Periodic pattern mining is the task of discovering patterns that periodically appear in transactions. Typically, periodic pattern mining algorithms will discard a pattern as being nonperiodic if it has a single period greater than a maximal periodicity threshold, defined by the user. A major drawback of this approach is that it is not flexible, as a pattern can be discarded based on only one of its periods. In this chapter, we present a solution to this issue by proposing to discover periodic patterns using three measures: the minimum periodicity, the maximum periodicity, and the average periodicity. The combination of these measures has the advantage of being more flexible. Properties of these measures are studied. Moreover, an efficient a...
Mining Frequent Patterns in transaction database TD has been studied extensively in data mining rese...
Sequential pattern mining approaches mainly deal with finding the positive behaviour of a sequential...
Abstract — The search for the periodicity in time-series database has a number of application, is an...
Discovering periodic patterns in a customer transaction database is the task of identifying itemsets...
Discovering periodic patterns in a customer transaction database is the task of identifying item-set...
Numerous methods can identify patterns exhibiting a periodic behavior. Nonetheless, a problem of the...
Discovering periodic patterns in a customer transaction database is the task of identifying itemsets...
Frequent Sequence Mining (FSM) is a fundamental task in data mining. Although FSM algorithms extract...
Most of the existing frequent pattern mining algorithm does not consider the time stamps associated ...
Owing to a large number of applications periodic pattern mining has been extensively studied for ove...
Partial periodicity search, i.e., search for partial periodic patterns in time-series databases, is ...
International audienceTemporal periodicity of patterns can be regarded as an important criterion for...
International audienceTemporal periodicity of patterns can be regarded as an important criterion for...
International audienceTemporal periodicity of patterns can be regarded as an important criterion for...
[[abstract]]Numerous efforts had been made on periodic pattern mining in the past years. The problem...
Mining Frequent Patterns in transaction database TD has been studied extensively in data mining rese...
Sequential pattern mining approaches mainly deal with finding the positive behaviour of a sequential...
Abstract — The search for the periodicity in time-series database has a number of application, is an...
Discovering periodic patterns in a customer transaction database is the task of identifying itemsets...
Discovering periodic patterns in a customer transaction database is the task of identifying item-set...
Numerous methods can identify patterns exhibiting a periodic behavior. Nonetheless, a problem of the...
Discovering periodic patterns in a customer transaction database is the task of identifying itemsets...
Frequent Sequence Mining (FSM) is a fundamental task in data mining. Although FSM algorithms extract...
Most of the existing frequent pattern mining algorithm does not consider the time stamps associated ...
Owing to a large number of applications periodic pattern mining has been extensively studied for ove...
Partial periodicity search, i.e., search for partial periodic patterns in time-series databases, is ...
International audienceTemporal periodicity of patterns can be regarded as an important criterion for...
International audienceTemporal periodicity of patterns can be regarded as an important criterion for...
International audienceTemporal periodicity of patterns can be regarded as an important criterion for...
[[abstract]]Numerous efforts had been made on periodic pattern mining in the past years. The problem...
Mining Frequent Patterns in transaction database TD has been studied extensively in data mining rese...
Sequential pattern mining approaches mainly deal with finding the positive behaviour of a sequential...
Abstract — The search for the periodicity in time-series database has a number of application, is an...