundant Association Rules. 223-248
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Guimei Liu, Hongjun Lu, Wenwu Lou, Yabo Xu, Jeffrey Xu Yu:
Efficient Mining of Frequent Patterns Using Ascending Frequency Ordered Prefix-Tree. 249-274
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  - journals/datamine/Grohman04
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Wojciech Grohman:
Using Convex Sets for Exploratory Data Analysis and Visualization. 275-295

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