This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining tasks in a distributed environment such as clustering, anomaly detection, target tracking to name a few. This technology is crucial for many emerging peer-to-peer applications for bioinformatics, astronomy, social networking, sensor networks and web mining. Centralizing all or some of the data for building global models is impractical in such peer-to-peer environments because of the large number of data sources, the asynchronous nature of the peer-to-peer networks, and dynamic nature of the data/network. The distributed algorithm we have developed in this paper is ...
peer reviewedWe propose a gossip-based distributed algorithm for Gaussian mixture learning, Newscast...
An analytical framework is developed for distributed management of large networks where each node ma...
In recent years, peer-to-peer (P2P) systems have emerged as a powerful networking paradigm that allo...
Abstract—This paper describes a local and distributed ex-pectation maximization algorithm for learni...
This paper offers a local distributed algorithm for multivari-ate regression in large peer-to-peer e...
Peer-to-peer (P2P) systems such as Gnutella, Napster, e-Mule, Kazaa, and Freenet are increasingly be...
<p>The family of expectation--maximization (EM) algorithms provides a general approach to fitting fl...
Peer-to-peer(P2P) computing is emerging as a new distributed computing paradigm for novel applicatio...
Abstract. Fully distributed data mining algorithms build global models over large amounts of data di...
Estimating the unknown parameters of a statistical model based on the observations collected by a se...
Cette thèse s’intéresse au problème d’estimation et d’optimisation distribuée dans les réseaux async...
The prosperity of Big Data owes to the advances in distributed computing systems, which make it poss...
In a large network of computers, wireless sensors, or mobile devices, each of the components (hence,...
Recent advances in sensing, storage, and networking technologies are creating massive amounts of dat...
Distributed machine learning bridges the traditional fields of distributed systems and machine learn...
peer reviewedWe propose a gossip-based distributed algorithm for Gaussian mixture learning, Newscast...
An analytical framework is developed for distributed management of large networks where each node ma...
In recent years, peer-to-peer (P2P) systems have emerged as a powerful networking paradigm that allo...
Abstract—This paper describes a local and distributed ex-pectation maximization algorithm for learni...
This paper offers a local distributed algorithm for multivari-ate regression in large peer-to-peer e...
Peer-to-peer (P2P) systems such as Gnutella, Napster, e-Mule, Kazaa, and Freenet are increasingly be...
<p>The family of expectation--maximization (EM) algorithms provides a general approach to fitting fl...
Peer-to-peer(P2P) computing is emerging as a new distributed computing paradigm for novel applicatio...
Abstract. Fully distributed data mining algorithms build global models over large amounts of data di...
Estimating the unknown parameters of a statistical model based on the observations collected by a se...
Cette thèse s’intéresse au problème d’estimation et d’optimisation distribuée dans les réseaux async...
The prosperity of Big Data owes to the advances in distributed computing systems, which make it poss...
In a large network of computers, wireless sensors, or mobile devices, each of the components (hence,...
Recent advances in sensing, storage, and networking technologies are creating massive amounts of dat...
Distributed machine learning bridges the traditional fields of distributed systems and machine learn...
peer reviewedWe propose a gossip-based distributed algorithm for Gaussian mixture learning, Newscast...
An analytical framework is developed for distributed management of large networks where each node ma...
In recent years, peer-to-peer (P2P) systems have emerged as a powerful networking paradigm that allo...