| Document Date: 2006-03-02 16:01:29
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City Urbana / / Company NetBeans / Baxter / CP / Intel / Microsoft / / Currency USD / / / Facility University of Illinois / Microsoft Visual Studio / / IndustryTerm data mining techniques / copy-paste / Web Apache / static tools / static tool / largescale software / frequent subsequence mining algorithms / copy-paste detection tool / suffix tree algorithm / data mining algorithm / depth-first search procedure / large software / nonexpandable copy-paste / copy-paste detection tools / software versions / data mining / abstract pattern matching tool / dynamic programming algorithm / memory-related bug detection tools / frequent subsequence mining problem / large systems / basic mining algorithm / plagiarism detection tools / frequent sequence mining / software suites / frequent subsequence mining algorithm / dynamic tools / software suite / software development tools / code clone detection tool / evaluated software / software bugs / dynamic bug detection tools / proposed tool / storage systems / large software suites / Web server / search tree / computing / frequent subsequence mining / frequent subsequence mining techniques / detection algorithm / graphical tools / software maintenance / given software / test applications / Apache web server / / MarketIndex TSE 0210 / / OperatingSystem Linux / L3 / FreeBSD / / Organization University of Illinois / Department of Computer Science / US Federal Reserve / IEEE Computer Society / / Person Shan Lu / Yuanyuan Zhou / Suvda Myagmar / / Position CP-Miner / programmer / / Product CloSpan / CCFinder / / ProgrammingLanguage BASIC / C / C++ / / ProvinceOrState Illinois / IOPs / / PublishedMedium IEEE TRANSACTIONS ON SOFTWARE ENGINEERING / / Technology fingerprinting algorithm / frequent subsequence mining algorithm / Linux / cloning / operating system / basic mining algorithm / operating systems / frequent subsequence mining algorithms / CloSpan algorithm / mining algorithm / X Window system / suffix tree algorithm / data mining / I/O processors / dynamic programming algorithm / existing frequent subsequence mining algorithms / data mining algorithm / detection algorithm / web server / /
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IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, VOL. 32, NO. 3,