9 Result(s)
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Article
AKUPP: attention-enhanced joint propagation of knowledge and user preference for recommendation systems
As knowledge graphs have attracted enormous attention from researchers, much effort has been invested in recommendation systems to mine user preferences effectively. In particular, knowledge graphs, which conv...
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Article
A learned index for approximate kNN queries in high-dimensional spaces
Approximate k-Nearest Neighbor (kNN) search in high-dimensional spaces is a fundamental problem in computer systems and applications. However, traditional indexes for kNN search do not scale gracefully to mass...
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Chapter and Conference Paper
Efficient Source Selection for Error Detection via Matching Dependencies
Data dependencies have been widely used in error detection. However, errors might not be detected when the target data set is sparse and no conflicts occur. With a rapid increase in the number of data sources ...
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Chapter and Conference Paper
Source Selection for Inconsistency Detection
Inconsistencies in a database can be detected based on violations of integrity constraints, such as functional depencies (FDs). In big data era, many related data sources give us the chance of detecting incons...
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Chapter and Conference Paper
Entity Resolution in Big Data Era: Challenges and Applications
Entity resolution plays an important role in many fields. Due to its importance, it has been widely studied. However, in big data era, entity resolution brings new challenges including high scalability, coexis...
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Chapter and Conference Paper
Evaluation and Recommendation Methods Based on Graph Model
Evaluation and recommendation are different actions, but they are consistent in mining and using information efficiently and effectively to improve their persuasiveness and accuracy. From the view of informati...
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Chapter and Conference Paper
EIF: A Framework of Effective Entity Identification
Entity identification, that is to build corresponding relationships between objects and entities in dirty data, plays an important role in data cleaning. The confusion between entities and their names often re...
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Chapter and Conference Paper
Efficient Algorithms for Skyline Top-K Keyword Queries on XML Streams
Keywords are suitable for query XML streams without schema information. In current forms of keywords search on XML streams, rank functions do not always represent users’ intentions. This paper addresses this p...
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Chapter
Research on Rough Set Theory and Applications in China
This article gives a capsule view of research on rough set theory and applications ongoing at universities and laboratories in China. Included in this capsule view of rough set research is a brief description ...
