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Context: The assessment of Threats to Validity (TTVs) is critical to secure the quality of empirical studies in Software Engineering (SE). In the recent decade, Systematic Literature Review (SLR) was becoming an increasingly important empirical research method in SE. One of the mechanisms of insuring the level of scientific value in the findings of an SLR is to rigorously assess its validity. Hence,...
In this paper, an SVM (Support Vector Machines)-based P2P (Peer-to-peer) traffic identification algorithm is presented. It could capture traffic information online, training-offline and categories online. The SVM algorithm uses double characteristics IP and IP-Port to identify P2P traffic by means of different traffic features separately. From results of experiments, we proved that choosing the appropriate...
Peer-to-peer technology has become an extremely popular Internet application technology. This technology opens enormous business opportunities to the Internet and also seriously interferes with the quality of the Internet service. The traditional single deep flow inspection or deep packet inspection detection systems have owns merits and demerits. This paper describes a new peer-to-peer traffic identification...
DPI identification technology is a main technique of P2P data stream identification technology; the advantages of it are higher accuracy and the ability of distinguishing accurately which type of P2P applications. But it is difficult to apply in highspeed networks due to its slow execution speed. To solve this problem, this paper suggests six sampling strategies: invariable random sampling, invariable...
This paper studies buyback contract with options in the supply chain. We propose the buyback contract with options is a generalization of the average buyback contract, prove that the expectation profit function of retailer with buyback contract with options is joint concave function of the decision variables and get the analytical solution. And we compare the optimal strategies with different contracts.
The common association rules mining methods in multiple databases were inefficient due either to larger amount of candidate itemsets for communication overhead or higher times of database scan. Based on discussing the relation between the concept of pruned concept lattice and the representation of frequent itemsets, the closed frequent itemsets of pruned concept lattice was defined. UMPCL, an approximately...
The effective representation and amalgamating extraction method of frequent itemsets in distributed databases is important to improve the result of distributed association rules mining. The common methods are inefficient due either to higher number of database scan or to larger amount of candidate itemsets for communication. Based on discussing the relation between the concept of pruned concept lattice...
Nowadays, association rules mining from large databases is an active research field of data mining motivated by many application areas. However, there are some problems in the strong association rules mining based on support-confidence framework. Firstly, there are a great number of redundant association rules generated, then it is difficult for user to find the interesting ones in them; secondly,...
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