Sequence Pattern Mining in Data Streams
نویسندگان
چکیده
منابع مشابه
Frequent Pattern Mining in Data Streams
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 interests. Compared with other streaming queries, frequent pattern mining poses great challenges due to high memory and computational costs, and accuracy requirement of the mining results. In this cha...
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The advances in processing and communication techniques resulted in a multitude of emerging applications that interact with streams of data. Traditional data mining systems store arriving data, collect them for later mining, and make multiple passes over the collected data. Unfortunately, these systems are prohibitively slow when they deal with data streams with massive amounts of data arriving...
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Sequence data arise naturally in many applications, and can be viewed as an ordering of events, where each event has an associated time of occurrence. An important characteristic of event sequences is the occurrence of episodes, i.e. a collection of events occurring in a certain pattern. Of special interest axe ~r~uent episodes, i.e. episodes occurring with a frequency above a certain threshold...
متن کاملA Regression-Based Temporal Pattern Mining Scheme for Data Streams
We devise in this paper a regression-based algorithm, called algorithm FTP-DS (Frequent Temporal Patterns of Data Streams), to mine frequent temporal patterns for data streams. While providing a general framework of pattern frequency counting, algorithm FTP-DS has two major features, namely one data scan for online statistics collection and regressionbased compact pattern representation. To att...
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Mining high utility sequential patterns (HUSPs) has emerged as an important topic in data mining. However, the existing studies on this topic focus on static data and do not consider streaming data. Streaming data are fast changing, continuously generated and unbounded in amount. Such data can easily exhaust computer resources (e.g., memory) unless proper resource-aware mining is performed. In ...
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ژورنال
عنوان ژورنال: Computer and Information Science
سال: 2015
ISSN: 1913-8997,1913-8989
DOI: 10.5539/cis.v8n3p64