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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 专题：大连理工大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Detecting Spam and Promoting Campaigns in Twitter 期刊论文 ACM TRANSACTIONS ON THE WEB, 2016, 卷号: 10 作者:  Zhang, Xianchao;  Li, Zhaoxing;  Zhu, Shaoping;  Liang, Wenxin 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/09 Algorithms  Measurement  Experimentation  Social network  social spam  campaign detection   A Social Spam Detection Framework via Semi-supervised Learning 会议论文 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Auckland, NEW ZEALAND, 2016-04-19 作者:  Zhang, Xianchao;  Bai, Haijun;  Liang, Wenxin 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/09 Semi-supervised learning  Social spam  Co-training  k-medoids   A Semi-Supervised Framework for Social Spammer Detection 会议论文 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), John Neumann Inst, Ho Chi Minh City, VIETNAM, 2015-05-19 作者:  Li, Zhaoxing;  Zhang, Xianchao;  Shen, Hua;  Liang, Wenxin;  He, Zengyou 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/09 Semi-supervised Learning  Social Spam  Social Graph   Propagating Anti-TrustRank with Relationship Strength for Fighting Link Farming on Twitter 会议论文 1st International Seminar on Computation, Communication and Control (IS3C), Sydney, AUSTRALIA 作者:  Hua Shen;  Liu, Xinyue 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/09 Anti-Trustrank  Social Spam  Relationship Strength   Detecting Spam Reviewers by Combing Reviewer Feature and Relationship 会议论文 International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS), Qingdao, PEOPLES R CHINA, 2014-10-09 作者:  Liang, Dongxu;  Liu, Xinyue;  Shen, Hua 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/09 review spam  review inter-relationship  group spammers   Detecting Spam and Promoting Campaigns in the Twitter Social Network 会议论文 12th IEEE International Conference on Data Mining (ICDM), Brussels, BELGIUM, 2012-01-01 作者:  Zhang, Xianchao;  Zhu, Shaoping;  Liang, Wenxin 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/13 social spam  campaign detect  similarity measure