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With the rapid development of remote sensing platform technology, the amount of remote sensing data information has increased explosively. Solving the data recommendation for user specific behavior and application is the key to the application efficiency ...

In view of the changing interests of users of remote sensing information, this paper proposes a self-adaptive recommendation technology for remote sensing information based on behavior analysis. Through real-time collection and feedback of user's ...

This study aims to explore the influence of interactive and non-interactive e-books used in nursing education courses on the achievement of high achievement and low achievement students. This study used a quasi-experimental study design with two ...

HAWQ, developed at Pivotal, is a massively parallel processing SQL engine sitting on top of HDFS. As a hybrid of MPP database and Hadoop, it inherits the merits from both parties. It adopts a layered architecture and relies on the distributed file ...

In the cloud computing era, the goal of data center network is not only to interconnect a large number of servers, but also to provide low latency and high bandwidth. A new 2-layer architecture, C-tree, is proposed for cloud computing in this paper. It ...

Ice shape feature parameters include iced area, icing mass, lower horn angle, upper horn angle, lower icing limit, upper icing limit, lower horn thickness and upper horn thickness, etc. Using the Partial Least Square (PLS) method, regression models for ...

This paper proposes an efficient algorithm, HOCT, for CRF training on modern computer architectures. First, software prefetching techniques are utilized to hide cache miss latency. Second, we exploit SIMD to process data in parallel. Third, when dealing ...

Finding authoritative people of a given field automatically within a large organization is quite helpful in various aspects, such as problem consulting and team building. In this paper, a novel aggregation model is proposed to solve the problem of ...

Recent study shows that mining compact frequent patterns (such as closed patterns and compressed patterns) can alleviate the interpretability and efficiency problem encountered by traditional frequent pattern mining methods. Compact frequent patterns ...

Previous studies have shown mining closed patterns provides more benefits than mining the complete set of frequent patterns, since closed pattern mining leads to more compact results and more efficient algorithms. It is quite useful in a data stream ...

In oil and gas drilling engineering, drill stem failure is one of the most damaging factors. The failures of drill stem not only delay the drilling schedule and increase the drilling cost, but also bring an interruption to the drilling process. ...

Alternating Decision Tree (ADTree) is a successful classification model based on boosting and has a wide range of applications. The existing ADTree induction algorithms apply a "top-down" strategy to evaluate the best split at each boosting iteration, ...

Recently, mining compact frequent patterns (for example closed patterns and compressed patterns) has received much attention from data mining researchers. These studies try to address the interpretability and efficiency problems encountered by ...

Current sequential pattern mining algorithms often produce a large number of patterns. It is difficult for a user to explore in so many patterns and get a global view of the patterns and the underlying data. In this paper, we examine the problem of how ...