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Predicting the next location change and time of change for mobile phone users.

, , , , and . MobiGIS, page 51-59. ACM, (2014)

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ILP-based concept discovery in multi-relational data mining., , and . Expert Syst. Appl., 36 (9): 11418-11428 (2009)Transfer Learning Using Twitter Data for Improving Sentiment Classification of Turkish Political News., , and . ISCIS, volume 264 of Lecture Notes in Electrical Engineering, page 139-148. Springer, (2013)Partitioning and Scaling Signed Bipartite Graphs for Polarized Political Blogosphere., , , and . SocialCom, page 168-173. IEEE Computer Society, (2013)Authors' response to än addendum on the incremental assignment problem" by Volgenant., and . Inf. Sci., 178 (23): 4584 (2008)Short-term trend prediction in financial time series data., , and . Knowl. Inf. Syst., 61 (1): 397-429 (2019)Data Mining Based Product Marketing Technique for Banking Products., , , , and . ICDM Workshops, page 552-559. IEEE Computer Society, (2016)A strength-biased prediction model for forecasting exchange rates using support vector machines and genetic algorithms., , and . Soft Comput., 21 (22): 6653-6671 (2017)Predicting the Location and Time of Mobile Phone Users by Using Sequential Pattern Mining Techniques., , , , and . Comput. J., 59 (6): 908-922 (2016)Aggregation in Confidence-Based Concept Discovery for Multi-Relational Data Mining., , and . IADIS European Conf. Data Mining, page 43-52. IADIS, (2008)Discovering More Accurate Frequent Web Usage Patterns, , , and . CoRR, (2008)