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Peer-to-peer (P2P) networks are gaining popularity in many applications such as file sharing, e-commerce, and social networking, many of which deal with rich, distributed data sources that can...
Search relevance: 457.41 | Views last month: 1 | Catalog Last Checked: January 31, 2026 at 08:19 PM -
This paper proposes a scalable, local privacy preserving algorithm for distributed Peer-to-Peer (P2P) data aggregation useful for many advanced data mining/analysis tasks such as average/sum...
Search relevance: 266.26 | Views last month: 0 | Catalog Last Checked: August 04, 2025 at 10:56 AM -
PADMINI: A PEER-TO-PEER DISTRIBUTED ASTRONOMY DATA MINING SYSTEM AND A CASE STUDY TUSHAR MAHULE*, KIRK BORNE**, SANDIPAN DEY*, SUGANDHA ARORA*, AND HILLOL KARGUPTA*** Abstract....
Search relevance: 138.72 | Views last month: 0 | Catalog Last Checked: April 13, 2026 at 04:06 PM -
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm can be used for distributed inferencing, data compaction, data...
Search relevance: 133.25 | Views last month: 2 | Catalog Last Checked: July 14, 2026 at 11:33 PM -
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, data...
Search relevance: 133.05 | Views last month: 0 | Catalog Last Checked: April 13, 2026 at 04:06 PM -
Inner product computation is an important primitive used in many techniques for feature dependency detection, distance computation, clustering and correlation computation among others. Recently,...
Search relevance: 130.01 | Views last month: 2 | Catalog Last Checked: June 02, 2026 at 07:34 PM -
Peer-to-Peer (P2P) networks are gaining increasing popularity in many distributed applications such as file-sharing, network storage, web caching, sear- ching and indexing of relevant documents...
Search relevance: 124.71 | Views last month: 1 | Catalog Last Checked: August 04, 2025 at 01:17 PM -
This paper describes a local and distributed expectation maximization algorithm for learning parameters of Gaussian mixture models (GMM) in large peer-to-peer (P2P) environments. The algorithm...
Search relevance: 114.28 | Views last month: 0 | Catalog Last Checked: October 07, 2026 at 01:01 AM -
his paper describes a local and distributed expectation maximization algorithm for learning parameters of Gaussian mixture models (GMM) in large peer-to-peer (P2P) environments. The algorithm can...
Search relevance: 113.19 | Views last month: 0 | Catalog Last Checked: August 04, 2025 at 09:59 AM
