15. RIDE-SDMA 2005: Tokyo, Japan

15th International Workshop on Research Issues in Data Engineering (RIDE-SDMA 2005), Stream Data Mining and Applications, 3-7 April 2005, Tokyo, Japan. IEEE Computer Society 2005, ISBN 0-7695-2390-0 BibTeX

Introduction

Preface.
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Fundamental Data Mining Algorithms

Chin-Chen Chang, Yu-Chiang Li, Jung-San Lee:
An Efficient Algorithm for Incremental Mining of Association Rules. 3-10
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Hua-Fu Li, Suh-Yin Lee, Man-Kwan Shan:
Online Mining (Recently) Maximal Frequent Itemsets over Data Streams. 11-18
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Tomotake Nakamura, Yoko Kamidoi, Shin'ichi Wakabayashi, Noriyoshi Yoshida:
A Clustering Method Using an Irregular Size Cell Graph. 19-26
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Applications of Stream Data Mining

Guandong Xu, Yanchun Zhang, Xiaofang Zhou:
Using Probabilistic Latent Semantic Analysis for Web Page Grouping. 29-36
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Ajumobi Udechukwu, Ken Barker, Reda Alhajj:
Maintaining Knowledge-Bases of Navigational Patterns from Streams of Navigational Sequences. 37-44
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R. P. Jagadeesh Chandra Bose, S. H. Srinivasan:
Data Mining Approaches to Software Fault Diagnosis. 45-52
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Anomaly Detection

Mei-Ling Shyu, Kanoksri Sarinnapakorn, Indika Kuruppu-Appuhamilage, Shu-Ching Chen, LiWu Chang, Thomas Goldring:
Handling Nominal Features in Anomaly Intrusion Detection Problems. 55-62
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Kai Cheng, Limin Xiang, Mizuho Iwaihara, Haiyan Xu, Mukesh K. Mohania:
Time-Decaying Bloom Filters for Data Streams with Skewed Distributions. 63-69
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Practical Applications of Data Mining

Hongsong Li, Houkuan Huang:
New Estimation Methods of Count-Min Sketch. 73-80
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Huanliang Sun, Ge Yu, Yubin Bao, Faxin Zhao, Daling Wang:
CDS-Tree: An Effective Index for Clustering Arbitrary Shapes in Data Streams. 81-88
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