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Comparing Similarity of HTML Structures and Affiliate IDs in Splog Analysis., , , , , and . DASFAA Workshops, volume 6637 of Lecture Notes in Computer Science, page 378-389. Springer, (2011)A Classification Framework of Identifying Major Documents With Search Engine Suggestions and Unsupervised Subtopic Clustering., , and . Int. J. Cogn. Informatics Nat. Intell., 15 (4): 1-15 (2021)An empirical study on selective sampling in active learning for splog detection., , , , , and . AIRWeb, page 29-36. (2009)Identifying Tips Web Sites of a Specific Query based on Search Engine Suggests and the Topic Distribution., , , , , , and . IEEE BigData, page 4360-4366. IEEE, (2018)Clustering Search Engine Suggests by Modeling Topics of Web Pages collected with Suggests., , , , , and . IMCOM, page 50:1-50:7. ACM, (2016)Analyzing Time Series Changes of Correlation between Market Share and Concerns on Companies measured through Search Engine Suggests., , , , , , , and . LREC, European Language Resources Association (ELRA), (2016)Collecting and Analyzing Japanese Splogs based on Characteristics of Keywords., , , , , , and . ICWSM, The AAAI Press, (2008)Cross-Lingual Analysis of Concerns and Reports on Crimes in Blogs., , , , , , , , and . UCMedia, volume 40 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 315-320. Springer, (2009)An Empirical Study on Optimal Correlation between Market Share and Concerns on Companies Measured through Search Engine Suggests., , , , , and . AINA Workshops, page 214-219. IEEE Computer Society, (2016)Overviewing the Knowledge of a Query Keyword by Clustering Viewpoints of Web Search Information Needs., , , , , and . AINA Workshops, page 535-540. IEEE Computer Society, (2015)