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 :
|CubiST++: Evaluating Ad-Hoc CUBE Queries Using Statistics Trees
||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
||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
||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
||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.
||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...