Frequent pattern mining is a process of mining data as a set of itemsets or patterns from a transactional database which support the minimum support threshold. A frequent pattern is a pattern (ie. a set of items, substructures, subsequences etc.) that occurs frequently in a dataset. ...
One of the fundamental data mining tasks, for both static and streaming data, is frequent pattern mining. The goal of pattern mining is to identity frequently occurring patterns and structures. Such patterns may indicate scientific phenomena, economic or social trends, or even security threats. ...
One of them is to use frequent pattern discovery methodsin Web log data. Discovering hidden information from Web log data is called Web usagemining. The aim of discovering frequent patterns in Web log data is to obtain informationabout the navigational behavior of the users. This can be used ...
Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an ...
摘要: Frequent pattern mining is a core data mining operation and has been extensively studied over the last decade. Recently, mining frequent patterns over data streams have attracted a lot of research...DOI: 10.1007/978-0-387-47534-9_4 被引量: 37 ...
As one of the most important problems in data stream mining,the frequent patterns mining with a sliding window is widely researched and used in many fields.Exiting algorithms need process all elements in the data stream,whereas users only focus on several aspects of things.So inspired by the MF...
multiple challenges: Data mining is a versatile tool. Data from almost any source and any aspect of an organization can be analyzed to discover patterns and better ways of conducting business. Almost every department in an organization that collects andanalyzes datacan benefit from data mining. ...
Mining the Frequent Patterns in an Arbitrary Sliding Window over Online Data Streams挖掘数据流任意滑动时间窗口内频繁模式 Because of the fluidity and continuity of data stream,the knowledge embedded in stream data is most likely to be changed as time goes by.Thus,in most data ... LI GuoHui,CHE...
Mining frequent patterns in transaction databases, time-series databases, and many other kinds of databases has been studied popularly in data mining research. Most of the previous studies adopt an Apriori -like candidate set generation-and-test approach. However, candidate set generation is still ...
Mining frequent patterns has been studied popularly in data mining research. However, very little work has been done on maintenance of mined frequent patterns. For the real useful frequent patterns, one must continually adjust a minimum support threshold. Expensive and repeated database scans were ...