2026-09-19T14:03:20Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/26413 2023-07-10 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Chang, Kevin C-C. Zhong, Hengzhi 2011-08-26T15:34:57Z 2011-08-26T15:34:57Z 2013-08-27T10:00:28Z 2011-08-26T15:34:57Z 2011-08 Many applications are interested in mining context-aware sequential patterns such as opinions, common navigation patterns, and product recommendations. However, traditional sequential pattern mining algorithms are not effective to mine such patterns. We thus study the problem of searching context-aware patterns on the fly. As a solution, we presented a variable-order random walk as the ranking model and developed two efficient algorithms GraphCAP and R3CAP. To show the effectiveness and efficiency of our solution, we conducted extensive experiments on real dataset. Lastly, we applied our solution to support opinion search, a novel application that significantly differs from traditional opinion mining and retrieval. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-05-24T13:10:01Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Zhong_Hengzhi.pdf: 646889 bytes, checksum: ed0b03be2b1bfa62f2bb60be2626c4ee (MD5) Made available in DSpace on 2011-08-26T15:34:57Z (GMT). No. of bitstreams: 2 Zhong_Hengzhi.pdf: 646889 bytes, checksum: ed0b03be2b1bfa62f2bb60be2626c4ee (MD5) license.txt: 4061 bytes, checksum: 126e631a59a663e58ca0c4005cfb88a9 (MD5) Item marked as restricted to the 'Administrator' Group (id=1) by William Ingram (wingram2@illinois.edu) on 2011-08-26T15:35:53Z Item is restricted until 2013-08-26T15:35:26Z Item reinstated by Sarah Shreeves (sshreeve@illinois.edu) on 2013-08-27T10:00:28Z Item was in collections: University of Illinois Dissertations and Theses (ID: 204) Dissertations and Theses - Computer Science (ID: 587) No. of bitstreams: 3 Zhong_Hengzhi.pdf.txt: 66362 bytes, checksum: 6341eb2d3c2c167b43bbe478f050d728 (MD5) Zhong_Hengzhi.pdf: 646889 bytes, checksum: ed0b03be2b1bfa62f2bb60be2626c4ee (MD5) license.txt: 4061 bytes, checksum: 126e631a59a663e58ca0c4005cfb88a9 (MD5) Item released from any restrictions by Sarah Shreeves (sshreeve@illinois.edu) on 2013-08-27T10:00:28Z http://hdl.handle.net/2142/26413 en Copyright 2011 Hengzhi Zhong Sequential pattern mining opinion search CASM: searching context-aware sequential patterns iteratively Computer Science 1434 Computer Science 0112 University of Illinois at Urbana-Champaign Thesis M.S. PHD:Computer Science -UIUC 10KS0112PHD