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

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 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 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 ...

A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems

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

A Scalable Local Algorithm for Distributed Multivariate Regression

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

Distributed Decision-Tree Induction in Peer-to-Peer Systems

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

Distributed Identification of Top-l Inner Product Elements and its Application in a Peer-to-Peer Network

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

An Efficient Local Algorithm for Distributed Multivariate Regression

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

Peer-to-Peer Data Mining, Privacy Issues, and Games

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

Distributed Data Mining in Peer-to-Peer Networks

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

Client-side Web Mining for Community Formation in Peer-to-Peer Environments

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

Local L2 Thresholding Based Data Mining in Peer-to-Peer Systems

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

Unsupervised Anomaly Detection for Liquid-Fueled Rocket Prop...

A Publication, MARK SCHWABACHER's Collection - 14 years, 1 month 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 ...

Long-term prediction of nonlinear time series

A Publication, Indir Jaganjac's Collection - 14 years 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 ...