Approximate distributed k-means clustering over a peer-to-peer network
Data intensive peer-to-peer (P2P) networks are finding increasing number of applications.
Data mining in such P2P environments is a natural extension. However, common monolithic …
Data mining in such P2P environments is a natural extension. However, common monolithic …
On the soundness and security of privacy-preserving SVM for outsourcing data classification
Recently, Rahulamathavan et al. propose a privacy preserving scheme for outsourcing SVM
classification. Their core contribution is a secure protocol to attain the sign of numbers in …
classification. Their core contribution is a secure protocol to attain the sign of numbers in …
Distributed decision‐tree induction in peer‐to‐peer systems
K Bhaduri, R Wolff, C Giannella… - Statistical Analysis and …, 2008 - Wiley Online Library
This paper offers a scalable and robust distributed algorithm for decision‐tree induction in
large peer‐to‐peer (P2P) environments. Computing a decision tree in such large distributed …
large peer‐to‐peer (P2P) environments. Computing a decision tree in such large distributed …
P2p group management systems: A conceptual analysis
Peer-to-Peer (P2P) networks are becoming eminent platforms for both distributed computing
and interpersonal communication. Their role in contemporary multimedia content delivery …
and interpersonal communication. Their role in contemporary multimedia content delivery …
A local asynchronous distributed privacy preserving feature selection algorithm for large peer-to-peer networks
In this paper we develop a local distributed privacy preserving algorithm for feature selection
in a large peer-to-peer environment. Feature selection is often used in machine learning for …
in a large peer-to-peer environment. Feature selection is often used in machine learning for …
From small seeds grow fruitful trees: How the PHelpS peer help system stimulated a diverse and innovative research agenda over 15 years
PHelpS was a system that helped Correctional Service Canada (CSC) workers to find
appropriate helpers among their peers when they were encountering problems while …
appropriate helpers among their peers when they were encountering problems while …
Distributed rating prediction in user generated content streams
Recommender systems predict user preferences based on a range of available information.
For systems in which users generate streams of content (eg, blogs, periodically-updated …
For systems in which users generate streams of content (eg, blogs, periodically-updated …
[LIBRO][B] Clustering social networks using distance-preserving subgraphs
R Nussbaum, AH Esfahanian, PN Tan - 2013 - Springer
Cluster analysis describes the division of a dataset into subsets of related objects, which are
usually disjoint. There is considerable variety among the different types of clustering …
usually disjoint. There is considerable variety among the different types of clustering …
Distributed identification of top-l inner product elements and its application in a peer-to-peer network
K Das, K Bhaduri, K Liu… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
The inner product measures how closely two feature vectors are related. It is an important
primitive for many popular data mining tasks, for example, clustering, classification …
primitive for many popular data mining tasks, for example, clustering, classification …
An efficient local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks
K Bhaduri, H Kargupta - Proceedings of the 2008 SIAM International …, 2008 - SIAM
This paper offers a local distributed algorithm for multivariate regression in large peer-to-
peer environments. The algorithm is designed for distributed inferencing, data compaction …
peer environments. The algorithm is designed for distributed inferencing, data compaction …