Azimi et al., 2018 - Google Patents
Peer sampling gossip-based distributed clustering algorithm for unstructured P2P networksAzimi et al., 2018
View PDF- Document ID
- 10407396476352769956
- Author
- Azimi R
- Sajedi H
- Publication year
- Publication venue
- Neural Computing and Applications
External Links
Snippet
Clustering, as an unsupervised learning method and an important process in data mining, is an aspect of large and distributed data analysis. In many applications, such as peer-to-peer systems, huge volumes of data are distributed between multiple sources. Analysis of these …
- 238000005070 sampling 0 title description 9
Classifications
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30533—Other types of queries
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
- H04L67/10—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network
- H04L67/104—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network for peer-to-peer [P2P] networking; Functionalities or architectural details of P2P networks
- H04L67/1042—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network for peer-to-peer [P2P] networking; Functionalities or architectural details of P2P networks involving topology management mechanisms
- H04L67/1044—Group management mechanisms
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30312—Storage and indexing structures; Management thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30587—Details of specialised database models
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
- H04L67/10—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network
- H04L67/104—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network for peer-to-peer [P2P] networking; Functionalities or architectural details of P2P networks
- H04L67/1061—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network for peer-to-peer [P2P] networking; Functionalities or architectural details of P2P networks involving node-based peer discovery mechanisms
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
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- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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- H—ELECTRICITY