Towards Software Health Management with Bayesian Networks

A Publication, Ashok Srivastava's Collection - 10 years, 1 month ago

Shared By: Ashok Srivastava

As software and software intensive systems are becoming increasingly ubiquitous, the impact of failures can be tremendous. In some industries such as aerospace, medical devices, ...

Analysis of Virtual Sensors for Predicting Aircraft Fuel Consumption

A Publication, Virtual Sensors - 10 years, 3 months ago

Shared By: Ashok Srivastava

Previous research described the use of machine learning algorithms to predict aircraft fuel consumption. This technique, known as Virtual Sensors, models fuel consumption as a ...

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

A Publication, Nikunj Oza's Collection - 11 years 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 ...

Topic Modeling for OLAP on Multidimensional Text Databases: Topic Cube and its Applications

A Publication, Nikunj Oza's Collection - 12 years, 1 month ago

Shared By: Nikunj Oza

As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data ...

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

A Publication, Nikunj Oza's Collection - 12 years, 1 month ago

Shared By: Nikunj Oza

Towards Software Health Management with Bayesian Networks

A Publication, Ashok Srivastava's Collection - 10 years, 1 month ago

Shared By: Ashok Srivastava

More and more systems such as aircraft, machinery, and cars rely heavily on software, which performs safety-critical operations. Assuring software safety though traditional V&V; has ...

Sparse Inverse Gaussian Process Regression with Application to Climate Network Discovery

A Publication, Ashok Srivastava's Collection - 10 years, 3 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. Gaussian Process regression is ...

Privacy Preservation through Random Nonlinear Distortion

A Publication, Ashok Srivastava's Collection - 10 years, 3 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 ...

Trajectory Clustering with Applications to Airspace Monitoring

A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

Shared By: Ashok Srivastava

This paper presents a framework aimed at monitoring the behavior of aircraft in a given airspace. Trajectories that constitute typical operations are determined and learned ...