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    Chapter and Conference Paper

    Monte Carlo Based Incremental PageRank on Evolving Graphs

    Computing PageRank for enormous and frequently evolving real-world network consumes sizable resource and comes with large computational overhead. To address this problem, IMCPR, an incremental PageRank algorit...

    Qun Liao, ShuangShuang Jiang, Min Yu in Advances in Knowledge Discovery and Data M… (2017)

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    Chapter and Conference Paper

    Mining Drug Properties for Decision Support in Dental Clinics

    The rise of polypharmacy requires from health providers an awareness of a patient’s drug profile before prescribing. Existing methods to extract information on drug interactions do not integrate with the patie...

    Wee Pheng Goh, **aohui Tao, Ji Zhang in Advances in Knowledge Discovery and Data M… (2017)

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    Chapter and Conference Paper

    Parallel Visual Assessment of Cluster Tendency on GPU

    Determining the number of clusters in a data set is a critical issue in cluster analysis. The Visual Assessment of (cluster) Tendency (VAT) algorithm is an effective tool for investigating cluster tendency, wh...

    Tao Meng, Bo Yuan in Advances in Knowledge Discovery and Data Mining (2017)

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    Chapter and Conference Paper

    A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset

    The use of intelligent technologies in clinical decision making have started playing a vital role in improving the quality of patients’ life and hel** in reduce cost and workload involved in their daily heal...

    Raid Lafta, Ji Zhang, **aohui Tao, Yan Li in Advances in Knowledge Discovery and Data M… (2017)

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    Chapter and Conference Paper

    Efficient Bi-level Variable Selection and Application to Estimation of Multiple Covariance Matrices

    Variable selection plays an important role in analyzing high dimensional data. When the data possesses certain group structures in which individual variables are also meaningful scientifically, we are naturall...

    Duy Nhat Phan, Hoai An Le Thi, Dinh Tao Pham in Advances in Knowledge Discovery and Data M… (2017)

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    Chapter and Conference Paper

    Sensitive Edges Protection in Social Networks

    With the increasing popularity of online social networks, such as twitter and weibo, privacy preserving publishing of social network data has raised serious concerns. In this paper, we focus on the problem of ...

    Liangwen Yu, Tao Yang, Zhengang Wu, Jiawei Zhu in Web-Age Information Management (2013)

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    Chapter and Conference Paper

    Reverse Top-k Group Nearest Neighbor Search

    This paper identifies and solves a novel query, namely, R everse Top- k G roup N earest N ...

    Tao Jiang, Yunjun Gao, Bin Zhang, Qing Liu, Lu Chen in Web-Age Information Management (2013)

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    Chapter and Conference Paper

    EasyControl: Improve Database Throughput under Overloading

    When facing big data, overloading in database usually occurs, leading to the decline in performance. This is a problem that has been studying for long but still not completely solved yet. Preventing overloadin...

    Chengkai Tao, Qizhi Liu, Yan Zhang in Web-Age Information Management (2013)

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    Chapter and Conference Paper

    RGH: An Efficient RSU-Aided Group-Based Hierarchical Privacy Enhancement Protocol for VANETs

    VANETs are gaining significant prominence from both academia and industry in recent years. In this paper, we introduce an Efficient RSU-aided Group-based Hierarchical Privacy Enhancement Protocol for VANETs. T...

    Tao Yang, Lingbo Kong, Liangwen Yu, Jianbin Hu in Web-Age Information Management (2012)

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    Chapter

    Personalized Privacy Preservation

    Unlike conventional methods that exert the same amount of privacy control over all the tuples in the microdata, personalized privacy preservation applies various degrees of protection to different tuples, subject...

    Yufei Tao, **aokui **ao in Privacy-Preserving Data Mining (2008)