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KDD
2003
ACM
130views Data Mining» more  KDD 2003»
16 years 4 months ago
Towards systematic design of distance functions for data mining applications
Distance function computation is a key subtask in many data mining algorithms and applications. The most effective form of the distance function can only be expressed in the conte...
Charu C. Aggarwal
SIGMOD
2005
ACM
135views Database» more  SIGMOD 2005»
16 years 4 months ago
Mining data streams: a review
The recent advances in hardware and software have enabled the capture of different measurements of data in a wide range of fields. These measurements are generated continuously an...
Mohamed Medhat Gaber, Arkady B. Zaslavsky, Shonali...
PRL
2006
139views more  PRL 2006»
15 years 4 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...
CORR
2008
Springer
152views Education» more  CORR 2008»
15 years 4 months ago
Characterizing User Mobility in Second Life
In this work we present a measurement study of user mobility in Second Life. We first discuss different techniques to collect user traces and then focus on results obtained using ...
Chi-Anh La, Pietro Michiardi
STOC
2007
ACM
112views Algorithms» more  STOC 2007»
16 years 4 months ago
Smooth sensitivity and sampling in private data analysis
We introduce a new, generic framework for private data analysis. The goal of private data analysis is to release aggregate information about a data set while protecting the privac...
Kobbi Nissim, Sofya Raskhodnikova, Adam Smith