Recognizing patterns in streams with imprecise timestamps

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Recognizing Patterns in Streams with Imprecise Timestamps

Large-scale event systems are becoming increasingly popular in a variety of domains. Event pattern evaluation plays a key role in monitoring applications in these domains. Existing work on pattern evaluation, however, assumes that the occurrence time of each event is known precisely and the events from various sources can be merged into a single stream with a total or partial order. We observe ...

متن کامل

Recognizing Patterns in Streams with Imprecise Timestamps Technical Report

Large-scale event systems are becoming increasingly popular in a variety of domains. Event pattern evaluation plays a key role in monitoring applications in these domains. Existing work on pattern evaluation, however, assumes that the occurrence time of each event is known precisely and the events from various sources can be merged into a single stream with a total or partial order. We observe ...

متن کامل

On Real-Time Monitoring with Imprecise Timestamps

Existing real-time monitoring approaches assume traces with precise timestamps. Their correctness is thus indefinite when monitoring the behavior of systems with imprecise clocks. We address this problem for a metric temporal logic: We identify classes of formulas for which we can leverage existing monitors to correctly reason about observed system

متن کامل

Interval-based Queries over Multiple Streams with Missing Timestamps

Recognising patterns that correlate multiple events over time becomes increasingly important in applications from urban transportation to surveillance monitoring. In many realworld scenarios, however, timestamps of events may be erroneously recorded and events may be dropped from a stream due to network failures or load shedding policies. In this work, we present SimpMatch, a novel simplex-base...

متن کامل

Recognizing Daily Activities from Egocentric Photo-Streams

Wearable cameras can gather large amounts of image data that provide rich visual information about the daily activities of the wearer. Motivated by the large number of health applications that could be enabled by the automatic recognition of daily activities, such as lifestyle characterization for habit improvement, context-aware personal assistance and tele-rehabilitation services, we propose ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Proceedings of the VLDB Endowment

سال: 2010

ISSN: 2150-8097

DOI: 10.14778/1920841.1920875