We present a novel technique to identify calendar-based (annual, monthly and daily) periodicities of an interval-based temporal pattern. An interval-based temporal pattern is a pattern that occurs across a time-interval, then disappears for some time, again recurs across another time-interval and so on and so forth. Given the sequence of time-intervals in which an interval-based temporal pattern has occurred, we propose a method for identifying the extent to which the pattern is periodic with respect to a calendar cycle. In comparison to previous work, our method is asymptotically faster. We also show an interesting relationship between periodicities across different levels of any hierarchical timestamp (year/month/day, hour/minute/second e...
Abstract—This paper describes an algorithm for determining if an event occurs on a routine basis wit...
Periodic pattern detection in time-ordered sequences is an important data mining task, which discove...
[[abstract]]Sequential pattern mining is an important subfield in data mining. Recently, discovering...
The important class of regularities that exist in a time series is nothing but the Partial periodic ...
Most of the existing frequent pattern mining algorithm does not consider the time stamps associated ...
Numerous methods can identify patterns exhibiting a periodic behavior. Nonetheless, a problem of the...
Abstract In this paper, we address the problem of identifying periodically occurring patterns in a t...
In many applications that track and analyze spatiotemporal data, movements obey periodic patterns; t...
Abstract—Periodicy detection in time series data is a challenging problem of great importance in man...
A large class of problems deals with temporal data. Identifying temporal patterns in these datasets ...
Sequential pattern mining approaches mainly deal with finding the positive behaviour of a sequential...
In this paper we study a new problem in temporal pattern mining: discovering frequent arrangements o...
A method for periodicity detection is proposed where unlike available methods a periodic component i...
The mining of periodic patterns in time series databases is an interesting data mining problem that...
Partial periodicity search, i.e., search for partial periodic patterns in time-series databases, is ...
Abstract—This paper describes an algorithm for determining if an event occurs on a routine basis wit...
Periodic pattern detection in time-ordered sequences is an important data mining task, which discove...
[[abstract]]Sequential pattern mining is an important subfield in data mining. Recently, discovering...
The important class of regularities that exist in a time series is nothing but the Partial periodic ...
Most of the existing frequent pattern mining algorithm does not consider the time stamps associated ...
Numerous methods can identify patterns exhibiting a periodic behavior. Nonetheless, a problem of the...
Abstract In this paper, we address the problem of identifying periodically occurring patterns in a t...
In many applications that track and analyze spatiotemporal data, movements obey periodic patterns; t...
Abstract—Periodicy detection in time series data is a challenging problem of great importance in man...
A large class of problems deals with temporal data. Identifying temporal patterns in these datasets ...
Sequential pattern mining approaches mainly deal with finding the positive behaviour of a sequential...
In this paper we study a new problem in temporal pattern mining: discovering frequent arrangements o...
A method for periodicity detection is proposed where unlike available methods a periodic component i...
The mining of periodic patterns in time series databases is an interesting data mining problem that...
Partial periodicity search, i.e., search for partial periodic patterns in time-series databases, is ...
Abstract—This paper describes an algorithm for determining if an event occurs on a routine basis wit...
Periodic pattern detection in time-ordered sequences is an important data mining task, which discove...
[[abstract]]Sequential pattern mining is an important subfield in data mining. Recently, discovering...