Discovering generalized association rules from Twitter
نویسندگان
چکیده
منابع مشابه
Discovering Association Rules Change from Large Databases
Discovering association rules and association rules change (ARC) from existing large databases is an important problem. This paper presents an approach based on multi-hash chain structures to mine association rules change from large database with shorter transactions. In most existing algorithms of association rules change, the mining procedure is divided into two phases, first, association rul...
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The integration of data mining techniques with data warehousing is gaining popularity due to the fact that both disciplines complement each other in extracting knowledge from large datasets. However, the majority of approaches focus on applying data mining as a front end technology to mine data warehouses. Surprisingly, little progress has been made in incorporating mining techniques in the des...
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Association rule algorithms can produce a very large number of output patterns. This has raised questions of whether the set of discovered rules \over t" the data because all the patterns that satisfy some constraints are generated (the Bonferroni e ect). In other words, the question is whether some of the rules are \false discoveries" that are not statistically signi cant. We present a novel a...
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We introduce the problem of mining generalized association rules. Given a large database of transactions, where each transaction consists of a set of items, and a taxonomy (is-a hierarchy) on the items, we find associations between items at any level of the taxonomy. For example, given a taxonomy that says that jackets is-a outerwear is-e clothes, we may infer a rule that “people who buy outerw...
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Temporal association rule mining promises the ability to discover time-dependent correlations or patterns between events in large volumes of data. To date, most temporal data mining research has focused on events existing at a point in time rather than over a temporal interval. In comparison to static rules, mining with respect to time points provides semantically richer rules. However, accommo...
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ژورنال
عنوان ژورنال: Intelligent Data Analysis
سال: 2013
ISSN: 1571-4128,1088-467X
DOI: 10.3233/ida-130597