Rujia Gao

Yangzhou University

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Wanlong Li

South Dakota State University

Zhiyu Chen

Changchun University of Technology

Song Liufu

Changchun University of Technology

Yintong Wang

Nanjing Xiaozhuang University

Li‐Na Yang

Minjiang University

Tong YunHui

Luoyang Orthopedic-Traumatological Hospital of Henan Province

Liang Zhang

State Key Laboratory of Natural Medicine

Xin Liu

Hefei University of Technology

XU Jing-you

Yangzhou University

Wang Xiaomen

Cooperative Institutions

Changchun University of Technology

Yangzhou University

Wuhan University

Zhejiang University

First Affiliated Hospital of Chongqing Medical University

Chongqing Medical University

Hefei University of Technology

China University of Mining and Technology

Wenzhou Medical University

Auburn University

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Application of Full Text Search Engine Based on Lucene

Advances in Internet of Things (2012)

Rujia Gao Danying Li Wanlong Li Yaze Dong

This paper introduces us the full-text search engine based on Lucene and full-text retrieval technology, including indexing and system architecture, compares the full-text search of Lucene with the String search retrieval’s response time, the experimental results show that the full text search of Lucene has faster retrieval speed.

Full text search

Text retrieval

10.4236/ait.2012.24013

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Citations (17)

Biocontrol potential of Bacillus licheniformis W10 against peach shoot blight caused by Phomopsis amygdali

European Journal of Plant Pathology (2022)

Zhao‐Lin Ji Yang Liu Rujia Gao Liang Zhang Feng Zhu

Phomopsis

Bacillus licheniformis

10.1007/s10658-022-02627-2

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Citations (1)

Component Description Model Based on Software Architecture

Communications in computer and information science (2012)

Zhiyu Chen Liufu Song Junqiang Liu Ming Hu Rujia Gao

Component (thermodynamics)

Common Component Architecture

Resource-oriented architecture

10.1007/978-3-642-34038-3_59

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Citations (2)

An improved k-means clustering algorithm

World Automation Congress (2012)

Yintong Wang Wanlong Li Rujia Gao

K-means algorithm used in the initial cluster centers are randomly generated, then clustering results are unstable and susceptible to the noise data-objects. In this paper presents a density-based algorithm to determine the initial cluster centers, eliminate the clustering results depend on the initial cluster centers. While, optimized the methods of cluster centers re-calculation and the distance from data-object to the cluster center, reduce noise impact on the clustering results, which meets the clustering of asymmetry density cluster. Experiments on UCI datasets show that the improved algorithm can eliminate the clustering results depend on the initial cluster centers, obtain more compact cluster. Therefore, the improved K-means clustering algorithm is effective.

k-medians clustering

Single-linkage clustering

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Citations (38)

Internet news headlines classification method based on the N-Gram language model

Xin Liu Rujia Gao Song Liufu

This paper aiming at the Internet news headlines short text classification. After analysis of the traditional classification model and the characteristics of Internet news headlines, this paper presents a classification model of the N-Gram language model as the Internet news headlines. Internet news headlines classification process is divided into three modules, the preprocessing module, the training module and the prediction module. Designing a classification algorithm based on N-Gram language model Internet news headlines. The algorithm classify the Internet news headlines by calculating the probability value of the words string of unclassified and category C, while calculating the probability value it can also take into account the relevance of the previous term. So it has better classification performance.

n-gram

Relevance

Statistical classification

10.1109/csip.2012.6308980

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Citations (13)

異なる生物農薬と化学農薬の混合による桃流Jiao病原菌に対する毒力【JST・京大機械翻訳】

Nongyao (2016)

Rujia Gao You Chunmei Huang Shenxin Wang Xiaomen Ji ZhaoLin

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