NDLI: Developing data allocation schemes by incremental mining of user moving patterns in a mobile computing system

Content Provider	IEEE Xplore Digital Library
Author	Wen-Chih Peng Ming-Syan Chen
Copyright Year	1989
Abstract	In this paper, we present a new data mining algorithm which involves incremental mining for user moving patterns in a mobile computing environment and exploit the mining results to develop data allocation schemes so as to improve the overall performance of a mobile system. First, we propose an algorithm to capture the frequent user moving patterns from a set of log data in a mobile environment. The algorithm proposed is enhanced with the incremental mining capability and is able to discover new moving patterns efficiently without compromising the quality of results obtained. Then, in light of mining results of user moving patterns and the properties of data objects, we develop data allocation schemes that can utilize the knowledge of user moving patterns for proper allocation of both personal and shared data. By employing the data allocation schemes, the occurrences of costly remote accesses can be minimized and the performance of a mobile computing system is thus improved. For personal data allocation, two schemes are devised: one utilizes the set level of moving patterns and the other utilizes their path level. Schemes for shared data are also developed. Performance of these schemes is comparatively analyzed.
Sponsorship	IEEE IEEE Comput. Soc. Tech. Committee on Data Eng IEEE Computer Society
Starting Page	70
Ending Page	85
Page Count	16
File Size	1142932
File Format	PDF
ISSN	10414347
Volume Number	15
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mobile computing Distributed computing Information systems Wireless communication Computer architecture Mobile communication Costs Data mining Performance analysis Computational modeling
Content Type	Text
Resource Type	Article
Subject	Information Systems Computational Theory and Mathematics Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Shared data allocation in a mobile computing system: exploring local and global optimization

Performance analysis of location-dependent cache invalidation schemes for mobile environments

Locating objects in mobile computing

Exploiting data mining techniques for broadcasting data in mobile computing environments

Energy Efficient Data Access in Mobile P2P Networks

Termination detection protocols for mobile distributed systems

Mobile and Ubiquitous Objects

Data consistency in intermittently connected distributed systems

Interagent communication and synchronization support in the DaAgent mobile agent-based computing system

Developing data allocation schemes by incremental mining of user moving patterns in a mobile computing system

Similar Documents

Shared data allocation in a mobile computing system: exploring local and global optimization

Performance analysis of location-dependent cache invalidation schemes for mobile environments

Locating objects in mobile computing

Exploiting data mining techniques for broadcasting data in mobile computing environments

Energy Efficient Data Access in Mobile P2P Networks

Termination detection protocols for mobile distributed systems

Mobile and Ubiquitous Objects

Data consistency in intermittently connected distributed systems

Interagent communication and synchronization support in the DaAgent mobile agent-based computing system

Developing data allocation schemes by incremental mining of user moving patterns in a mobile computing system