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KDD
2008
ACM
192views Data Mining» more  KDD 2008»
16 years 6 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer
KDD
2006
ACM
208views Data Mining» more  KDD 2006»
16 years 6 months ago
Frequent subgraph mining in outerplanar graphs
In recent years there has been an increased interest in frequent pattern discovery in large databases of graph structured objects. While the frequent connected subgraph mining pro...
Tamás Horváth, Jan Ramon, Stefan Wro...
ICST
2009
IEEE
16 years 24 days ago
Seasonal Variation in the Vulnerability Discovery Process
Vulnerability discovery rates need to be taken into account for evaluating security risks. Accurate projection of these rates is required to estimate the effort needed to develop ...
HyunChul Joh, Yashwant K. Malaiya
INFOCOM
2009
IEEE
16 years 24 days ago
Optimal Anycast Technique for Delay-Sensitive Energy-Constrained Asynchronous Sensor Networks
Abstract—In wireless sensor networks, asynchronous sleepwake scheduling protocols can significantly reduce energy consumption without incurring the communication overhead for cl...
Joohwan Kim, Xiaojun Lin, Ness B. Shroff
AINA
2008
IEEE
16 years 19 days ago
Improved TCAM-Based Pre-Filtering for Network Intrusion Detection Systems
—With the increasing growth of the Internet, the explosion of attacks and viruses significantly affects the network security. Network Intrusion Detection System (NIDS) is develop...
Yeim-Kuan Chang, Ming-Li Tsai, Cheng-Chien Su