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DKE
2008
109views more  DKE 2008»
15 years 3 months ago
Deterministic algorithms for sampling count data
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
Hüseyin Akcan, Alex Astashyn, Hervé Br...
SAC
2009
ACM
15 years 9 months ago
Evaluating algorithms that learn from data streams
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
João Gama, Pedro Pereira Rodrigues, Raquel ...
SSDBM
2007
IEEE
127views Database» more  SSDBM 2007»
15 years 9 months ago
A Fast Algorithm for Approximate Quantiles in High Speed Data Streams
We present a fast algorithm for computing approximate quantiles in high speed data streams with deterministic error bounds. For data streams of size N where N is unknown in advanc...
Qi Zhang, Wei Wang 0010
ICSAP
2010
15 years 8 days ago
Enhanced Cost Effective Symmetric Key Algorithm for Small Amount of Data
Security being the major concern during data transfers, we have various challenges to face. The requirements of the security model vary depending on the type of data to be encrypte...
R. Satheesh Kumar, E. Pradeep, K. Naveen, R. Gunas...
JCP
2006
117views more  JCP 2006»
15 years 2 months ago
Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data
As the amount of online shoppers grows rapidly, the need of recommender systems for e-commerce sites are demanding, especially when the number of users and products being offered o...
Karen H. L. Tso, Lars Schmidt-Thieme