| Document Date: 2005-03-31 03:15:43
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City Chiba / New Delhi / Mumbai / / Company Dell / IBM / Intel / Microsoft / Cisco / / Country Japan / / Currency USD / / / Facility Indian Institute of Technology / / IndustryTerm positivenegative algorithm / Online Information Services / query incoherency algorithms / real time decisions / campus network / data incoherency algorithm / web servers / client infrastructure / traffic policing server / query processing techniques / push algorithm / idealized push algorithm / positive-negative algorithm / max-algorithm / web sources / heuristic algorithms / web data aggregators / Web Data Aggregators Rajeev Gupta1 Ashish Puri / approximate algorithm / data aggregating server / finance / online decision making / pull algorithm / Web infrastructure / / Organization International World Wide Web Conference Committee / US Federal Reserve / Indian Institute of Technology / Bombay / / Position author / India General / candidate data items / General / / Product Pyle P32 Television / / ProgrammingLanguage ABC / / Technology two heuristic algorithms / positivenegative algorithm / three algorithms / HTTP protocol / multi-COMIQ pull algorithm / pull algorithm / query incoherency algorithms / 2.2 Max Algorithm / idealized push algorithm / HTTP / simulation / positive-negative algorithm / max algorithm / push algorithm / data incoherency algorithm / 2.1 Positive−Negative Algorithm / / URL http /
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Executing Incoherency Bounded Continuous Queries at Web Data Aggregators Rajeev Gupta1 Ashish Puri, Krithi Ramamritham