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» Spatial Data Mining: A Database Approach
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116
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ICDM
2006
IEEE
147views Data Mining» more  ICDM 2006»
15 years 6 months ago
Adaptive Parallel Graph Mining for CMP Architectures
Mining graph data is an increasingly popular challenge, which has practical applications in many areas, including molecular substructure discovery, web link analysis, fraud detect...
Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kua...
100
Voted
CIKM
2007
Springer
15 years 7 months ago
Detecting distance-based outliers in streams of data
In this work a method for detecting distance-based outliers in data streams is presented. We deal with the sliding window model, where outlier queries are performed in order to de...
Fabrizio Angiulli, Fabio Fassetti
111
Voted
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 1 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
100
Voted
ICDE
2006
IEEE
138views Database» more  ICDE 2006»
15 years 6 months ago
Toward a Query Language for Network Attack Data
The growing sophistication and diversity of malicious activity in the Internet presents a serious challenge for network security analysts. In this paper, we describe our efforts t...
Bee-Chung Chen, Vinod Yegneswaran, Paul Barford, R...
86
Voted
VLDB
1997
ACM
134views Database» more  VLDB 1997»
15 years 5 months ago
Spatial Joins Using R-trees: Breadth-First Traversal with Global Optimizations
R-tree based spatial join is useful because of both its superior performance and the wide spread implementation of R-trees. We present a new R-tree join method called BFRJ (Breadt...
Yun-Wu Huang, Ning Jing, Elke A. Rundensteiner