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Lixin Fu

Dr. Fu's main research areas are in data warehousing, data cube, data mining, databases, and algorithms.

There are 5 included publications by Lixin Fu :

TitleDateViewsBrief Description
CubiST++: Evaluating Ad-Hoc CUBE Queries Using Statistics Trees 2003 456 We report on a new, efficient encoding for the data cube, which results in a drastic speed-up of OLAP queries that aggregate along any combination of dimensions over numerical and categorical attributes. We are focusing on a class of queries called <...
CubiST: A New Algorithm for Improving the Performance of Ad-hoc OLAP Queries 2000 409 Being able to efficiently answer arbitrary OLAP queries that aggregate along any combination of dimensions over numerical and categorical attributes has been a continued, major concern in data warehousing. In this paper, we introduce a new data struc...
Efficient Evaluation of Sparse Data Cubes 2004 622 Computing data cubes requires the aggregation of measures over arbitrary combinations of dimensions in a data set. Efficient data cube evaluation remains challenging because of the potentially very large sizes of input datasets (e.g., in the data war...
Evaluating holistic aggregators efficiently for very large datasets 2004 248 In data warehousing applications, numerous OLAP queries involve the processing of holistic aggregators such as computing the “top n,” median, quantiles, etc. In this paper, we present a novel approach called dynamic bucketing to efficiently evaluate ...
Handheld Computing and Programming for Mobile Commerce. 2006 2504 Using Internet-enabled mobile handheld devices to access the World Wide Web is a promising addition to the Web and traditional e-commerce. Mobile handheld devices provide convenience and portable access to the huge information on the Internet for mob...