nu-Anomica: A Fast Support Vector Based Anomaly Detection Technique

A Publication, Nikunj Oza's Collection - 11 years, 8 months ago

Shared By: Nikunj Oza

In this paper we propose $\nu$-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared ...

Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams

A Publication, Nikunj Oza's Collection - 12 years, 9 months ago

Shared By: Nikunj Oza

Privacy Preservation through Random Nonlinear Distortion

A Publication, Ashok Srivastava's Collection - 10 years, 10 months ago

Shared By: Ashok Srivastava

Consider a scenario in which the data owner has some private or sensitive data and wants a data miner to access them for studying important ...

Sparse Machine Learning Methods for Understanding Large Text Corpora

A Publication, Ashok Srivastava's Collection - 10 years, 10 months ago

Shared By: Ashok Srivastava

Sparse machine learning has recently emerged as powerful tool to obtain models of high-dimensional data with high degree of interpretability, at low computational cost. This ...

Algorithms for Speeding up Distance-Based Outlier Detection

A Publication, Scalable Outlier Detection on Very Large Datasets - 13 years, 3 months ago

Shared By: Kanishka Bhaduri

The problem of distance-based outlier detection is difficult to solve efficiently in very large datasets because of potential quadratic time complexity. We address this problem ...

Multivariate Time Series Search

An Algorithm, Kanishka Bhaduri's Collection - 13 years, 3 months 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 ...

Distributed Anomaly Detection using 1-class SVM for Vertically Partitioned Data

A Publication, Kanishka Bhaduri's Collection - 13 years, 7 months ago

Shared By: Kanishka Bhaduri

There has been a tremendous increase in the volume of sensor data collected over the last decade for different monitoring tasks. For example, petabytes of ...

Scalable, Asynchronous, Distributed Eigen-Monitoring of Astronomy Data Streams

A Publication, Kanishka Bhaduri's Collection - 13 years, 7 months ago

Shared By: Kanishka Bhaduri

In this paper, we develop a distributed algorithm for monitoring the principal components (PCs) for next generation of astronomy petascale data pipelines such as the ...