1[期刊论文]

Optimizing star-coordinate visualization models for effective interactive cluster exploration on big data

作者：Keke Chen

来源：Intelligent Data Analysis. 2014 ;18(2):117-136.doi:10.3233/IDA-140633

出版社：IOS Press

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2[期刊论文]

Geometric data perturbation for privacy preserving outsourced data mining

作者：Keke Chen ;Ling Liu

来源：Knowledge and Information Systems. 2011 ;29(3):657-695.doi:10.1007/s10115-010-0362-4

出版社：Springer Nature

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3[期刊论文]

“Best K”: critical clustering structures in categorical datasets

作者：Keke Chen ;Ling Liu

来源：Knowledge and Information Systems. 2009 ;20(1):1-33.doi:10.1007/s10115-008-0159-x

出版社：Springer Nature

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4[期刊论文]

HE-Tree: a framework for detecting changes in clustering structure for categorical data streams

作者：Keke Chen ;Ling Liu

来源：The VLDB Journal. 2009 ;18(6):1241-1260.doi:10.1007/s00778-009-0134-5

出版社：Springer Nature

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5[期刊论文]

VISTA: Validating and Refining Clusters Via Visualization

作者：Keke Chen ;Ling Liu

来源：Information Visualization. 2004 ;3(4):257-270.doi:10.1057/palgrave.ivs.9500076

出版社：SAGE Publications

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6[期刊论文]

Customer Equity Promotion of Social Network Websites: An Application Study of Renren

作者：Jngbo Shao ;Keke Chen

来源：Information Technology Journal. 2013 ;12(7):1400-1405.doi:10.3923/itj.2013.1400.1405

出版社：Academic Journals Inc., USA

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7[期刊论文]

Regional carbon emission evolution mechanism and its prediction approach: a case study of Hebei, China

作者：Jingmin Wang ;Fan Yang ;Keke Chen

来源：Environmental Science and Pollution Research. 2019 ;26(28):28884-28897.doi:10.1007/s11356-019-06021-0

出版社：Springer Nature

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8[期刊论文]

The Influence of Customer Equity Drivers on Specific Purchasing Behavior in Retail Industry

作者：Hongliang Huo ;Wanyou Xu ;Keke Chen

来源：Information Technology Journal. 2013 ;12(11):2236-2240.doi:10.3923/itj.2013.2236.2240

出版社：Academic Journals Inc., USA

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9[期刊论文]

Shilling attack based on item popularity and rated item correlation against collaborative filtering

作者：Keke Chen ;Patrick P. K. Chan ;Fei Zhang 等

来源：International Journal of Machine Learning and Cybernetics. 2019 ;10(7):1-13.doi:10.1007/s13042-018-0861-2

出版社：Springer Nature

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10[期刊论文]

SCALE: a scalable framework for efficiently clustering transactional data

作者：Hua Yan ;Keke Chen ;Ling Liu 等

来源：Data Mining and Knowledge Discovery. 2010 ;20(1):1-27.doi:10.1007/s10618-009-0134-5

出版社：Springer Nature

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