See All Resources (471)
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Distributed Data Mining in Peer-to-Peer Networks
A Publication, Kanishka Bhaduri's Collection - 13 years, 4 months ago
Shared By: Kanishka Bhaduri
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 ...
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Client-side Web Mining for Community Formation in Peer-to-Peer Environments
A Publication, Kanishka Bhaduri's Collection - 13 years, 4 months ago
Shared By: Kanishka Bhaduri
In this paper we present a framework for forming interests-based Peer-to-Peer communities using client-side web browsing history. At the heart of this framework is the ...
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Local L2 Thresholding Based Data Mining in Peer-to-Peer Systems
A Publication, Kanishka Bhaduri's Collection - 13 years, 4 months ago
Shared By: Kanishka Bhaduri
In a large network of computers, wireless sensors, or mobile devices, each of the components (hence, peers) has some data about the global status of ...
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Unsupervised Anomaly Detection for Liquid-Fueled Rocket Prop...
A Publication, MARK SCHWABACHER's Collection - 13 years, 6 months ago
Shared By: MARK SCHWABACHER
Title: Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring. Abstract: This article describes the results of applying four unsupervised anomaly detection algorithms to data ...
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Long-term prediction of nonlinear time series
A Publication, Indir Jaganjac's Collection - 13 years, 4 months ago
Shared By: Indir Jaganjac
This paper is about applying recurrent least squares support vector machines (LS-SVM) on three ESTSP08 competition datasets. Least squares support vector machines are used as ...
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A Local Scalable Distributed EM Algorithm for Large P2P Networks
A Publication, Ashok Srivastava's Collection - 10 years, 2 months ago
Shared By: Ashok Srivastava
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 ...
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Anomica: Fast Support Vector Based Novelty Detection
A Publication, Ashok Srivastava's Collection - 10 years, 2 months ago
Shared By: Ashok Srivastava
In this paper we propose ν-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared ...
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New Approaches To Photometric Redshift Prediction
A Publication, Ashok Srivastava's Collection - 10 years, 2 months ago
Shared By: Ashok Srivastava
Expanding upon the work of Way & Srivastava (2006) we demonstrate how the use of training sets of comparable size continue to make Gaussian Process ...
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Highly Scalable Matching Pursuit Signal Decomposition Algorithm
A Publication, Ashok Srivastava's Collection - 10 years, 2 months ago
Shared By: Ashok Srivastava
In this research, we propose a variant of the classical Matching Pursuit Decomposition (MPD) algorithm with significantly improved scalability and computational performance. MPD is a ...
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Data Mining at NASA: From Theory to Applications
A Publication, Ashok Srivastava's Collection - 10 years, 2 months ago
Shared By: Ashok Srivastava
NASA has some of the largest and most complex data sources in the world, with data sources ranging from the earth sciences, space sciences, and ...
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Classification of Damage Signatures in Composite Plates using On
A Publication, Santanu Das's Collection - 13 years, 6 months ago
Shared By: Santanu Das
Damage characterization through wave propagation and scattering is of considerable interest to many non-destructive evaluation techniques. For fiber-reinforced composites, complex waves can be generated during ...
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Predicting Engine Parameters using the Optical Spectrum
A Publication, Ashok Srivastava's Collection - 10 years, 2 months ago
Shared By: Ashok Srivastava
The Optical Plume Anomaly Detection (OPAD) system is under development to predict engine anomalies and engine parameters of the Space Shuttle's Main Engine (SSME). The ...
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Discovery of Recurring Anomalies in Text Reports
A Publication, Ashok Srivastava's Collection - 10 years, 2 months ago
Shared By: Ashok Srivastava
This paper describes the results of a significant research and development effort conducted at NASA Ames Research Center to develop new text mining algorithms to ...
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Onboard Detection of Snow, Ice, Clouds, and Other Processes
A Publication, Ashok Srivastava's Collection - 10 years, 2 months ago
Shared By: Ashok Srivastava
The detection of clouds within a satellite image is essential for retrieving surface geophysical parameters from optical and thermal imagery. Even a small percentage of ...
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Mixture Density Mercer Kernels: A Method to Learn Kernels
A Publication, Ashok Srivastava's Collection - 10 years, 2 months ago
Shared By: Ashok Srivastava
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian ...