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Particle Swarm Optimization (PSO) based Fuzzy c-means (FCM) methods typically use random initialization, and could incur substantial computation costs in processing big data, although PSO facilitates the global optimization, based on our previous work [1]. This paper further developed and evaluated our data density-pattern based algorithm to guide initialization and to achieve better computational...
One of the focuses of smart manufacturing is to create manufacturing intelligence from real-time data to support accurate and timely decision-making. Therefore, data-driven statistical process monitoring is expected to contribute significantly to the advancement of smart manufacturing. In this work, a roadmap of statistical process monitoring (SPM) is presented and we propose statistics pattern analysis...
Recently, Online social networks (OSNs) are growing at a phenomenal rate, and OSN service providers need to consider how to place users' data to multiple servers inside a data center. Key-value stores use consistent hashing to efficiently solve the problem of data placement, and turn into a defacto standard. However, random placement manner of hashing cannot preserve social locality, which leads to...
The number of application based on Apache Hadoop is increasing dramatically due to the robustness and dynamic features of this system. At the heart of Apache Hadoop, the Hadoop File System (HDFS) provides the reliability, scalability and high availability to computation by applying a static replication strategy. However, because of the characteristics of parallel operations on the application layer,...
With Recommendation technology has been widely used in advertising push, e-commerce and other fields and it has shown its powerful application prospect. But with the index increasing of mobile commerce data size, the size of the recommendation system is also increased and this leads to that the traditional collaborative filtering recommendation algorithm cannot adapt to such a big data processing...
Big Data boosts the development of data management and analysis in database systems but it also poses a challenge to traditional database. NoSQL databases are provided to deal with the new challenges brought by Big Data because of its high performance, storage, scalability and availability. In NoSQL databases, it is an essential requirement to provide scalable and efficient index services for real-time...
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