Research overview of related techniques and algorithms on frequent pattern mining in data stream
Zhong Da-fu
Abstract
Zhong Da-fu
Abstract
Some characters of Data stream make that static mining method can't meet the requirements of nowadays mining application.Many new techniques and methods on frequent pattern mining in data stream have been proposed.In this paper,we give an overview of these algorithms.Firstly,the concept and characters of data stream are introduced.Then related research work about data streams are introduced at home and abroad.The characters of mining frequent pattern in data stream are analyzed,and the common techniques and the representative algorithms of mining are listed.At last,future directions in data stream mining research are discussed.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Some characters of Data stream make that static mining method can't meet the requirements of nowadays mining application.Many new techniques and methods on frequent pattern mining in data stream have been proposed.In this paper,we give an overview of these algorithms.Firstly,the concept and characters of data stream are introduced.Then related research work about data streams are introduced at home and abroad.The characters of mining frequent pattern in data stream are analyzed,and the common techniques and the representative algorithms of mining are listed.At last,future directions in data stream mining research are discussed.
Key concepts: Data stream mining, Computer science, Data mining, Data stream, Data science, Telecommunications