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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 ...

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