Association Service Mining using Level Cross Tree
نویسندگان
چکیده
منابع مشابه
Mining Weighted Association Rule using FP – tree
The main goal of association rule mining is to examine large transaction databases which reveal implicit relationship among the data attributes. Classical association rule mining model assumes that all items have same significance without assigning their weight within a transaction or record. This proposed method gives importance for the items and transactions while calculating weight on variou...
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Association mining was originally developed and successfully applied to analyze the sale transactions of retail goods. According to common practices of association mining, each item is treated equally. But in a service order transaction especially in a telecom setup, an item (service) can be in several states. We propose a simple solution to analyze service order data using association mining b...
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In many database applications, information stored in a database has a built-in hierarchy consisting of multiple levels of concepts. A concept hierarchy, for example, may reflect a categorization of items sold in a department store, such as electronics, computers, desktop computers, etc. In such a database, users may want to find out association rules among items only at the same level or associ...
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Association rule mining has received broad research in the academic and wide application in the real world. As a result, many variations exist and one such variant is the mining of multi-level rules. The mining of multi-level rules has proved to be useful in discovering important knowledge that conventional algorithms such as Apriori, SETM, DIC etc., miss. However, existing techniques for minin...
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Extracting multilevel association rules in transaction databases is most commonly used tasks in data mining. This paper proposes a multilevel association rule mining using fuzzy concepts. This paper uses different fuzzy membership function to retrieve efficient association rules from multi level hierarchies that exist in a transaction dataset. In general, the data can spread into many hierarchi...
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ژورنال
عنوان ژورنال: Journal of Digital Contents Society
سال: 2014
ISSN: 1598-2009
DOI: 10.9728/dcs.2014.15.5.569