Time Series Management Systems: A Survey

نویسندگان
چکیده

برای دانلود رایگان 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

A Survey of Dynamic Real-Time Memory Management Systems

In general, hard real-time applications avoid the use of dynamic memory management systems due to the unbounded response times of dynamic memory management operations. Since the complexity of real-time applications grows, dynamic memory management systems are needed to increase their flexibility and functionalities. There exist memory management systems that offer O(1) operations’ response time...

متن کامل

Time Series Abstraction Methods - A Survey

In knowledge discovery from time series the goal is to detect interesting patterns in the series that may help a human to better recognize the regularities in the observed variables and thereby improve the understanding of the system. Computer programs are very good in number crunching, but knowledge arises only in the head of a human. Ideally, knowledge discovery algorithms therefore use time ...

متن کامل

Clustering of time series data - a survey

Time series clustering has been shown effective in providing useful information in various domains. There seems to be an increased interest in time series clustering as part of the effort in temporal data mining research. To provide an overview, this paper surveys and summarizes previous works that investigated the clustering of time series data in various application domains. The basics of tim...

متن کامل

Workflow Management Systems: A Survey

Workflow management systems can help business goals to be achieved with high efficiency by means of sequencing work activities and invoking appropriate human and/or information resources associated with these activities. As computer networks are used more and more widely in daily work, workflow management attracts more and more attention from both industry and research communities. This paper s...

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: IEEE Transactions on Knowledge and Data Engineering

سال: 2017

ISSN: 1041-4347

DOI: 10.1109/tkde.2017.2740932