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» Using Anonymized Data for Classification
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PODC
2010
ACM
15 years 4 months ago
Distributed data classification in sensor networks
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
Ittay Eyal, Idit Keidar, Raphael Rom
ASIACRYPT
2005
Springer
15 years 7 months ago
Universally Anonymizable Public-Key Encryption
Abstract. We first propose the notion of universally anonymizable publickey encryption. Suppose that we have the encrypted data made with the same security parameter, and that the...
Ryotaro Hayashi, Keisuke Tanaka
ICONIP
2008
15 years 3 months ago
A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining
This paper presents a novel and notable swarm approach to evolve an optimal set of weights and architecture of a neural network for classification in data mining. In a distributed ...
Satchidananda Dehuri, Bijan Bihari Misra, Sung-Bae...
CIDU
2010
15 years 10 days ago
Multi-label ASRS Dataset Classification Using Semi Supervised Subspace Clustering
There has been a lot of research targeting text classification. Many of them focus on a particular characteristic of text data - multi-labelity. This arises due to the fact that a ...
Mohammad Salim Ahmed, Latifur Khan, Nikunj C. Oza,...
145
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IAT
2006
IEEE
15 years 8 months ago
Trust Negotiations with Customizable Anonymity
Trust negotiation makes it possible for two parties to carry on secure transactions by first establishing trust through a bilateral, iterative process of requesting and disclosin...
Anna Cinzia Squicciarini, Abhilasha Bhargav-Spantz...