Selectivity estimation in spatial databases
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Selectivity Estimation Without the Attribute Value Independence Assumption
VLDB '97 Proceedings of the 23rd 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
Selectivity estimators for multidimensional range queries over real attributes
The VLDB Journal — The International Journal on Very Large Data Bases
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
Warehousing and Analyzing Massive RFID Data Sets
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Spatio-temporal data reduction with deterministic error bounds
The VLDB Journal — The International Journal on Very Large Data Bases
Flowcube: constructing RFID flowcubes for multi-dimensional analysis of commodity flows
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Mining compressed commodity workflows from massive RFID data sets
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
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
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
REHIST: relative error histogram construction algorithms
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
Rk-hist: an r-tree based histogram for multi-dimensional selectivity estimation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
An adaptive RFID middleware for supporting metaphysical data independence
The VLDB Journal — The International Journal on Very Large Data Bases
Efficient storage scheme and query processing for supply chain management using RFID
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Compressed hierarchical binary histograms for summarizing multi-dimensional data
Knowledge and Information Systems
Guessing the extreme values in a data set: a Bayesian method and its applications
The VLDB Journal — The International Journal on Very Large Data Bases
Efficient Data Interpretation and Compression over RFID Streams
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Probabilistic Inference over RFID Streams in Mobile Environments
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Compressing spatio-temporal trajectories
Computational Geometry: Theory and Applications
GSN '09 Proceedings of the 3rd International Conference on GeoSensor Networks
Enabling OLAP in mobile environments via intelligent data cube compression techniques
Journal of Intelligent Information Systems
Introduction to Algorithms, Third Edition
Introduction to Algorithms, Third Edition
Incremental aggregation of RFID data
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Efficient and effective RFID data warehousing
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Hierarchically organized skew-tolerant histograms for geographic data objects
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Histograms reloaded: the merits of bucket diversity
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
A quad-tree based multiresolution approach for two-dimensional summary data
Information Systems
Information Sciences: an International Journal
Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches
Foundations and Trends in Databases
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RFID-based systems for object tracking and supply chain management have been emerging since the RFID technology proved effective in monitoring movements of objects. The monitoring activity typically results in huge numbers of readings, thus making the problem of efficiently retrieving aggregate information from the collected data a challenging issue. In fact, tackling this problem is of crucial importance, as fast answers to aggregate queries are often mandatory to support the decision making process. In this regard, a compression technique for RFID data is proposed, and used as the core of a system supporting the efficient estimation of aggregate queries. Specifically, this technique aims at constructing a lossy synopsis of the data over which aggregate queries can be estimated, without accessing the original data. Owing to the lossy nature of the compression, query estimates are approximate, and are returned along with intervals that are guaranteed to contain the exact query answers. The effectiveness of the proposed approach has been experimentally validated, showing a remarkable trade-off between the efficiency and the accuracy of the query estimation.