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Fast and Flexible Multivariate Time Series Subsequence Search
A Publication, Ashok Srivastava's Collection - 10 years, 10 months ago
Shared By: Ashok Srivastava
Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical monitoring, and ...
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A Publication, Kanishka Bhaduri's Collection - 14 years ago
Shared By: Kanishka Bhaduri
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 ...
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Distributed Anomaly Detection Using Satellite Data From Multiple Modalities
A Publication, Kanishka Bhaduri's Collection - 13 years, 11 months ago
Shared By: Kanishka Bhaduri
There has been a tremendous increase in the volume of Earth Science data over the last decade from modern satellites, in-situ sensors and different climate ...
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Privacy Preserving Outlier Detection through Random Nonlinear Data Distortion
A Publication, Kanishka Bhaduri's Collection - 14 years ago
Shared By: Kanishka Bhaduri
Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without ...
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ν-Anomica: A Fast Support Vector based Novelty Detection Technique
A Publication, Kanishka Bhaduri's Collection - 14 years ago
Shared By: Kanishka Bhaduri
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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A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
A Publication, Kanishka Bhaduri's Collection - 14 years ago
Shared By: Kanishka Bhaduri
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 ...
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Fast and Flexible Multivariate Time Series Subsequence Search
A Publication, Kanishka Bhaduri's Collection - 14 years ago
Shared By: Kanishka Bhaduri
Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical monitoring, and ...
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A Publication, Kanishka Bhaduri's Collection - 14 years ago
Shared By: Kanishka Bhaduri
In this paper we develop a local distributed privacy preserving algorithm for feature selection in a large peer-to-peer environment. Feature selection is often used in ...
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Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams
A Publication, Kanishka Bhaduri's Collection - 14 years ago
Shared By: Kanishka Bhaduri
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A Publication, Kanishka Bhaduri's Collection - 14 years ago
Shared By: Kanishka Bhaduri
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 computation, ...
Kanishka's Projects (4)
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Aviation Safety Technology Portal ...
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