Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Mining periodic patterns in time series databases is an important data mining problem with many applications. Previous studies have considered synchronous periodic patterns where misaligned occurrences are not allod. Hover, asynchronous periodic pattern mining has received less attention and only been discussed for a sequence of symbols where each time point contains one event. ,  propose a more general model of asynchronous periodic patterns from a sequence of symbol sets where a time slot can contain multiple events. Three parameters min/spl I.bar/rep, max/spl I.bar/dis, and global/spl I.bar/rep are employed to specify the minimum number of repetitions required for a valid segment of nondisrupted pattern occurrences, the maximum allod disturbance beten two successive valid segments, and the total repetitions required for a valid sequence. A 4-phase algorithm is devised to discover periodic patterns from a time series database presented in vertical format. The experiments demonstrate good performance and scalability with large frequent patterns.
['Kuo-Yu Huang', 'Chia-Hui Chang']
I am writing a research paper on a idea SMCA: a general model for mining asynchronous periodic patterns in temporal databases
[{"from": "human", "value": "I am writing a research paper on a idea SMCA: a general model for mining asynchronous periodic patterns in temporal databases"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Mining periodic patterns in time series databases is an important data mining problem with many applications. Previous studies have considered synchronous periodic patterns where misaligned occurrences are not allod. Hover, asynchronous periodic pattern mining has received less attention and only been discussed for a sequence of symbols where each time point contains one event. ,  propose a more general model of asynchronous periodic patterns from a sequence of symbol sets where a time slot can contain multiple events. Three parameters min/spl I.bar/rep, max/spl I.bar/dis, and global/spl I.bar/rep are employed to specify the minimum number of repetitions required for a valid segment of nondisrupted pattern occurrences, the maximum allod disturbance beten two successive valid segments, and the total repetitions required for a valid sequence. A 4-phase algorithm is devised to discover periodic patterns from a time series database presented in vertical format. The experiments demonstrate good performance and scalability with large frequent patterns."}]