Data provenance is information that describes how a given data item was produced. The provenance includes source and intermediate data as well as the transformations involved in pr...
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
Information networks are widely used to characterize the relationships between data items such as text documents. Many important retrieval and mining tasks rely on ranking the dat...
In this paper, we consider techniques for disseminating dynamic data--such as stock prices and real-time weather information--from sources to a set of repositories. We focus on th...
Shetal Shah, Krithi Ramamritham, Prashant J. Sheno...
For a large-scale data-intensive environment, such as the World-Wide Web or data warehousing, we often make local copies of remote data sources. Due to limited network and computa...
In a distributed real-time database system (DRTDBS), a commit protocol is required to ensure transaction failure atomicity. If data conflicts occur between executing and committin...
Kam-yiu Lam, Chung-Leung Pang, Sang Hyuk Son, Jian...
Abstract-- The computation of the union operator for different distributed datasets involves two challenges when participants are curious and can even act malicious: guaranteeing a...
Many special purpose algorithms exist for extracting information from streaming data. Constraints are imposed on the total memory and on the average processing time per data item....
In our previous work, we proposed few updated data dissemination methods to refresh old replicas efficiently in mobile ad hoc networks. These methods disseminate updated data item...
As sensor networks are being increasingly deployed in decisionmaking infrastructures such as battlefield monitoring systems and SCADA(Supervisory Control and Data Acquisition) sys...