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ICDE
1999
IEEE
183views Database» more  ICDE 1999»
16 years 5 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
ICSE
2009
IEEE-ACM
16 years 4 months ago
Tesseract: Interactive visual exploration of socio-technical relationships in software development
Software developers have long known that project success requires a robust understanding of both technical and social linkages. However, research has largely considered these inde...
Anita Sarma, Larry Maccherone, Patrick Wagstrom, J...
SDM
2009
SIAM
112views Data Mining» more  SDM 2009»
16 years 1 months ago
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
Frederik Janssen, Johannes Fürnkranz
EUROSSC
2007
Springer
15 years 10 months ago
Escalation:  Complex Event Detection in Wireless Sensor Networks
We present a new approach for the detection of complex events in Wireless Sensor Networks. Complex events are sets of data points that correspond to interesting or unusual patterns...
Michael Zoumboulakis, George Roussos
DEXA
2004
Springer
140views Database» more  DEXA 2004»
15 years 9 months ago
Extracting User Behavior by Web Communities Technology on Global Web Logs
A lot of work has been done on extracting the model of web user behavior. Most of them target server-side logs that cannot track user behavior outside of the server. Recently, a no...
Shingo Otsuka, Masashi Toyoda, Jun Hirai, Masaru K...