California Satellite Data

A Dataset, Kamalika Das's Collection - 13 years, 8 months ago

Shared By: Kamalika Das

Citation: If using this dataset please cite the following in your work: @misc{VotDasNemSri2010 , author = "Petr Votava and Kamalika Das and Rama Nemani and ...

Block-GP: Scalable Gaussian Process Regression for Multimodal Data

A Publication, Ashok Srivastava's Collection - 11 years, 2 months ago

Shared By: Ashok Srivastava

Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression ...

Block-GP: Scalable Gaussian Process Regression for Multimodal Data

A Publication, Kamalika Das's Collection - 14 years, 2 months ago

Shared By: Kamalika Das

Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression ...

Ashok Srivastava

Distributed Monitoring of the R2 Statistic for Linear Regression

A Publication, Kanishka Bhaduri's Collection - 13 years, 10 months ago

Shared By: Kanishka Bhaduri

The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one ...

Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks

A Publication, Kanishka Bhaduri's Collection - 14 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 ...

Distributed Anomaly Detection Using Satellite Data From Multiple Modalities

A Publication, Kanishka Bhaduri's Collection - 14 years, 2 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 ...

A Local Asynchronous Distributed Privacy Preserving Feature Selection Algorithm for Large Peer-to-Peer Networks

A Publication, Kanishka Bhaduri's Collection - 14 years, 4 months 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 ...

A Local Distributed Peer-to-Peer Algorithm Using Multi-Party Optimization Based Privacy Preservation for Data Mining Primitive ...

A Publication, Kanishka Bhaduri's Collection - 14 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, ...

Scalable Distributed Change Detection from Astronomy Data Streams using Local, Asynchronous Eigen Monitoring Algorithms

A Publication, Kanishka Bhaduri's Collection - 14 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 ...