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"How May I Help You?": Modeling Twitter Customer ServiceConversations Using Fine-Grained Dialogue Acts.

, , , , and . IUI, page 343-355. ACM, (2017)

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Interactive pattern mining on hidden data: a sampling-based solution., , and . CIKM, page 95-104. ACM, (2012)Don't get Lost in Negation: An Effective Negation Handled Dialogue Acts Prediction Algorithm for Twitter Customer Service Conversations., , , , and . CoRR, (2018)Modeling and Computational Characterization of Twitter Customer Service Conversations., , , , and . ACM Trans. Interact. Intell. Syst., 9 (2-3): 18:1-18:28 (2019)Characterization of the dynamics and interactions of domain names and name server., , , and . CNS, page 387-388. IEEE, (2013)"How May I Help You?": Modeling Twitter Customer ServiceConversations Using Fine-Grained Dialogue Acts., , , , and . IUI, page 343-355. ACM, (2017)GUISE: Uniform Sampling of Graphlets for Large Graph Analysis., , , and . ICDM, page 91-100. IEEE Computer Society, (2012)Interactive knowledge discovery from hidden data through sampling of frequent patterns., and . Stat. Anal. Data Min., 9 (4): 205-229 (2016)An Iterative MapReduce Based Frequent Subgraph Mining Algorithm., and . IEEE Trans. Knowl. Data Eng., 27 (3): 608-620 (2015)GRAFT: an approximate graphlet counting algorithm for large graph analysis., , and . CIKM, page 1467-1471. ACM, (2012)FSM-H: Frequent Subgraph Mining Algorithm in Hadoop., and . BigData Congress, page 9-16. IEEE Computer Society, (2014)