Title
Applying data warehousing technique in pervasive assistive environment
Abstract
Radio Frequency Identification (RFID) is an automatic identification (Auto-ID) Technology, which is most commonly used now days in healthcare for tracking and identifying objects. In the context of assistive environment, statistical query analysis over the history of Data generated from RFID Applications as well as real time monitoring of the patients or the elderly people (people who need assistance) are really important. But Data generated from these types of healthcare applications can be very large, if each individual object becomes RFID-Tagged. As a result, the RFID technology is also imposing a greater challenge to provide efficient query responses over these Data. In this paper, we show how to apply traditional Data Warehousing techniques to model these massive amounts of RFID Data. In short, we describe how to construct an RFID Warehouse so that important query analyses can be performed very efficiently. We also show how to process a continuous stream of RFID Data to answer real time queries using Sliding Window techniques. By the help of using synthetic Datasets, we conclude that querying over Data Warehouse is much faster than traditional Relational DBMS. We also find that the aforesaid performance improvement is expected to be much higher as the size of the Dataset increases.
Year
DOI
Venue
2010
10.1145/1839294.1839333
PETRA
Keywords
Field
DocType
data warehousing technique,important query analysis,pervasive assistive environment,efficient query response,statistical query analysis,rfid technology,data warehouse,elderly people,rfid warehouse,rfid applications,traditional data,rfid data,sliding window,radio frequency identification,data warehousing,real time,rfid tag
Data warehouse,Data mining,Sliding window protocol,Computer science,Relational database management system,Radio-frequency identification,Database,Query analysis,Performance improvement
Conference
Citations 
PageRank 
References 
4
0.50
9
Authors
3
Name
Order
Citations
PageRank
Shahina Ferdous1142.79
Leonidas Fegaras2793158.81
Fillia Makedon31676201.73