Time-series data mining

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

Mining Time Series Data

Much of the world’s supply of data is in the form of time series. In the last decade, there has been an explosion of interest in mining time series data. A number of new algorithms have been introduced to classify, cluster, segment, index, discover rules, and detect anomalies/novelties in time series. While these many different techniques used to solve these problems use a multitude of differen...

متن کامل

A Time series data mining

In almost every scientific field, measurements are performed over time. These observations lead to a collection of organized data called time series. The purpose of time series data mining is to try to extract all meaningful knowledge from the shape of data. Even if humans have a natural capacity to perform these tasks, it remains a complex problem for computers. In this paper we intend to prov...

متن کامل

Mining coherence in time series data

This paper presents work on modeling coherence between time series data. Work is based on the elaboration of formula that computes the distance between time series. Based on the computed distances, the method exploits the closest neighbor algorithm and leads to the construction of a phylogeny-clustering tree. Using car sales data (available on the www) we demonstrate work done and present preli...

متن کامل

Mining time-series data using discriminative subsequences

Time-series data is abundant, and must be analysed to extract usable knowledge.Local-shape-based methods offer improved performance for many problems, and acomprehensible method of understanding both data and models.For time-series classification, we transform the data into a local-shape space usinga shapelet transform. A shapelet is a time-series subsequence that is discriminat...

متن کامل

An Efficient Time Series Data Mining Technique

Data Mining is the process of discovering potentially valuable patterns, associations, trends, sequences and dependencies in data. Data mining techniques can discover information that many traditional business analysis and statistical techniques fail to deliver. In our study, we emphasis on the use of data mining techniques on time series, where mining techniques and tools are used in an attemp...

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: ACM Computing Surveys

سال: 2012

ISSN: 0360-0300,1557-7341

DOI: 10.1145/2379776.2379788