Improved query performance with variant indexes
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Bitmap index design and evaluation
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
An efficient bitmap encoding scheme for selection queries
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Oracle8i Index-Organized Table and Its Application to New Domains
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
On the performance of bitmap indices for high cardinality attributes
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
A deferred cleansing method for RFID data analytics
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Managing RFID data in supply chains
International Journal of Internet Protocol Technology
Efficient storage scheme and query processing for supply chain management using RFID
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Cascadia: A System for Specifying, Detecting, and Managing RFID Events
Proceedings of the 6th international conference on Mobile systems, applications, and services
Reducing false reads in RFID-embedded supply chains
Journal of Theoretical and Applied Electronic Commerce Research
Identifying RFID-embedded objects in pervasive healthcare applications
Decision Support Systems
Efficient and effective RFID data warehousing
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Analyses of multi-level and multi-component compressed bitmap indexes
ACM Transactions on Database Systems (TODS)
Mining association rules for RFID data with concept hierarchy
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 2
Authentication and location control via RFID analysis
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Managing and correlating historical events using an event timeline datatype
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Ubiquitous RFID: Where are we?
Information Systems Frontiers
An approximate duplicate elimination in RFID data streams
Data & Knowledge Engineering
Minimizing index size by reordering rows and columns
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
Data management in RFID applications
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
International Journal of E-Business Research
Indexing RFID data using the VG-curve
ADC '12 Proceedings of the Twenty-Third Australasian Database Conference - Volume 124
RFID-data compression for supporting aggregate queries
ACM Transactions on Database Systems (TODS)
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Radio Frequency Identification (RFID) based item-level tracking holds the promise of revolutionizing supply-chain, retail store, and asset management applications. However, the high volume of data generated by item-level tracking poses challenges to the applications as well as to backend databases. This paper addresses the problem of efficiently modeling identifier collections occurring in RFID-based item-tracking applications and databases. Specifically, 1) a bitmap datatype is introduced to compactly represent a collection of identifiers, and 2) a set of bitmap access and manipulation routines is provided. The proposed bitmap datatype can model a collection of generic identifiers, including 64-bit, 96-bit, and 256-bit Electronic Product Codes™ (EPCs), and it can be used to represent both transient and persistent identifier collections. Persistent identifier collections can be stored in a table as a column of bitmap datatype. An efficient primary B+- tree-based storage scheme is proposed for such columns. The bitmap datatype can be easily implemented by leveraging the DBMS bitmap index implementation, which typically manages bitmaps of table row identifiers. This paper presents the bitmap datatype and related functionality, illustrates its usage in supporting RFID-based item-tracking applications, describes its prototype implementation in Oracle DBMS, and gives a performance study that characterizes the benefits of the bitmap datatype.