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ICDE
1999
IEEE
183views Database» more  ICDE 1999»
16 years 8 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
ICML
1996
IEEE
16 years 7 months ago
Searching for Structure in Multiple Streams of Data
Finding structure in multiple streams of data is an important problem. Consider the streams of data owing from a robot's sensors, the monitors in an intensive care unit, or p...
Tim Oates, Paul R. Cohen
WWW
2003
ACM
16 years 7 months ago
Techniques and Metrics for Improving Website Structure
In this work two distinct metrics are proposed, which aim to quantify the importance of a web page based on the visits it receives by the users and its location within the website...
Eleni Christopoulou, John D. Garofalakis, Christos...
EWSN
2007
Springer
16 years 6 months ago
Removing Systematic Error in Node Localisation Using Scalable Data Fusion
Methods for node localisation in sensor networks usually rely upon the measurement of received strength, time-of-arrival, and/or angle-of-arrival of an incoming signal. In this pap...
Albert Krohn, Mike Hazas, Michael Beigl
WISEC
2010
ACM
16 years 1 months ago
On the reliability of wireless fingerprinting using clock skews
Determining whether a client station should trust an access point is a known problem in wireless security. Traditional approaches to solving this problem resort to cryptography. B...
Chrisil Arackaparambil, Sergey Bratus, Anna Shubin...