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SAC
2009
ACM
16 years 2 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 ...
NIPS
2003
15 years 8 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
ICSAP
2010
15 years 4 months 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 7 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
PKDD
2001
Springer
114views Data Mining» more  PKDD 2001»
15 years 12 months ago
A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory
This paper discusses the clustering quality and complexities of the hierarchical data clustering algorithm based on gravity theory. The gravitybased clustering algorithm simulates ...
Yen-Jen Oyang, Chien-Yu Chen, Tsui-Wei Yang