Join synopses for approximate query answering
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Eddies: continuously adaptive query processing
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Hancock: a language for extracting signatures from data streams
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Data mining: concepts and techniques
Data mining: concepts and techniques
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Continuous queries over data streams
ACM SIGMOD Record
ICICLES: Self-Tuning Samples for Approximate Query Answering
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification
RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification
Queue - RFID
Temporal management of RFID data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Supporting RFID-based item tracking applications in Oracle DBMS using a bitmap datatype
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Research issues in data stream association rule mining
ACM SIGMOD Record
Warehousing and Analyzing Massive RFID Data Sets
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays
PERCOM '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
An effective and adaptive data cleaning technique for colossal RFID data sets in healthcare
WSEAS Transactions on Information Science and Applications
A new deferred cleansing technique for effective warehousing of RFID
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
RFID-data compression for supporting aggregate queries
ACM Transactions on Database Systems (TODS)
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Radio Frequency Identification (RFID) applications are emerging as key components in object tracking and supply chain management systems since in the next future almost every major retailer will use RFID systems to track the shipment of products from suppliers to warehouses. Due to the streaming nature of RFID readings, large amounts of data are generated by these devices at high production rates. This phenomenon is even more relevant since RFIDs are so cheap that every individual item can be tagged thus leaving a "trail" of data as it moves across different locations. This scenario raises new challenges in effectively and efficiently exploiting such large amounts of data. In this paper we address the problem of compressing RFID data in order to enable devices with limited amount of available memory (such as PDAs) to issue queries on RFID warehouses. In particular, we designed a lossy strategy for collapsing tuples carrying information about items being delivered at different location of the supply chain.