The temporal query language TQuel
ACM Transactions on Database Systems (TODS)
ACM Computing Surveys (CSUR)
ACM Computing Surveys (CSUR)
Temporal semantics in information systems: a survey
Information Systems
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Mobile wireless computing: challenges in data management
Communications of the ACM
Mobile computing and databases: anything new?
ACM SIGMOD Record
Data warehousing alternatives for mobile environments
Proceedings of the 1st ACM international workshop on Data engineering for wireless and mobile access
Rule based adaptation in mobile database systems
SAC '97 Proceedings of the 1997 ACM symposium on Applied computing
Mobile Computing and Databases-A Survey
IEEE Transactions on Knowledge and Data Engineering
Database Access in Mobile Environments
DEXA '96 Proceedings of the 7th International Conference on Database and Expert Systems Applications
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
A General-Purpose Compression Scheme for Databases
DCC '99 Proceedings of the Conference on Data Compression
Trends and Future of Mobile Computing
DEXA '99 Proceedings of the 10th International Workshop on Database & Expert Systems Applications
Programming Views for Mobile Database Clients
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
Conceptual Design of Data Warehouses from E/R Schema
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 7 - Volume 7
Information dissemination framework for context-aware products
Computers and Industrial Engineering
Method for embedding context-sensitive information on “communicating textiles” via fuzzy AHP
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In mobile computing environments, as a result of the reduced capacity of local storage, it is commonly not feasible to replicate entire datasets on each mobile unit. In addition, reliable, secure and economical access to central servers is not always possible. Moreover, since mobile computers are designed to be portable, they are also physically small and thus often unable to hold or process the large amounts of data held in centralised databases. As many systems are only as useful as the data they can process, the support provided by database and system management middleware for applications in mobile environments is an important driver for the uptake of this technology by application providers and thus also for the wider use of the technology.One of the approaches to maximize the available storage is through the use of database summarisation. To date, most strategies for reducing data volumes have used compression techniques that ignore the semantics of the data. Those that do not use data compression techniques adopt structural (i.e. data and use-independent) methods. In this paper, we outline the special constraints imposed on storing information in mobile databases and provide a flexible data summarisation policy. The method works by assigning a level of priority to each data item through the setting of a number of parameters. The paper discusses some policies for setting these parameters and some implementation strategies.