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KDD
2010
ACM
300views Data Mining» more  KDD 2010»
15 years 8 months ago
Mining top-k frequent items in a data stream with flexible sliding windows
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
Hoang Thanh Lam, Toon Calders
ICDE
2000
IEEE
112views Database» more  ICDE 2000»
16 years 5 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...
KDD
2009
ACM
232views Data Mining» more  KDD 2009»
15 years 9 months ago
Probabilistic latent semantic user segmentation for behavioral targeted advertising
Behavioral Targeting (BT), which aims to deliver the most appropriate advertisements to the most appropriate users, is attracting much attention in online advertising market. A ke...
Xiaohui Wu, Jun Yan, Ning Liu, Shuicheng Yan, Ying...
BMCBI
2011
14 years 8 months ago
FIND: A new software tool and development platform for enhanced multicolor flow analysis
Background: Flow Cytometry is a process by which cells, and other microscopic particles, can be identified, counted, and sorted mechanically through the use of hydrodynamic pressu...
Shareef Dabdoub, William C. Ray, Sheryl S. Justice
WIOPT
2006
IEEE
15 years 10 months ago
Flow-level stability of channel-aware scheduling algorithms
— Channel-aware scheduling strategies provide an effective mechanism for improving the throughput performance in wireless data networks by exploiting channel fluctuations. The p...
Sem C. Borst, Matthieu Jonckheere