1 / 1

Distributed KBTA: Temporal Abstraction Computation

This project focuses on utilizing Knowledge-Based Temporal Abstractions (KBTA) to integrate continuously measured data and events with a temporal-abstraction knowledge base. By generating automatic temporal abstractions, interesting temporal patterns can be detected and monitored. Evaluation of different strategies to compute abstractions from massive raw data is the primary goal. For inquiries, contact Asaf Shabtai at shabtaia@bgu.ac.il.

radha
Télécharger la présentation

Distributed KBTA: Temporal Abstraction Computation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Parallel Computation of Knowledge-Based Temporal Abstractions Distributed KBTA • Using KBTA, continuously measured data and events are integrated with a temporal-abstraction knowledge-base to create higher-level, time-oriented concepts and patterns, also known as temporal abstractions • Automatically-generated temporal abstractions can be monitored to detect interesting temporal patterns • The project will focus on evaluating various strategies for computing abstractions from large amounts of raw data Asaf Shabtai, shabtaia@bgu.ac.il

More Related