Users of database applications, especially in the e-commerce domain, often resort to exploratory "trial-and-error" queries since the underlying data space is huge and unf...
Abhijit Kadlag, Amol V. Wanjari, Juliana Freire, J...
Abstract. Data declustering speeds up large data set retrieval by partitioning the data across multiple disks or sites and performing retrievals in parallel. Performance is determi...
Hak-Cheol Kim, Mario A. Lopez, Scott T. Leutenegge...
In this paper, a State-Based Dynamic Transportation Network (SBDTN) model is presented, which can be used to describe the spatiotemporal aspect of temporally variable transportatio...
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
The vision of the Semantic Web is to reduce manual discovery and usage of Web resources (documents and services) and to allow intelligent agents to automatically identify these Web...
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Abstract. How to query XML documents to extract and restructure the information is an important issue in XML research. Currently, XQuery based on XPath is the most promising standa...
Zhuo Chen, Tok Wang Ling, Mengchi Liu, Gillian Dob...
Abstract. Although XML is the dominant standard for publishing and exchanging data for Internet-based business applications, data is typically stored in relational or object-relati...
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. To encourage users to...
Information and communication infrastructures underwent a rapid and extreme decentralization process over the past decade: From a world of statically and partially connected centra...