Add to ORKGIn many application domains, data can be represented as a series of values (time series). Examples include stocks, seismic signals, audio and many more. Similarity search in time series databases is an important research direction. Several methods have been proposed in order to provide algorithms for efficien
DoctorThis dissertation studies an efficient similarity search for time series data represented as i...
Because time series are a ubiquitous and increasingly prevalent type of data, there has been much re...
AbstractTime series data are commonly used in data mining. Clustering is the most frequently used me...
There has been much research work on similarity search in time series for many years. In this paper,...
Similarity search in time series data is required in many application fields. The most prominent wor...
We study a set of linear transformations on the Fourier series representation of a sequence that can...
There has been huge progress in the time series domain. Every day, a large volume of time series dat...
We study similarity queries for time series data where similarity is defined in terms of a set of li...
A Time Series Clique (TSC) consists of multiple time series which are related to each other by natur...
Sequences constitute a large portion of data stored in databases. Data mining applications require t...
Time series prediction and control may involve the study of massive data archive and require some ki...
Abstract: In this paper, a method called MABI (moving average based indexing) is proposed to effect...
In this paper, a method called MABI (moving average based indexing) is proposed to effectively deal ...
Time series data occurs in many real world applications. For examplea system might have a database w...
Time series is a group of random numbers which are composed of the values of the same index accordin...
DoctorThis dissertation studies an efficient similarity search for time series data represented as i...
Because time series are a ubiquitous and increasingly prevalent type of data, there has been much re...
AbstractTime series data are commonly used in data mining. Clustering is the most frequently used me...
There has been much research work on similarity search in time series for many years. In this paper,...
Similarity search in time series data is required in many application fields. The most prominent wor...
We study a set of linear transformations on the Fourier series representation of a sequence that can...
There has been huge progress in the time series domain. Every day, a large volume of time series dat...
We study similarity queries for time series data where similarity is defined in terms of a set of li...
A Time Series Clique (TSC) consists of multiple time series which are related to each other by natur...
Sequences constitute a large portion of data stored in databases. Data mining applications require t...
Time series prediction and control may involve the study of massive data archive and require some ki...
Abstract: In this paper, a method called MABI (moving average based indexing) is proposed to effect...
In this paper, a method called MABI (moving average based indexing) is proposed to effectively deal ...
Time series data occurs in many real world applications. For examplea system might have a database w...
Time series is a group of random numbers which are composed of the values of the same index accordin...
DoctorThis dissertation studies an efficient similarity search for time series data represented as i...
Because time series are a ubiquitous and increasingly prevalent type of data, there has been much re...
AbstractTime series data are commonly used in data mining. Clustering is the most frequently used me...