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SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 9 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
ALGORITHMICA
2010
95views more  ALGORITHMICA 2010»
15 years 6 months ago
Homogeneous String Segmentation using Trees and Weighted Independent Sets
We divide a string into k segments, each with only one sort of symbols, so as to minimize the total number of exceptions. Motivations come from machine learning and data mining. F...
Peter Damaschke
TON
2008
102views more  TON 2008»
15 years 6 months ago
Internet traffic behavior profiling for network security monitoring
Abstract--Recent spates of cyber-attacks and frequent emergence of applications affecting Internet traffic dynamics have made it imperative to develop effective techniques that can...
Kuai Xu, Zhi-Li Zhang, Supratik Bhattacharyya
WEBI
2009
Springer
16 years 29 days ago
Data Mining for Malicious Code Detection and Security Applications
: Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques....
Bhavani M. Thuraisingham
WWW
2006
ACM
16 years 7 months ago
Time-dependent semantic similarity measure of queries using historical click-through data
It has become a promising direction to measure similarity of Web search queries by mining the increasing amount of clickthrough data logged by Web search engines, which record the...
Qiankun Zhao, Steven C. H. Hoi, Tie-Yan Liu, Soura...