See All Resources (471)
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Mining Distance-Based Outliers in Near Linear Time
A Publication, MARK SCHWABACHER's Collection - 13 years, 6 months ago
Shared By: MARK SCHWABACHER
Full title: Mining Distance-Based Outliers in Near Linear Time with Randomization and a Simple Pruning Rule Abstract: Defining outliers by their distance to neighboring examples ...
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Decadal Variations in NDVI and Food Production in India
A Publication, Ashok Srivastava's Collection - 10 years, 2 months ago
Shared By: Ashok Srivastava
In this study we use long-term satellite, climate, and crop observations to document the spatial distribution of the recent stagnation in food grain production affecting ...
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Understanding Human Error Based on Automated Analyses vol 1
A Publication, Ashok Srivastava's Collection - 10 years, 2 months ago
Shared By: Ashok Srivastava
A proactive approach to identifying and alleviating life-threatening conditions in the aviation system entails a well-defined process of identifying threats, evaluating causes, assessing risks, and ...
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Understanding Human Error Based on Automated Analyses
A Publication, Ashok Srivastava's Collection - 10 years, 2 months ago
Shared By: Ashok Srivastava
This is a report on a continuing study of automated analyses of experiential textual reports to gain insight into the causal factors of human errors ...
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Comparative Analyses of Operational Flights
A Publication, Ashok Srivastava's Collection - 10 years, 2 months ago
Shared By: Ashok Srivastava
This report describes a cooperative experiment conducted by ONERA and NASA, with the support of Airbus S.A.S. and easyJet Airline Company, Ltd. The study evaluated ...
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Aviation System Monitoring and Modeling Project
A Publication, Ashok Srivastava's Collection - 10 years, 2 months ago
Shared By: Ashok Srivastava
Air transportation, one of the most important modes of transportation, is also one of the safest. Nevertheless, the public demands that safety levels continuously improve ...
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Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams
A Publication, Kanishka Bhaduri's Collection - 13 years, 4 months ago
Shared By: Kanishka Bhaduri
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A Publication, Kanishka Bhaduri's Collection - 13 years, 4 months 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, ...
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A Publication, Kanishka Bhaduri's Collection - 13 years, 4 months ago
Shared By: Kanishka Bhaduri
This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines such as the ...
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A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems
A Publication, Kanishka Bhaduri's Collection - 13 years, 4 months ago
Shared By: Kanishka Bhaduri
In a large network of computers or wireless sensors, each of the components (henceforth, peers) has some data about the global state of the system. ...
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A Scalable Local Algorithm for Distributed Multivariate Regression
A Publication, Kanishka Bhaduri's Collection - 13 years, 4 months ago
Shared By: Kanishka Bhaduri
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm can be used for distributed inferencing, data compaction, data ...
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Distributed Decision-Tree Induction in Peer-to-Peer Systems
A Publication, Kanishka Bhaduri's Collection - 13 years, 4 months ago
Shared By: Kanishka Bhaduri
This paper offers a scalable and robust distributed algorithm for decision-tree induction in large peer-to-peer (P2P) environments. Computing a decision tree in such large distributed ...
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A Publication, Kanishka Bhaduri's Collection - 13 years, 4 months ago
Shared By: Kanishka Bhaduri
Inner product computation is an important primitive used in many techniques for feature dependency detection, distance computation, clustering and correlation computation among others. Recently, peer-to-peer ...
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An Efficient Local Algorithm for Distributed Multivariate Regression
A Publication, Kanishka Bhaduri's Collection - 13 years, 4 months ago
Shared By: Kanishka Bhaduri
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed inferencing, data compaction, data modeling ...
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Peer-to-Peer Data Mining, Privacy Issues, and Games
A Publication, Kanishka Bhaduri's Collection - 13 years, 4 months ago
Shared By: Kanishka Bhaduri
Peer-to-Peer (P2P) networks are gaining increasing popularity in many distributed applications such as file-sharing, network storage, web caching, sear- ching and indexing of relevant documents ...