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» Mining Very Large Databases
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220
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ICDE
2000
IEEE
112views Database» more  ICDE 2000»
16 years 3 months ago
DEMON: Mining and Monitoring Evolving Data
Data mining algorithms have been the focus of much research recently. In practice, the input data to a data mining process resides in a large data warehouse whose data is kept up-...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...
123
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WWW
2004
ACM
16 years 3 months ago
On mining webclick streams for path traversal patterns
Mining user access patterns from a continuous stream of Web-clicks presents new challenges over traditional Web usage mining in a large static Web-click database. Modeling user ac...
Hua-Fu Li, Suh-Yin Lee, Man-Kwan Shan
109
Voted
ICDM
2005
IEEE
166views Data Mining» more  ICDM 2005»
15 years 8 months ago
An Algorithm for In-Core Frequent Itemset Mining on Streaming Data
Frequent itemset mining is a core data mining operation and has been extensively studied over the last decade. This paper takes a new approach for this problem and makes two major...
Ruoming Jin, Gagan Agrawal
164
Voted
SIGMOD
2009
ACM
476views Database» more  SIGMOD 2009»
15 years 9 months ago
MobileMiner: a real world case study of data mining in mobile communication
Mobile communication data analysis has been often used as a background application to motivate many data mining problems. However, very few data mining researchers have a chance t...
Tengjiao Wang, Bishan Yang, Jun Gao, Dongqing Yang...
AMT
2006
Springer
108views Multimedia» more  AMT 2006»
15 years 4 months ago
Efficient Frequent Itemsets Mining by Sampling
As the first stage for discovering association rules, frequent itemsets mining is an important challenging task for large databases. Sampling provides an efficient way to get appro...
Yanchang Zhao, Chengqi Zhang, Shichao Zhang