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The efficiency of mining association rules is an important field of Knowledge Discovery in Databases. The Apriori algorithm is a classical algorithm in mining association rules. This paper presents an improved Apriori algorithm to increase the efficiency of generating association rules. This algorithm adopts a new method to reduce the redundant generation(More)
This paper proposes a XML security E-commerce mode, which deals with the security problems of data transmission in E-commerce. Comparing with the traditional methods, the new mode can operate any parts of the data documents according to userspsila desires, and to encrypt and authenticate in arbitrary sequences. For its high flexibility, the new mode is able(More)
Efficiency has been concerned in the research of association rules mining. This paper presents an improved method called Direct-Fined-Remove (DFR) algorithm to mine a database consisting of remove and direct steps. When pruning the candidates itemsets, the algorithm eliminate non-frequent subset of candidates in the remove steps. In the direct steps, the(More)
Apriori algorithm is a classical algorithm of association rule mining and widely used for mining association rule which uses frequent item. This classical algorithm is inefficient due to so many scans of database. And if the database is large, it takes too much time to scan the database. To reduce these two limitations, this paper proposes a new technique(More)
As cloud computing becomes increasingly popular, cloud providers compete to offer the same or similar services over the Internet. Quality of service (QoS), which describes how well a service is performed, is an important differentiator among functionally equivalent services. It can help a firm to satisfy and win its customers. As a result, how to assist(More)
Data enriching theories of commercial information are studied. The data enriching algorithm is defined: the optimization discernibility set is acquired by improving discernibility matrix first, and then the algorithm is called recursively by using frequency information of attribute, finally the enriching attribute set is found out. The algorithm is applied(More)
Association rules are the main technique to determine the frequent item set in data mining. When a large number of item sets are processed by the database, it needs to be scanned multiple times. Consecutively, multiple scanning of the database increases the number of rules generation, which then consume more system resources. Existing approach TR-BAM scans(More)
As cloud computing becomes increasingly popular, cloud providers compete to offer the same or similar services over the Internet. Quality of Service (QoS), which describes how well a service is performed, is an important differentiator among functionally equivalent services. As a result, how to help users to find cloud services that meet their QoS(More)
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