15. RIDE-SDMA 2005: Tokyo, Japan

Introduction

• Preface.
  

Fundamental Data Mining Algorithms

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

Applications of Stream Data Mining

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

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
  
• Kai Cheng, Limin Xiang, Mizuho Iwaihara, Haiyan Xu, Mukesh K. Mohania:
  Time-Decaying Bloom Filters for Data Streams with Skewed Distributions. 63-69
  

Practical Applications of Data Mining

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